-- This SQL code was generated by sklearn2sql (development version).
-- Copyright 2017

WITH `DT_node_lookup` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 1 ELSE 2 END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 1 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 1 AS depth, 0 AS parent_id, 2.0510574779336337 AS `Estimator` UNION ALL SELECT 2 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 83 AS count, 1 AS depth, 0 AS parent_id, -0.9877063910185623 AS `Estimator`) AS `Values`), 
`DT_Output` AS 
(SELECT `DT_node_lookup`.`KEY` AS `KEY`, `DT_node_lookup`.node_id_2 AS node_id_2, `DT_node_data`.node_id AS node_id, `DT_node_data`.feature AS feature, `DT_node_data`.threshold AS threshold, `DT_node_data`.count AS count, `DT_node_data`.depth AS depth, `DT_node_data`.parent_id AS parent_id, `DT_node_data`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup` LEFT OUTER JOIN `DT_node_data` ON `DT_node_lookup`.node_id_2 = `DT_node_data`.node_id), 
`GB_Tree_0_0` AS 
(SELECT `DT_Output`.`KEY` AS `KEY`, `DT_Output`.`Estimator` AS `Score_0`, 0.0 AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output`), 
`DT_node_lookup_1` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.949999809265137) THEN CASE WHEN (`ADS`.`Feature_2` <= 2.450000047683716) THEN 2 ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN 4 ELSE 5 END END ELSE CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN CASE WHEN (`ADS`.`Feature_1` <= 2.75) THEN 8 ELSE 9 END ELSE 10 END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_1` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 2 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 2 AS depth, 1 AS parent_id, -0.9666077006452193 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 38 AS count, 3 AS depth, 3 AS parent_id, 1.9392650649589256 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 6 AS count, 3 AS depth, 3 AS parent_id, -0.52337947213988 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 7 AS parent_id, -1.0159083795596409 AS `Estimator` UNION ALL SELECT 9 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 7 AS parent_id, 1.9392650649589265 AS `Estimator` UNION ALL SELECT 10 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 35 AS count, 2 AS depth, 6 AS parent_id, -1.0159083795596409 AS `Estimator`) AS `Values`), 
`DT_Output_1` AS 
(SELECT `DT_node_lookup_1`.`KEY` AS `KEY`, `DT_node_lookup_1`.node_id_2 AS node_id_2, `DT_node_data_1`.node_id AS node_id, `DT_node_data_1`.feature AS feature, `DT_node_data_1`.threshold AS threshold, `DT_node_data_1`.count AS count, `DT_node_data_1`.depth AS depth, `DT_node_data_1`.parent_id AS parent_id, `DT_node_data_1`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_1` LEFT OUTER JOIN `DT_node_data_1` ON `DT_node_lookup_1`.node_id_2 = `DT_node_data_1`.node_id), 
`GB_Tree_0_1` AS 
(SELECT `DT_Output_1`.`KEY` AS `KEY`, 0.0 AS `Score_0`, `DT_Output_1`.`Estimator` AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_1`), 
`DT_node_lookup_2` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.850000381469727) THEN CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 3 ELSE 4 END ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.0999999046325684) THEN 6 ELSE 7 END END ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.75) THEN CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN 10 ELSE 11 END ELSE CASE WHEN (`ADS`.`Feature_2` <= 4.949999809265137) THEN 13 ELSE 14 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_2` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 3 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 3 AS depth, 2 AS parent_id, -0.9913583102887684 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 36 AS count, 3 AS depth, 2 AS parent_id, -0.9925375781538265 AS `Estimator` UNION ALL SELECT 6 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 5 AS parent_id, 1.8582291682699645 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 5 AS parent_id, -1.0396596434063892 AS `Estimator` UNION ALL SELECT 10 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 4 AS count, 3 AS depth, 9 AS parent_id, -0.26088198655276484 AS `Estimator` UNION ALL SELECT 11 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 9 AS parent_id, 1.828573904632709 AS `Estimator` UNION ALL SELECT 13 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 12 AS parent_id, 1.8582291682699648 AS `Estimator` UNION ALL SELECT 14 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 34 AS count, 3 AS depth, 12 AS parent_id, 1.8285739046327092 AS `Estimator`) AS `Values`), 
`DT_Output_2` AS 
(SELECT `DT_node_lookup_2`.`KEY` AS `KEY`, `DT_node_lookup_2`.node_id_2 AS node_id_2, `DT_node_data_2`.node_id AS node_id, `DT_node_data_2`.feature AS feature, `DT_node_data_2`.threshold AS threshold, `DT_node_data_2`.count AS count, `DT_node_data_2`.depth AS depth, `DT_node_data_2`.parent_id AS parent_id, `DT_node_data_2`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_2` LEFT OUTER JOIN `DT_node_data_2` ON `DT_node_lookup_2`.node_id_2 = `DT_node_data_2`.node_id), 
`GB_Tree_0_2` AS 
(SELECT `DT_Output_2`.`KEY` AS `KEY`, 0.0 AS `Score_0`, 0.0 AS `Score_1`, `DT_Output_2`.`Estimator` AS `Score_2` 
FROM `DT_Output_2`), 
`DT_node_lookup_3` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 1 ELSE CASE WHEN (`ADS`.`Feature_1` <= 2.25) THEN CASE WHEN (`ADS`.`Feature_2` <= 4.75) THEN 4 ELSE 5 END ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.1500000953674316) THEN 7 ELSE 8 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_3` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 1 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 1 AS depth, 0 AS parent_id, 1.689157295953138 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 3 AS parent_id, -0.9416121146870592 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 3 AS parent_id, -0.9763188885982715 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 63 AS count, 3 AS depth, 6 AS parent_id, -0.9412014398592402 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 17 AS count, 3 AS depth, 6 AS parent_id, -0.9447780370738708 AS `Estimator`) AS `Values`), 
`DT_Output_3` AS 
(SELECT `DT_node_lookup_3`.`KEY` AS `KEY`, `DT_node_lookup_3`.node_id_2 AS node_id_2, `DT_node_data_3`.node_id AS node_id, `DT_node_data_3`.feature AS feature, `DT_node_data_3`.threshold AS threshold, `DT_node_data_3`.count AS count, `DT_node_data_3`.depth AS depth, `DT_node_data_3`.parent_id AS parent_id, `DT_node_data_3`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_3` LEFT OUTER JOIN `DT_node_data_3` ON `DT_node_lookup_3`.node_id_2 = `DT_node_data_3`.node_id), 
`GB_Tree_1_0` AS 
(SELECT `DT_Output_3`.`KEY` AS `KEY`, `DT_Output_3`.`Estimator` AS `Score_0`, 0.0 AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_3`), 
`DT_node_lookup_4` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.949999809265137) THEN CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 2 ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN 4 ELSE 5 END END ELSE CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN CASE WHEN (`ADS`.`Feature_1` <= 2.75) THEN 8 ELSE 9 END ELSE 10 END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_4` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 2 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 2 AS depth, 1 AS parent_id, -0.9246310852227178 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 38 AS count, 3 AS depth, 3 AS parent_id, 1.6201485793624677 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 6 AS count, 3 AS depth, 3 AS parent_id, -0.4787676026117111 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 7 AS parent_id, -0.9758369360998402 AS `Estimator` UNION ALL SELECT 9 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 7 AS parent_id, 1.656845239259456 AS `Estimator` UNION ALL SELECT 10 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 35 AS count, 2 AS depth, 6 AS parent_id, -0.9625983705401248 AS `Estimator`) AS `Values`), 
`DT_Output_4` AS 
(SELECT `DT_node_lookup_4`.`KEY` AS `KEY`, `DT_node_lookup_4`.node_id_2 AS node_id_2, `DT_node_data_4`.node_id AS node_id, `DT_node_data_4`.feature AS feature, `DT_node_data_4`.threshold AS threshold, `DT_node_data_4`.count AS count, `DT_node_data_4`.depth AS depth, `DT_node_data_4`.parent_id AS parent_id, `DT_node_data_4`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_4` LEFT OUTER JOIN `DT_node_data_4` ON `DT_node_lookup_4`.node_id_2 = `DT_node_data_4`.node_id), 
`GB_Tree_1_1` AS 
(SELECT `DT_Output_4`.`KEY` AS `KEY`, 0.0 AS `Score_0`, `DT_Output_4`.`Estimator` AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_4`), 
`DT_node_lookup_5` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.850000381469727) THEN CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN CASE WHEN (`ADS`.`Feature_2` <= 2.450000047683716) THEN 3 ELSE 4 END ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.0999999046325684) THEN 6 ELSE 7 END END ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.75) THEN CASE WHEN (`ADS`.`Feature_2` <= 4.949999809265137) THEN 10 ELSE 11 END ELSE CASE WHEN (`ADS`.`Feature_2` <= 4.949999809265137) THEN 13 ELSE 14 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_5` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 3 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 3 AS depth, 2 AS parent_id, -0.9423593748040703 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 36 AS count, 3 AS depth, 2 AS parent_id, -0.9440141850705256 AS `Estimator` UNION ALL SELECT 6 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 5 AS parent_id, 1.5893551277023523 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 5 AS parent_id, -1.0272301775992452 AS `Estimator` UNION ALL SELECT 10 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 9 AS parent_id, -0.9650627419433698 AS `Estimator` UNION ALL SELECT 11 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 5 AS count, 3 AS depth, 9 AS parent_id, 1.1345525398860852 AS `Estimator` UNION ALL SELECT 13 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 12 AS parent_id, 1.5893551277023525 AS `Estimator` UNION ALL SELECT 14 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 34 AS count, 3 AS depth, 12 AS parent_id, 1.546434149948235 AS `Estimator`) AS `Values`), 
`DT_Output_5` AS 
(SELECT `DT_node_lookup_5`.`KEY` AS `KEY`, `DT_node_lookup_5`.node_id_2 AS node_id_2, `DT_node_data_5`.node_id AS node_id, `DT_node_data_5`.feature AS feature, `DT_node_data_5`.threshold AS threshold, `DT_node_data_5`.count AS count, `DT_node_data_5`.depth AS depth, `DT_node_data_5`.parent_id AS parent_id, `DT_node_data_5`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_5` LEFT OUTER JOIN `DT_node_data_5` ON `DT_node_lookup_5`.node_id_2 = `DT_node_data_5`.node_id), 
`GB_Tree_1_2` AS 
(SELECT `DT_Output_5`.`KEY` AS `KEY`, 0.0 AS `Score_0`, 0.0 AS `Score_1`, `DT_Output_5`.`Estimator` AS `Score_2` 
FROM `DT_Output_5`), 
`DT_node_lookup_6` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 2.450000047683716) THEN 1 ELSE CASE WHEN (`ADS`.`Feature_1` <= 2.25) THEN CASE WHEN (`ADS`.`Feature_2` <= 4.75) THEN 4 ELSE 5 END ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.1500000953674316) THEN 7 ELSE 8 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_6` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 1 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 1 AS depth, 0 AS parent_id, 1.453268256223787 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 3 AS parent_id, -0.9026014023156532 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 3 AS parent_id, -0.9422970229567725 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 63 AS count, 3 AS depth, 6 AS parent_id, -0.9023306043503599 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 17 AS count, 3 AS depth, 6 AS parent_id, -0.9083477681596799 AS `Estimator`) AS `Values`), 
`DT_Output_6` AS 
(SELECT `DT_node_lookup_6`.`KEY` AS `KEY`, `DT_node_lookup_6`.node_id_2 AS node_id_2, `DT_node_data_6`.node_id AS node_id, `DT_node_data_6`.feature AS feature, `DT_node_data_6`.threshold AS threshold, `DT_node_data_6`.count AS count, `DT_node_data_6`.depth AS depth, `DT_node_data_6`.parent_id AS parent_id, `DT_node_data_6`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_6` LEFT OUTER JOIN `DT_node_data_6` ON `DT_node_lookup_6`.node_id_2 = `DT_node_data_6`.node_id), 
`GB_Tree_2_0` AS 
(SELECT `DT_Output_6`.`KEY` AS `KEY`, `DT_Output_6`.`Estimator` AS `Score_0`, 0.0 AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_6`), 
`DT_node_lookup_7` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN CASE WHEN (`ADS`.`Feature_2` <= 2.450000047683716) THEN 2 ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN 4 ELSE 5 END END ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.7000000476837158) THEN 7 ELSE 8 END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_7` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 2 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 2 AS depth, 1 AS parent_id, -0.8887621287265675 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 39 AS count, 3 AS depth, 3 AS parent_id, 1.3538332186233746 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 9 AS count, 3 AS depth, 3 AS parent_id, -0.28423894709764064 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 2 AS depth, 6 AS parent_id, -0.9254447049514568 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 32 AS count, 2 AS depth, 6 AS parent_id, -0.9185664398705742 AS `Estimator`) AS `Values`), 
`DT_Output_7` AS 
(SELECT `DT_node_lookup_7`.`KEY` AS `KEY`, `DT_node_lookup_7`.node_id_2 AS node_id_2, `DT_node_data_7`.node_id AS node_id, `DT_node_data_7`.feature AS feature, `DT_node_data_7`.threshold AS threshold, `DT_node_data_7`.count AS count, `DT_node_data_7`.depth AS depth, `DT_node_data_7`.parent_id AS parent_id, `DT_node_data_7`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_7` LEFT OUTER JOIN `DT_node_data_7` ON `DT_node_lookup_7`.node_id_2 = `DT_node_data_7`.node_id), 
`GB_Tree_2_1` AS 
(SELECT `DT_Output_7`.`KEY` AS `KEY`, 0.0 AS `Score_0`, `DT_Output_7`.`Estimator` AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_7`), 
`DT_node_lookup_8` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.850000381469727) THEN CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 3 ELSE 4 END ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.0999999046325684) THEN 6 ELSE 7 END END ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.75) THEN CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN 10 ELSE 11 END ELSE CASE WHEN (`ADS`.`Feature_2` <= 4.949999809265137) THEN 13 ELSE 14 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_8` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 3 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 3 AS depth, 2 AS parent_id, -0.9017205235864117 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 36 AS count, 3 AS depth, 2 AS parent_id, -0.904381760559456 AS `Estimator` UNION ALL SELECT 6 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 5 AS parent_id, 1.4101297962415975 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 5 AS parent_id, -1.0112205182696732 AS `Estimator` UNION ALL SELECT 10 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 4 AS count, 3 AS depth, 9 AS parent_id, -0.23072114663042867 AS `Estimator` UNION ALL SELECT 11 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 9 AS parent_id, 1.383543826192482 AS `Estimator` UNION ALL SELECT 13 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 12 AS parent_id, 1.4101297962415975 AS `Estimator` UNION ALL SELECT 14 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 34 AS count, 3 AS depth, 12 AS parent_id, 1.3560481773696231 AS `Estimator`) AS `Values`), 
`DT_Output_8` AS 
(SELECT `DT_node_lookup_8`.`KEY` AS `KEY`, `DT_node_lookup_8`.node_id_2 AS node_id_2, `DT_node_data_8`.node_id AS node_id, `DT_node_data_8`.feature AS feature, `DT_node_data_8`.threshold AS threshold, `DT_node_data_8`.count AS count, `DT_node_data_8`.depth AS depth, `DT_node_data_8`.parent_id AS parent_id, `DT_node_data_8`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_8` LEFT OUTER JOIN `DT_node_data_8` ON `DT_node_lookup_8`.node_id_2 = `DT_node_data_8`.node_id), 
`GB_Tree_2_2` AS 
(SELECT `DT_Output_8`.`KEY` AS `KEY`, 0.0 AS `Score_0`, 0.0 AS `Score_1`, `DT_Output_8`.`Estimator` AS `Score_2` 
FROM `DT_Output_8`), 
`DT_node_lookup_9` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 1 ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.1500000953674316) THEN CASE WHEN (`ADS`.`Feature_1` <= 2.25) THEN 4 ELSE 5 END ELSE CASE WHEN (`ADS`.`Feature_0` <= 5.949999809265137) THEN 7 ELSE 8 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_9` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 1 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 1 AS depth, 0 AS parent_id, 1.2886195936729037 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 3 AS parent_id, -0.8828136120690747 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 63 AS count, 3 AS depth, 3 AS parent_id, -0.8695572548862743 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 6 AS parent_id, -0.9663769795185796 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 16 AS count, 3 AS depth, 6 AS parent_id, -0.8708352672988912 AS `Estimator`) AS `Values`), 
`DT_Output_9` AS 
(SELECT `DT_node_lookup_9`.`KEY` AS `KEY`, `DT_node_lookup_9`.node_id_2 AS node_id_2, `DT_node_data_9`.node_id AS node_id, `DT_node_data_9`.feature AS feature, `DT_node_data_9`.threshold AS threshold, `DT_node_data_9`.count AS count, `DT_node_data_9`.depth AS depth, `DT_node_data_9`.parent_id AS parent_id, `DT_node_data_9`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_9` LEFT OUTER JOIN `DT_node_data_9` ON `DT_node_lookup_9`.node_id_2 = `DT_node_data_9`.node_id), 
`GB_Tree_3_0` AS 
(SELECT `DT_Output_9`.`KEY` AS `KEY`, `DT_Output_9`.`Estimator` AS `Score_0`, 0.0 AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_9`), 
`DT_node_lookup_10` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.949999809265137) THEN CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 2 ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN 4 ELSE 5 END END ELSE CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN CASE WHEN (`ADS`.`Feature_1` <= 2.75) THEN 8 ELSE 9 END ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.7000000476837158) THEN 11 ELSE 12 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_10` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 2 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 2 AS depth, 1 AS parent_id, -0.8581149395285937 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 38 AS count, 3 AS depth, 3 AS parent_id, 1.2586184462240162 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 6 AS count, 3 AS depth, 3 AS parent_id, -0.4058029892710789 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 7 AS parent_id, -0.9427332481595332 AS `Estimator` UNION ALL SELECT 9 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 7 AS parent_id, 1.5125681841291705 AS `Estimator` UNION ALL SELECT 11 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 10 AS parent_id, -0.8875825156283418 AS `Estimator` UNION ALL SELECT 12 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 32 AS count, 3 AS depth, 10 AS parent_id, -0.8818450011624256 AS `Estimator`) AS `Values`), 
`DT_Output_10` AS 
(SELECT `DT_node_lookup_10`.`KEY` AS `KEY`, `DT_node_lookup_10`.node_id_2 AS node_id_2, `DT_node_data_10`.node_id AS node_id, `DT_node_data_10`.feature AS feature, `DT_node_data_10`.threshold AS threshold, `DT_node_data_10`.count AS count, `DT_node_data_10`.depth AS depth, `DT_node_data_10`.parent_id AS parent_id, `DT_node_data_10`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_10` LEFT OUTER JOIN `DT_node_data_10` ON `DT_node_lookup_10`.node_id_2 = `DT_node_data_10`.node_id), 
`GB_Tree_3_1` AS 
(SELECT `DT_Output_10`.`KEY` AS `KEY`, 0.0 AS `Score_0`, `DT_Output_10`.`Estimator` AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_10`), 
`DT_node_lookup_11` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.850000381469727) THEN CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN CASE WHEN (`ADS`.`Feature_2` <= 2.450000047683716) THEN 3 ELSE 4 END ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.0999999046325684) THEN 6 ELSE 7 END END ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.75) THEN CASE WHEN (`ADS`.`Feature_2` <= 4.949999809265137) THEN 10 ELSE 11 END ELSE CASE WHEN (`ADS`.`Feature_2` <= 4.949999809265137) THEN 13 ELSE 14 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_11` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 3 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 3 AS depth, 2 AS parent_id, -0.8677596583846369 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 36 AS count, 3 AS depth, 2 AS parent_id, -0.8702520571921921 AS `Estimator` UNION ALL SELECT 6 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 5 AS parent_id, 1.2738797843596144 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 5 AS parent_id, -0.9992287133142812 AS `Estimator` UNION ALL SELECT 10 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 9 AS parent_id, -0.9004651271866758 AS `Estimator` UNION ALL SELECT 11 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 5 AS count, 3 AS depth, 9 AS parent_id, 0.9076946773939899 AS `Estimator` UNION ALL SELECT 13 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 12 AS parent_id, 1.2738797843596144 AS `Estimator` UNION ALL SELECT 14 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 34 AS count, 3 AS depth, 12 AS parent_id, 1.218036107501874 AS `Estimator`) AS `Values`), 
`DT_Output_11` AS 
(SELECT `DT_node_lookup_11`.`KEY` AS `KEY`, `DT_node_lookup_11`.node_id_2 AS node_id_2, `DT_node_data_11`.node_id AS node_id, `DT_node_data_11`.feature AS feature, `DT_node_data_11`.threshold AS threshold, `DT_node_data_11`.count AS count, `DT_node_data_11`.depth AS depth, `DT_node_data_11`.parent_id AS parent_id, `DT_node_data_11`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_11` LEFT OUTER JOIN `DT_node_data_11` ON `DT_node_lookup_11`.node_id_2 = `DT_node_data_11`.node_id), 
`GB_Tree_3_2` AS 
(SELECT `DT_Output_11`.`KEY` AS `KEY`, 0.0 AS `Score_0`, 0.0 AS `Score_1`, `DT_Output_11`.`Estimator` AS `Score_2` 
FROM `DT_Output_11`), 
`DT_node_lookup_12` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 1 ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.1500000953674316) THEN CASE WHEN (`ADS`.`Feature_1` <= 2.25) THEN 4 ELSE 5 END ELSE CASE WHEN (`ADS`.`Feature_0` <= 5.949999809265137) THEN 7 ELSE 8 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_12` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 1 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 1 AS depth, 0 AS parent_id, 1.1682170891651253 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 3 AS parent_id, -0.8568568303033047 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 63 AS count, 3 AS depth, 3 AS parent_id, -0.841538114529384 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 6 AS parent_id, -0.957779427278138 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 16 AS count, 3 AS depth, 6 AS parent_id, -0.8427043123821039 AS `Estimator`) AS `Values`), 
`DT_Output_12` AS 
(SELECT `DT_node_lookup_12`.`KEY` AS `KEY`, `DT_node_lookup_12`.node_id_2 AS node_id_2, `DT_node_data_12`.node_id AS node_id, `DT_node_data_12`.feature AS feature, `DT_node_data_12`.threshold AS threshold, `DT_node_data_12`.count AS count, `DT_node_data_12`.depth AS depth, `DT_node_data_12`.parent_id AS parent_id, `DT_node_data_12`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_12` LEFT OUTER JOIN `DT_node_data_12` ON `DT_node_lookup_12`.node_id_2 = `DT_node_data_12`.node_id), 
`GB_Tree_4_0` AS 
(SELECT `DT_Output_12`.`KEY` AS `KEY`, `DT_Output_12`.`Estimator` AS `Score_0`, 0.0 AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_12`), 
`DT_node_lookup_13` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.949999809265137) THEN CASE WHEN (`ADS`.`Feature_2` <= 2.450000047683716) THEN 2 ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN 4 ELSE 5 END END ELSE CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN CASE WHEN (`ADS`.`Feature_0` <= 6.5) THEN 8 ELSE 9 END ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.7000000476837158) THEN 11 ELSE 12 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_13` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 2 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 2 AS depth, 1 AS parent_id, -0.8319122725221108 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 38 AS count, 3 AS depth, 3 AS parent_id, 1.1456958590693818 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 6 AS count, 3 AS depth, 3 AS parent_id, -0.369183151080564 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 7 AS parent_id, -0.9074621560304051 AS `Estimator` UNION ALL SELECT 9 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 7 AS parent_id, 1.4142057935722827 AS `Estimator` UNION ALL SELECT 11 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 10 AS parent_id, -0.860564600749682 AS `Estimator` UNION ALL SELECT 12 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 32 AS count, 3 AS depth, 10 AS parent_id, -0.8510565382389912 AS `Estimator`) AS `Values`), 
`DT_Output_13` AS 
(SELECT `DT_node_lookup_13`.`KEY` AS `KEY`, `DT_node_lookup_13`.node_id_2 AS node_id_2, `DT_node_data_13`.node_id AS node_id, `DT_node_data_13`.feature AS feature, `DT_node_data_13`.threshold AS threshold, `DT_node_data_13`.count AS count, `DT_node_data_13`.depth AS depth, `DT_node_data_13`.parent_id AS parent_id, `DT_node_data_13`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_13` LEFT OUTER JOIN `DT_node_data_13` ON `DT_node_lookup_13`.node_id_2 = `DT_node_data_13`.node_id), 
`GB_Tree_4_1` AS 
(SELECT `DT_Output_13`.`KEY` AS `KEY`, 0.0 AS `Score_0`, `DT_Output_13`.`Estimator` AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_13`), 
`DT_node_lookup_14` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.850000381469727) THEN CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 3 ELSE 4 END ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.0999999046325684) THEN 6 ELSE 7 END END ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.75) THEN CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN 10 ELSE 11 END ELSE CASE WHEN (`ADS`.`Feature_2` <= 4.949999809265137) THEN 13 ELSE 14 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_14` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 3 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 3 AS depth, 2 AS parent_id, -0.8392085196289492 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 36 AS count, 3 AS depth, 2 AS parent_id, -0.8414826829951031 AS `Estimator` UNION ALL SELECT 6 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 5 AS parent_id, 1.1713274700796759 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 5 AS parent_id, -0.9869998717742923 AS `Estimator` UNION ALL SELECT 10 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 4 AS count, 3 AS depth, 9 AS parent_id, -0.20183519190503857 AS `Estimator` UNION ALL SELECT 11 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 9 AS parent_id, 1.1461954018986922 AS `Estimator` UNION ALL SELECT 13 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 12 AS parent_id, 1.171327470079676 AS `Estimator` UNION ALL SELECT 14 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 34 AS count, 3 AS depth, 12 AS parent_id, 1.1151060092588951 AS `Estimator`) AS `Values`), 
`DT_Output_14` AS 
(SELECT `DT_node_lookup_14`.`KEY` AS `KEY`, `DT_node_lookup_14`.node_id_2 AS node_id_2, `DT_node_data_14`.node_id AS node_id, `DT_node_data_14`.feature AS feature, `DT_node_data_14`.threshold AS threshold, `DT_node_data_14`.count AS count, `DT_node_data_14`.depth AS depth, `DT_node_data_14`.parent_id AS parent_id, `DT_node_data_14`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_14` LEFT OUTER JOIN `DT_node_data_14` ON `DT_node_lookup_14`.node_id_2 = `DT_node_data_14`.node_id), 
`GB_Tree_4_2` AS 
(SELECT `DT_Output_14`.`KEY` AS `KEY`, 0.0 AS `Score_0`, 0.0 AS `Score_1`, `DT_Output_14`.`Estimator` AS `Score_2` 
FROM `DT_Output_14`), 
`DT_node_lookup_15` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 1 ELSE CASE WHEN (`ADS`.`Feature_1` <= 2.25) THEN CASE WHEN (`ADS`.`Feature_2` <= 4.75) THEN 4 ELSE 5 END ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.1500000953674316) THEN 7 ELSE 8 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_15` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 1 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 1 AS depth, 0 AS parent_id, 1.0771449772055441 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 3 AS parent_id, -0.8174995737437679 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 3 AS parent_id, -0.8758631133732593 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 63 AS count, 3 AS depth, 6 AS parent_id, -0.8174726809194767 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 17 AS count, 3 AS depth, 6 AS parent_id, -0.829002025051646 AS `Estimator`) AS `Values`), 
`DT_Output_15` AS 
(SELECT `DT_node_lookup_15`.`KEY` AS `KEY`, `DT_node_lookup_15`.node_id_2 AS node_id_2, `DT_node_data_15`.node_id AS node_id, `DT_node_data_15`.feature AS feature, `DT_node_data_15`.threshold AS threshold, `DT_node_data_15`.count AS count, `DT_node_data_15`.depth AS depth, `DT_node_data_15`.parent_id AS parent_id, `DT_node_data_15`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_15` LEFT OUTER JOIN `DT_node_data_15` ON `DT_node_lookup_15`.node_id_2 = `DT_node_data_15`.node_id), 
`GB_Tree_5_0` AS 
(SELECT `DT_Output_15`.`KEY` AS `KEY`, `DT_Output_15`.`Estimator` AS `Score_0`, 0.0 AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_15`), 
`DT_node_lookup_16` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.949999809265137) THEN CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 2 ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN 4 ELSE 5 END END ELSE CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN CASE WHEN (`ADS`.`Feature_0` <= 6.5) THEN 8 ELSE 9 END ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.7000000476837158) THEN 11 ELSE 12 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_16` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 2 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 2 AS depth, 1 AS parent_id, -0.8094829566123153 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 38 AS count, 3 AS depth, 3 AS parent_id, 1.060656405302906 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 6 AS count, 3 AS depth, 3 AS parent_id, -0.3342389856128489 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 7 AS parent_id, -0.8865784321792602 AS `Estimator` UNION ALL SELECT 9 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 7 AS parent_id, 1.2897115710705305 AS `Estimator` UNION ALL SELECT 11 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 10 AS parent_id, -0.8331189433006779 AS `Estimator` UNION ALL SELECT 12 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 32 AS count, 3 AS depth, 10 AS parent_id, -0.8251140052546859 AS `Estimator`) AS `Values`), 
`DT_Output_16` AS 
(SELECT `DT_node_lookup_16`.`KEY` AS `KEY`, `DT_node_lookup_16`.node_id_2 AS node_id_2, `DT_node_data_16`.node_id AS node_id, `DT_node_data_16`.feature AS feature, `DT_node_data_16`.threshold AS threshold, `DT_node_data_16`.count AS count, `DT_node_data_16`.depth AS depth, `DT_node_data_16`.parent_id AS parent_id, `DT_node_data_16`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_16` LEFT OUTER JOIN `DT_node_data_16` ON `DT_node_lookup_16`.node_id_2 = `DT_node_data_16`.node_id), 
`GB_Tree_5_1` AS 
(SELECT `DT_Output_16`.`KEY` AS `KEY`, 0.0 AS `Score_0`, `DT_Output_16`.`Estimator` AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_16`), 
`DT_node_lookup_17` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.850000381469727) THEN CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN CASE WHEN (`ADS`.`Feature_2` <= 2.450000047683716) THEN 3 ELSE 4 END ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.0999999046325684) THEN 6 ELSE 7 END END ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.75) THEN CASE WHEN (`ADS`.`Feature_2` <= 4.949999809265137) THEN 10 ELSE 11 END ELSE CASE WHEN (`ADS`.`Feature_2` <= 4.949999809265137) THEN 13 ELSE 14 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_17` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 3 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 3 AS depth, 2 AS parent_id, -0.8150844493164876 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 36 AS count, 3 AS depth, 2 AS parent_id, -0.8171167227969316 AS `Estimator` UNION ALL SELECT 6 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 5 AS parent_id, 1.0919403577596778 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 5 AS parent_id, -0.973068709302815 AS `Estimator` UNION ALL SELECT 10 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 9 AS parent_id, -0.8502956573324025 AS `Estimator` UNION ALL SELECT 11 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 5 AS count, 3 AS depth, 9 AS parent_id, 0.7642629630583307 AS `Estimator` UNION ALL SELECT 13 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 12 AS parent_id, 1.0919403577596778 AS `Estimator` UNION ALL SELECT 14 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 34 AS count, 3 AS depth, 12 AS parent_id, 1.0360145459442005 AS `Estimator`) AS `Values`), 
`DT_Output_17` AS 
(SELECT `DT_node_lookup_17`.`KEY` AS `KEY`, `DT_node_lookup_17`.node_id_2 AS node_id_2, `DT_node_data_17`.node_id AS node_id, `DT_node_data_17`.feature AS feature, `DT_node_data_17`.threshold AS threshold, `DT_node_data_17`.count AS count, `DT_node_data_17`.depth AS depth, `DT_node_data_17`.parent_id AS parent_id, `DT_node_data_17`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_17` LEFT OUTER JOIN `DT_node_data_17` ON `DT_node_lookup_17`.node_id_2 = `DT_node_data_17`.node_id), 
`GB_Tree_5_2` AS 
(SELECT `DT_Output_17`.`KEY` AS `KEY`, 0.0 AS `Score_0`, 0.0 AS `Score_1`, `DT_Output_17`.`Estimator` AS `Score_2` 
FROM `DT_Output_17`), 
`DT_node_lookup_18` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 2.450000047683716) THEN 1 ELSE CASE WHEN (`ADS`.`Feature_1` <= 2.25) THEN CASE WHEN (`ADS`.`Feature_2` <= 4.75) THEN 4 ELSE 5 END ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.1500000953674316) THEN 7 ELSE 8 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_18` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 1 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 1 AS depth, 0 AS parent_id, 1.0064736548845892 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 3 AS parent_id, -0.7969888509552636 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 3 AS parent_id, -0.8557028030223867 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 63 AS count, 3 AS depth, 6 AS parent_id, -0.7971128333069757 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 17 AS count, 3 AS depth, 6 AS parent_id, -0.8103827027522187 AS `Estimator`) AS `Values`), 
`DT_Output_18` AS 
(SELECT `DT_node_lookup_18`.`KEY` AS `KEY`, `DT_node_lookup_18`.node_id_2 AS node_id_2, `DT_node_data_18`.node_id AS node_id, `DT_node_data_18`.feature AS feature, `DT_node_data_18`.threshold AS threshold, `DT_node_data_18`.count AS count, `DT_node_data_18`.depth AS depth, `DT_node_data_18`.parent_id AS parent_id, `DT_node_data_18`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_18` LEFT OUTER JOIN `DT_node_data_18` ON `DT_node_lookup_18`.node_id_2 = `DT_node_data_18`.node_id), 
`GB_Tree_6_0` AS 
(SELECT `DT_Output_18`.`KEY` AS `KEY`, `DT_Output_18`.`Estimator` AS `Score_0`, 0.0 AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_18`), 
`DT_node_lookup_19` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 2 ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.75) THEN 4 ELSE 5 END END ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.7000000476837158) THEN 7 ELSE 8 END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_19` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 2 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 2 AS depth, 1 AS parent_id, -0.7902546121437971 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 41 AS count, 3 AS depth, 3 AS parent_id, 0.9219797634777654 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 7 AS count, 3 AS depth, 3 AS parent_id, -0.3476446199258069 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 2 AS depth, 6 AS parent_id, -0.8133560273284788 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 32 AS count, 2 AS depth, 6 AS parent_id, -0.8031399371479236 AS `Estimator`) AS `Values`), 
`DT_Output_19` AS 
(SELECT `DT_node_lookup_19`.`KEY` AS `KEY`, `DT_node_lookup_19`.node_id_2 AS node_id_2, `DT_node_data_19`.node_id AS node_id, `DT_node_data_19`.feature AS feature, `DT_node_data_19`.threshold AS threshold, `DT_node_data_19`.count AS count, `DT_node_data_19`.depth AS depth, `DT_node_data_19`.parent_id AS parent_id, `DT_node_data_19`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_19` LEFT OUTER JOIN `DT_node_data_19` ON `DT_node_lookup_19`.node_id_2 = `DT_node_data_19`.node_id), 
`GB_Tree_6_1` AS 
(SELECT `DT_Output_19`.`KEY` AS `KEY`, 0.0 AS `Score_0`, `DT_Output_19`.`Estimator` AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_19`), 
`DT_node_lookup_20` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.850000381469727) THEN CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 3 ELSE 4 END ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.0999999046325684) THEN 6 ELSE 7 END END ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.75) THEN CASE WHEN (`ADS`.`Feature_2` <= 4.949999809265137) THEN 10 ELSE 11 END ELSE CASE WHEN (`ADS`.`Feature_2` <= 4.949999809265137) THEN 13 ELSE 14 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_20` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 3 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 3 AS depth, 2 AS parent_id, -0.7946127550667066 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 36 AS count, 3 AS depth, 2 AS parent_id, -0.7971844132792698 AS `Estimator` UNION ALL SELECT 6 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 5 AS parent_id, 1.0427220820372787 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 5 AS parent_id, -0.9599922723167261 AS `Estimator` UNION ALL SELECT 10 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 9 AS parent_id, -0.8254377242190534 AS `Estimator` UNION ALL SELECT 11 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 5 AS count, 3 AS depth, 9 AS parent_id, 0.7100147388501491 AS `Estimator` UNION ALL SELECT 13 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 12 AS parent_id, 1.0281180193923072 AS `Estimator` UNION ALL SELECT 14 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 34 AS count, 3 AS depth, 12 AS parent_id, 0.9744415617974678 AS `Estimator`) AS `Values`), 
`DT_Output_20` AS 
(SELECT `DT_node_lookup_20`.`KEY` AS `KEY`, `DT_node_lookup_20`.node_id_2 AS node_id_2, `DT_node_data_20`.node_id AS node_id, `DT_node_data_20`.feature AS feature, `DT_node_data_20`.threshold AS threshold, `DT_node_data_20`.count AS count, `DT_node_data_20`.depth AS depth, `DT_node_data_20`.parent_id AS parent_id, `DT_node_data_20`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_20` LEFT OUTER JOIN `DT_node_data_20` ON `DT_node_lookup_20`.node_id_2 = `DT_node_data_20`.node_id), 
`GB_Tree_6_2` AS 
(SELECT `DT_Output_20`.`KEY` AS `KEY`, 0.0 AS `Score_0`, 0.0 AS `Score_1`, `DT_Output_20`.`Estimator` AS `Score_2` 
FROM `DT_Output_20`), 
`DT_node_lookup_21` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 1 ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.1500000953674316) THEN CASE WHEN (`ADS`.`Feature_1` <= 2.25) THEN 4 ELSE 5 END ELSE CASE WHEN (`ADS`.`Feature_0` <= 5.949999809265137) THEN 7 ELSE 8 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_21` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 1 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 1 AS depth, 0 AS parent_id, 0.9505278110647688 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 3 AS parent_id, -0.7982330777026064 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 63 AS count, 3 AS depth, 3 AS parent_id, -0.7799717039253946 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 6 AS parent_id, -0.936641690639082 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 16 AS count, 3 AS depth, 6 AS parent_id, -0.7803503410714564 AS `Estimator`) AS `Values`), 
`DT_Output_21` AS 
(SELECT `DT_node_lookup_21`.`KEY` AS `KEY`, `DT_node_lookup_21`.node_id_2 AS node_id_2, `DT_node_data_21`.node_id AS node_id, `DT_node_data_21`.feature AS feature, `DT_node_data_21`.threshold AS threshold, `DT_node_data_21`.count AS count, `DT_node_data_21`.depth AS depth, `DT_node_data_21`.parent_id AS parent_id, `DT_node_data_21`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_21` LEFT OUTER JOIN `DT_node_data_21` ON `DT_node_lookup_21`.node_id_2 = `DT_node_data_21`.node_id), 
`GB_Tree_7_0` AS 
(SELECT `DT_Output_21`.`KEY` AS `KEY`, `DT_Output_21`.`Estimator` AS `Score_0`, 0.0 AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_21`), 
`DT_node_lookup_22` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.949999809265137) THEN CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 2 ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN 4 ELSE 5 END END ELSE CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN CASE WHEN (`ADS`.`Feature_0` <= 6.5) THEN 8 ELSE 9 END ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.7000000476837158) THEN 11 ELSE 12 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_22` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 2 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 2 AS depth, 1 AS parent_id, -0.7737429409910623 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 38 AS count, 3 AS depth, 3 AS parent_id, 0.9420415115672135 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 6 AS count, 3 AS depth, 3 AS parent_id, -0.2790283210671829 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 7 AS parent_id, -0.8631689313041749 AS `Estimator` UNION ALL SELECT 9 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 7 AS parent_id, 1.1956204979177343 AS `Estimator` UNION ALL SELECT 11 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 10 AS parent_id, -0.796227493812888 AS `Estimator` UNION ALL SELECT 12 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 32 AS count, 3 AS depth, 10 AS parent_id, -0.784437154682558 AS `Estimator`) AS `Values`), 
`DT_Output_22` AS 
(SELECT `DT_node_lookup_22`.`KEY` AS `KEY`, `DT_node_lookup_22`.node_id_2 AS node_id_2, `DT_node_data_22`.node_id AS node_id, `DT_node_data_22`.feature AS feature, `DT_node_data_22`.threshold AS threshold, `DT_node_data_22`.count AS count, `DT_node_data_22`.depth AS depth, `DT_node_data_22`.parent_id AS parent_id, `DT_node_data_22`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_22` LEFT OUTER JOIN `DT_node_data_22` ON `DT_node_lookup_22`.node_id_2 = `DT_node_data_22`.node_id), 
`GB_Tree_7_1` AS 
(SELECT `DT_Output_22`.`KEY` AS `KEY`, 0.0 AS `Score_0`, `DT_Output_22`.`Estimator` AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_22`), 
`DT_node_lookup_23` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.850000381469727) THEN CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN CASE WHEN (`ADS`.`Feature_2` <= 2.450000047683716) THEN 3 ELSE 4 END ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.0999999046325684) THEN 6 ELSE 7 END END ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.75) THEN CASE WHEN (`ADS`.`Feature_0` <= 6.199999809265137) THEN 10 ELSE 11 END ELSE CASE WHEN (`ADS`.`Feature_2` <= 4.949999809265137) THEN 13 ELSE 14 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_23` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 3 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 3 AS depth, 2 AS parent_id, -0.7771749825124291 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 36 AS count, 3 AS depth, 2 AS parent_id, -0.7794189832828112 AS `Estimator` UNION ALL SELECT 6 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 5 AS parent_id, 0.9898629782794494 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 5 AS parent_id, -0.9479043452503605 AS `Estimator` UNION ALL SELECT 10 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 9 AS parent_id, 1.1162721923959116 AS `Estimator` UNION ALL SELECT 11 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 5 AS count, 3 AS depth, 9 AS parent_id, -0.028192483537145596 AS `Estimator` UNION ALL SELECT 13 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 12 AS parent_id, 0.9774840901110664 AS `Estimator` UNION ALL SELECT 14 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 34 AS count, 3 AS depth, 12 AS parent_id, 0.9247910692385357 AS `Estimator`) AS `Values`), 
`DT_Output_23` AS 
(SELECT `DT_node_lookup_23`.`KEY` AS `KEY`, `DT_node_lookup_23`.node_id_2 AS node_id_2, `DT_node_data_23`.node_id AS node_id, `DT_node_data_23`.feature AS feature, `DT_node_data_23`.threshold AS threshold, `DT_node_data_23`.count AS count, `DT_node_data_23`.depth AS depth, `DT_node_data_23`.parent_id AS parent_id, `DT_node_data_23`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_23` LEFT OUTER JOIN `DT_node_data_23` ON `DT_node_lookup_23`.node_id_2 = `DT_node_data_23`.node_id), 
`GB_Tree_7_2` AS 
(SELECT `DT_Output_23`.`KEY` AS `KEY`, 0.0 AS `Score_0`, 0.0 AS `Score_1`, `DT_Output_23`.`Estimator` AS `Score_2` 
FROM `DT_Output_23`), 
`DT_node_lookup_24` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 2.450000047683716) THEN 1 ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.1500000953674316) THEN CASE WHEN (`ADS`.`Feature_1` <= 2.25) THEN 4 ELSE 5 END ELSE CASE WHEN (`ADS`.`Feature_0` <= 5.949999809265137) THEN 7 ELSE 8 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_24` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 1 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 1 AS depth, 0 AS parent_id, 0.9055284540859695 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 3 AS parent_id, -0.7819027546909239 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 63 AS count, 3 AS depth, 3 AS parent_id, -0.7651413517410722 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 6 AS parent_id, -0.926195891479446 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 16 AS count, 3 AS depth, 6 AS parent_id, -0.7652043586377242 AS `Estimator`) AS `Values`), 
`DT_Output_24` AS 
(SELECT `DT_node_lookup_24`.`KEY` AS `KEY`, `DT_node_lookup_24`.node_id_2 AS node_id_2, `DT_node_data_24`.node_id AS node_id, `DT_node_data_24`.feature AS feature, `DT_node_data_24`.threshold AS threshold, `DT_node_data_24`.count AS count, `DT_node_data_24`.depth AS depth, `DT_node_data_24`.parent_id AS parent_id, `DT_node_data_24`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_24` LEFT OUTER JOIN `DT_node_data_24` ON `DT_node_lookup_24`.node_id_2 = `DT_node_data_24`.node_id), 
`GB_Tree_8_0` AS 
(SELECT `DT_Output_24`.`KEY` AS `KEY`, `DT_Output_24`.`Estimator` AS `Score_0`, 0.0 AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_24`), 
`DT_node_lookup_25` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.949999809265137) THEN CASE WHEN (`ADS`.`Feature_2` <= 2.450000047683716) THEN 2 ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN 4 ELSE 5 END END ELSE CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN CASE WHEN (`ADS`.`Feature_1` <= 2.75) THEN 8 ELSE 9 END ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.7000000476837158) THEN 11 ELSE 12 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_25` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 2 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 2 AS depth, 1 AS parent_id, -0.7595398926628977 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 38 AS count, 3 AS depth, 3 AS parent_id, 0.8993257476140675 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 6 AS count, 3 AS depth, 3 AS parent_id, -0.25065923519617433 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 7 AS parent_id, -0.8367074980292434 AS `Estimator` UNION ALL SELECT 9 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 7 AS parent_id, 1.1259172329225962 AS `Estimator` UNION ALL SELECT 11 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 10 AS parent_id, -0.7846355263737625 AS `Estimator` UNION ALL SELECT 12 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 32 AS count, 3 AS depth, 10 AS parent_id, -0.7684788204129913 AS `Estimator`) AS `Values`), 
`DT_Output_25` AS 
(SELECT `DT_node_lookup_25`.`KEY` AS `KEY`, `DT_node_lookup_25`.node_id_2 AS node_id_2, `DT_node_data_25`.node_id AS node_id, `DT_node_data_25`.feature AS feature, `DT_node_data_25`.threshold AS threshold, `DT_node_data_25`.count AS count, `DT_node_data_25`.depth AS depth, `DT_node_data_25`.parent_id AS parent_id, `DT_node_data_25`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_25` LEFT OUTER JOIN `DT_node_data_25` ON `DT_node_lookup_25`.node_id_2 = `DT_node_data_25`.node_id), 
`GB_Tree_8_1` AS 
(SELECT `DT_Output_25`.`KEY` AS `KEY`, 0.0 AS `Score_0`, `DT_Output_25`.`Estimator` AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_25`), 
`DT_node_lookup_26` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.850000381469727) THEN CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 3 ELSE 4 END ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.0999999046325684) THEN 6 ELSE 7 END END ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.75) THEN CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN 10 ELSE 11 END ELSE CASE WHEN (`ADS`.`Feature_2` <= 4.949999809265137) THEN 13 ELSE 14 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_26` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 3 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 3 AS depth, 2 AS parent_id, -0.7622724390464406 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 36 AS count, 3 AS depth, 2 AS parent_id, -0.7642220515825694 AS `Estimator` UNION ALL SELECT 6 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 5 AS parent_id, 0.9467242922126594 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 5 AS parent_id, -0.9357790893990674 AS `Estimator` UNION ALL SELECT 10 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 4 AS count, 3 AS depth, 9 AS parent_id, -0.1739929095857468 AS `Estimator` UNION ALL SELECT 11 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 9 AS parent_id, 0.9261676461107543 AS `Estimator` UNION ALL SELECT 13 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 12 AS parent_id, 0.936084499219053 AS `Estimator` UNION ALL SELECT 14 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 34 AS count, 3 AS depth, 12 AS parent_id, 0.8845716503057218 AS `Estimator`) AS `Values`), 
`DT_Output_26` AS 
(SELECT `DT_node_lookup_26`.`KEY` AS `KEY`, `DT_node_lookup_26`.node_id_2 AS node_id_2, `DT_node_data_26`.node_id AS node_id, `DT_node_data_26`.feature AS feature, `DT_node_data_26`.threshold AS threshold, `DT_node_data_26`.count AS count, `DT_node_data_26`.depth AS depth, `DT_node_data_26`.parent_id AS parent_id, `DT_node_data_26`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_26` LEFT OUTER JOIN `DT_node_data_26` ON `DT_node_lookup_26`.node_id_2 = `DT_node_data_26`.node_id), 
`GB_Tree_8_2` AS 
(SELECT `DT_Output_26`.`KEY` AS `KEY`, 0.0 AS `Score_0`, 0.0 AS `Score_1`, `DT_Output_26`.`Estimator` AS `Score_2` 
FROM `DT_Output_26`), 
`DT_node_lookup_27` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 1 ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.1500000953674316) THEN CASE WHEN (`ADS`.`Feature_1` <= 2.25) THEN 4 ELSE 5 END ELSE CASE WHEN (`ADS`.`Feature_0` <= 5.949999809265137) THEN 7 ELSE 8 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_27` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 1 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 1 AS depth, 0 AS parent_id, 0.8688632713931261 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 3 AS parent_id, -0.7727527718899132 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 63 AS count, 3 AS depth, 3 AS parent_id, -0.7520769255737271 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 6 AS parent_id, -0.9155930999751982 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 16 AS count, 3 AS depth, 6 AS parent_id, -0.7521683085617519 AS `Estimator`) AS `Values`), 
`DT_Output_27` AS 
(SELECT `DT_node_lookup_27`.`KEY` AS `KEY`, `DT_node_lookup_27`.node_id_2 AS node_id_2, `DT_node_data_27`.node_id AS node_id, `DT_node_data_27`.feature AS feature, `DT_node_data_27`.threshold AS threshold, `DT_node_data_27`.count AS count, `DT_node_data_27`.depth AS depth, `DT_node_data_27`.parent_id AS parent_id, `DT_node_data_27`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_27` LEFT OUTER JOIN `DT_node_data_27` ON `DT_node_lookup_27`.node_id_2 = `DT_node_data_27`.node_id), 
`GB_Tree_9_0` AS 
(SELECT `DT_Output_27`.`KEY` AS `KEY`, `DT_Output_27`.`Estimator` AS `Score_0`, 0.0 AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_27`), 
`DT_node_lookup_28` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.949999809265137) THEN CASE WHEN (`ADS`.`Feature_2` <= 2.450000047683716) THEN 2 ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN 4 ELSE 5 END END ELSE CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN CASE WHEN (`ADS`.`Feature_0` <= 6.5) THEN 8 ELSE 9 END ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.7000000476837158) THEN 11 ELSE 12 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_28` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 2 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 2 AS depth, 1 AS parent_id, -0.7473022119220643 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 38 AS count, 3 AS depth, 3 AS parent_id, 0.8642926442077355 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 6 AS count, 3 AS depth, 3 AS parent_id, -0.22430197592209486 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 7 AS parent_id, -0.8253940921509826 AS `Estimator` UNION ALL SELECT 9 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 7 AS parent_id, 1.0642778674573692 AS `Estimator` UNION ALL SELECT 11 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 10 AS parent_id, -0.7686605602364429 AS `Estimator` UNION ALL SELECT 12 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 32 AS count, 3 AS depth, 10 AS parent_id, -0.7548194790801755 AS `Estimator`) AS `Values`), 
`DT_Output_28` AS 
(SELECT `DT_node_lookup_28`.`KEY` AS `KEY`, `DT_node_lookup_28`.node_id_2 AS node_id_2, `DT_node_data_28`.node_id AS node_id, `DT_node_data_28`.feature AS feature, `DT_node_data_28`.threshold AS threshold, `DT_node_data_28`.count AS count, `DT_node_data_28`.depth AS depth, `DT_node_data_28`.parent_id AS parent_id, `DT_node_data_28`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_28` LEFT OUTER JOIN `DT_node_data_28` ON `DT_node_lookup_28`.node_id_2 = `DT_node_data_28`.node_id), 
`GB_Tree_9_1` AS 
(SELECT `DT_Output_28`.`KEY` AS `KEY`, 0.0 AS `Score_0`, `DT_Output_28`.`Estimator` AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_28`), 
`DT_node_lookup_29` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.850000381469727) THEN CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 3 ELSE 4 END ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.0999999046325684) THEN 6 ELSE 7 END END ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.75) THEN CASE WHEN (`ADS`.`Feature_0` <= 6.199999809265137) THEN 10 ELSE 11 END ELSE CASE WHEN (`ADS`.`Feature_2` <= 4.949999809265137) THEN 13 ELSE 14 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_29` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 3 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 3 AS depth, 2 AS parent_id, -0.7494995687189026 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 36 AS count, 3 AS depth, 2 AS parent_id, -0.7511891502687557 AS `Estimator` UNION ALL SELECT 6 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 5 AS parent_id, 0.9110699570820656 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 5 AS parent_id, -0.923680581473521 AS `Estimator` UNION ALL SELECT 10 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 9 AS parent_id, 1.0129958006255435 AS `Estimator` UNION ALL SELECT 11 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 5 AS count, 3 AS depth, 9 AS parent_id, -0.045436276893269956 AS `Estimator` UNION ALL SELECT 13 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 12 AS parent_id, 0.901817707123748 AS `Estimator` UNION ALL SELECT 14 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 34 AS count, 3 AS depth, 12 AS parent_id, 0.8516057376341652 AS `Estimator`) AS `Values`), 
`DT_Output_29` AS 
(SELECT `DT_node_lookup_29`.`KEY` AS `KEY`, `DT_node_lookup_29`.node_id_2 AS node_id_2, `DT_node_data_29`.node_id AS node_id, `DT_node_data_29`.feature AS feature, `DT_node_data_29`.threshold AS threshold, `DT_node_data_29`.count AS count, `DT_node_data_29`.depth AS depth, `DT_node_data_29`.parent_id AS parent_id, `DT_node_data_29`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_29` LEFT OUTER JOIN `DT_node_data_29` ON `DT_node_lookup_29`.node_id_2 = `DT_node_data_29`.node_id), 
`GB_Tree_9_2` AS 
(SELECT `DT_Output_29`.`KEY` AS `KEY`, 0.0 AS `Score_0`, 0.0 AS `Score_1`, `DT_Output_29`.`Estimator` AS `Score_2` 
FROM `DT_Output_29`), 
`DT_node_lookup_30` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 2.450000047683716) THEN 1 ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.1500000953674316) THEN CASE WHEN (`ADS`.`Feature_1` <= 2.25) THEN 4 ELSE 5 END ELSE CASE WHEN (`ADS`.`Feature_0` <= 5.949999809265137) THEN 7 ELSE 8 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_30` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 1 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 1 AS depth, 0 AS parent_id, 0.8386698900949192 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 3 AS parent_id, -0.7597609683336792 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 63 AS count, 3 AS depth, 3 AS parent_id, -0.7411291045778163 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 6 AS parent_id, -0.9049071750315172 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 16 AS count, 3 AS depth, 6 AS parent_id, -0.7409294610695646 AS `Estimator`) AS `Values`), 
`DT_Output_30` AS 
(SELECT `DT_node_lookup_30`.`KEY` AS `KEY`, `DT_node_lookup_30`.node_id_2 AS node_id_2, `DT_node_data_30`.node_id AS node_id, `DT_node_data_30`.feature AS feature, `DT_node_data_30`.threshold AS threshold, `DT_node_data_30`.count AS count, `DT_node_data_30`.depth AS depth, `DT_node_data_30`.parent_id AS parent_id, `DT_node_data_30`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_30` LEFT OUTER JOIN `DT_node_data_30` ON `DT_node_lookup_30`.node_id_2 = `DT_node_data_30`.node_id), 
`GB_Tree_10_0` AS 
(SELECT `DT_Output_30`.`KEY` AS `KEY`, `DT_Output_30`.`Estimator` AS `Score_0`, 0.0 AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_30`), 
`DT_node_lookup_31` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 2 ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.75) THEN 4 ELSE 5 END END ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.7000000476837158) THEN CASE WHEN (`ADS`.`Feature_0` <= 6.199999809265137) THEN 8 ELSE 9 END ELSE 10 END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_31` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 2 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 2 AS depth, 1 AS parent_id, -0.7367411077066318 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 41 AS count, 3 AS depth, 3 AS parent_id, 0.7614993006303583 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 7 AS count, 3 AS depth, 3 AS parent_id, -0.22202456210669128 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 7 AS parent_id, -0.7480995529981312 AS `Estimator` UNION ALL SELECT 9 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 7 AS parent_id, -0.7654226886384814 AS `Estimator` UNION ALL SELECT 10 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 32 AS count, 2 AS depth, 6 AS parent_id, -0.743096218606031 AS `Estimator`) AS `Values`), 
`DT_Output_31` AS 
(SELECT `DT_node_lookup_31`.`KEY` AS `KEY`, `DT_node_lookup_31`.node_id_2 AS node_id_2, `DT_node_data_31`.node_id AS node_id, `DT_node_data_31`.feature AS feature, `DT_node_data_31`.threshold AS threshold, `DT_node_data_31`.count AS count, `DT_node_data_31`.depth AS depth, `DT_node_data_31`.parent_id AS parent_id, `DT_node_data_31`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_31` LEFT OUTER JOIN `DT_node_data_31` ON `DT_node_lookup_31`.node_id_2 = `DT_node_data_31`.node_id), 
`GB_Tree_10_1` AS 
(SELECT `DT_Output_31`.`KEY` AS `KEY`, 0.0 AS `Score_0`, `DT_Output_31`.`Estimator` AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_31`), 
`DT_node_lookup_32` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.850000381469727) THEN CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN CASE WHEN (`ADS`.`Feature_2` <= 2.450000047683716) THEN 3 ELSE 4 END ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.0999999046325684) THEN 6 ELSE 7 END END ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.75) THEN CASE WHEN (`ADS`.`Feature_2` <= 4.949999809265137) THEN 10 ELSE 11 END ELSE CASE WHEN (`ADS`.`Feature_2` <= 4.949999809265137) THEN 13 ELSE 14 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_32` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 3 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 3 AS depth, 2 AS parent_id, -0.7385240771362017 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 36 AS count, 3 AS depth, 2 AS parent_id, -0.7404762171904316 AS `Estimator` UNION ALL SELECT 6 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 5 AS parent_id, 0.8890976874992781 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 5 AS parent_id, -0.912028025056246 AS `Estimator` UNION ALL SELECT 10 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 9 AS parent_id, -0.7765412472540477 AS `Estimator` UNION ALL SELECT 11 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 5 AS count, 3 AS depth, 9 AS parent_id, 0.5709374843390504 AS `Estimator` UNION ALL SELECT 13 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 12 AS parent_id, 0.8728592891147278 AS `Estimator` UNION ALL SELECT 14 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 34 AS count, 3 AS depth, 12 AS parent_id, 0.8246434716724446 AS `Estimator`) AS `Values`), 
`DT_Output_32` AS 
(SELECT `DT_node_lookup_32`.`KEY` AS `KEY`, `DT_node_lookup_32`.node_id_2 AS node_id_2, `DT_node_data_32`.node_id AS node_id, `DT_node_data_32`.feature AS feature, `DT_node_data_32`.threshold AS threshold, `DT_node_data_32`.count AS count, `DT_node_data_32`.depth AS depth, `DT_node_data_32`.parent_id AS parent_id, `DT_node_data_32`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_32` LEFT OUTER JOIN `DT_node_data_32` ON `DT_node_lookup_32`.node_id_2 = `DT_node_data_32`.node_id), 
`GB_Tree_10_2` AS 
(SELECT `DT_Output_32`.`KEY` AS `KEY`, 0.0 AS `Score_0`, 0.0 AS `Score_1`, `DT_Output_32`.`Estimator` AS `Score_2` 
FROM `DT_Output_32`), 
`DT_node_lookup_33` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 1 ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.1500000953674316) THEN CASE WHEN (`ADS`.`Feature_1` <= 2.25) THEN 4 ELSE 5 END ELSE CASE WHEN (`ADS`.`Feature_0` <= 5.949999809265137) THEN 7 ELSE 8 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_33` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 1 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 1 AS depth, 0 AS parent_id, 0.8135857913517779 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 3 AS parent_id, -0.7479540830182851 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 63 AS count, 3 AS depth, 3 AS parent_id, -0.7317267467142613 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 6 AS parent_id, -0.8945449403681095 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 16 AS count, 3 AS depth, 6 AS parent_id, -0.7313298470773252 AS `Estimator`) AS `Values`), 
`DT_Output_33` AS 
(SELECT `DT_node_lookup_33`.`KEY` AS `KEY`, `DT_node_lookup_33`.node_id_2 AS node_id_2, `DT_node_data_33`.node_id AS node_id, `DT_node_data_33`.feature AS feature, `DT_node_data_33`.threshold AS threshold, `DT_node_data_33`.count AS count, `DT_node_data_33`.depth AS depth, `DT_node_data_33`.parent_id AS parent_id, `DT_node_data_33`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_33` LEFT OUTER JOIN `DT_node_data_33` ON `DT_node_lookup_33`.node_id_2 = `DT_node_data_33`.node_id), 
`GB_Tree_11_0` AS 
(SELECT `DT_Output_33`.`KEY` AS `KEY`, `DT_Output_33`.`Estimator` AS `Score_0`, 0.0 AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_33`), 
`DT_node_lookup_34` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.949999809265137) THEN CASE WHEN (`ADS`.`Feature_2` <= 2.450000047683716) THEN 2 ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN 4 ELSE 5 END END ELSE CASE WHEN (`ADS`.`Feature_1` <= 2.3499999046325684) THEN 7 ELSE CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN 9 ELSE 10 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_34` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 2 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 2 AS depth, 1 AS parent_id, -0.7276132994072468 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 38 AS count, 3 AS depth, 3 AS parent_id, 0.8119865667461451 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 6 AS count, 3 AS depth, 3 AS parent_id, -0.1843824012531243 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 2 AS depth, 6 AS parent_id, -0.874820134025974 AS `Estimator` UNION ALL SELECT 9 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 8 AS parent_id, 0.21796995952209544 AS `Estimator` UNION ALL SELECT 10 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 35 AS count, 3 AS depth, 8 AS parent_id, -0.7347032779821299 AS `Estimator`) AS `Values`), 
`DT_Output_34` AS 
(SELECT `DT_node_lookup_34`.`KEY` AS `KEY`, `DT_node_lookup_34`.node_id_2 AS node_id_2, `DT_node_data_34`.node_id AS node_id, `DT_node_data_34`.feature AS feature, `DT_node_data_34`.threshold AS threshold, `DT_node_data_34`.count AS count, `DT_node_data_34`.depth AS depth, `DT_node_data_34`.parent_id AS parent_id, `DT_node_data_34`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_34` LEFT OUTER JOIN `DT_node_data_34` ON `DT_node_lookup_34`.node_id_2 = `DT_node_data_34`.node_id), 
`GB_Tree_11_1` AS 
(SELECT `DT_Output_34`.`KEY` AS `KEY`, 0.0 AS `Score_0`, `DT_Output_34`.`Estimator` AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_34`), 
`DT_node_lookup_35` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.850000381469727) THEN CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN CASE WHEN (`ADS`.`Feature_2` <= 2.450000047683716) THEN 3 ELSE 4 END ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.0999999046325684) THEN 6 ELSE 7 END END ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.75) THEN CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN 10 ELSE 11 END ELSE CASE WHEN (`ADS`.`Feature_2` <= 4.949999809265137) THEN 13 ELSE 14 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_35` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 3 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 3 AS depth, 2 AS parent_id, -0.729071857663963 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 36 AS count, 3 AS depth, 2 AS parent_id, -0.7307595613723604 AS `Estimator` UNION ALL SELECT 6 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 5 AS parent_id, 0.8629778079728717 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 5 AS parent_id, -0.9002582856993977 AS `Estimator` UNION ALL SELECT 10 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 6 AS count, 3 AS depth, 9 AS parent_id, 0.513170143864349 AS `Estimator` UNION ALL SELECT 11 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 9 AS parent_id, -0.9028846930606482 AS `Estimator` UNION ALL SELECT 13 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 12 AS parent_id, 0.8486092054666565 AS `Estimator` UNION ALL SELECT 14 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 34 AS count, 3 AS depth, 12 AS parent_id, 0.8023553983331212 AS `Estimator`) AS `Values`), 
`DT_Output_35` AS 
(SELECT `DT_node_lookup_35`.`KEY` AS `KEY`, `DT_node_lookup_35`.node_id_2 AS node_id_2, `DT_node_data_35`.node_id AS node_id, `DT_node_data_35`.feature AS feature, `DT_node_data_35`.threshold AS threshold, `DT_node_data_35`.count AS count, `DT_node_data_35`.depth AS depth, `DT_node_data_35`.parent_id AS parent_id, `DT_node_data_35`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_35` LEFT OUTER JOIN `DT_node_data_35` ON `DT_node_lookup_35`.node_id_2 = `DT_node_data_35`.node_id), 
`GB_Tree_11_2` AS 
(SELECT `DT_Output_35`.`KEY` AS `KEY`, 0.0 AS `Score_0`, 0.0 AS `Score_1`, `DT_Output_35`.`Estimator` AS `Score_2` 
FROM `DT_Output_35`), 
`DT_node_lookup_36` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 2.450000047683716) THEN 1 ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.1500000953674316) THEN CASE WHEN (`ADS`.`Feature_1` <= 2.25) THEN 4 ELSE 5 END ELSE CASE WHEN (`ADS`.`Feature_0` <= 5.949999809265137) THEN 7 ELSE 8 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_36` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 1 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 1 AS depth, 0 AS parent_id, 0.7925919642087598 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 3 AS parent_id, -0.7397570341949757 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 63 AS count, 3 AS depth, 3 AS parent_id, -0.7234128159419858 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 6 AS parent_id, -0.8839893017423295 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 16 AS count, 3 AS depth, 6 AS parent_id, -0.7229211478393448 AS `Estimator`) AS `Values`), 
`DT_Output_36` AS 
(SELECT `DT_node_lookup_36`.`KEY` AS `KEY`, `DT_node_lookup_36`.node_id_2 AS node_id_2, `DT_node_data_36`.node_id AS node_id, `DT_node_data_36`.feature AS feature, `DT_node_data_36`.threshold AS threshold, `DT_node_data_36`.count AS count, `DT_node_data_36`.depth AS depth, `DT_node_data_36`.parent_id AS parent_id, `DT_node_data_36`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_36` LEFT OUTER JOIN `DT_node_data_36` ON `DT_node_lookup_36`.node_id_2 = `DT_node_data_36`.node_id), 
`GB_Tree_12_0` AS 
(SELECT `DT_Output_36`.`KEY` AS `KEY`, `DT_Output_36`.`Estimator` AS `Score_0`, 0.0 AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_36`), 
`DT_node_lookup_37` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.949999809265137) THEN CASE WHEN (`ADS`.`Feature_2` <= 2.450000047683716) THEN 2 ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN 4 ELSE 5 END END ELSE CASE WHEN (`ADS`.`Feature_1` <= 2.3499999046325684) THEN 7 ELSE CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN 9 ELSE 10 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_37` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 2 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 2 AS depth, 1 AS parent_id, -0.719713437340782 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 38 AS count, 3 AS depth, 3 AS parent_id, 0.7921695288511666 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 6 AS count, 3 AS depth, 3 AS parent_id, -0.16314124837078636 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 2 AS depth, 6 AS parent_id, -0.8514733289206475 AS `Estimator` UNION ALL SELECT 9 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 8 AS parent_id, 0.19966132989914293 AS `Estimator` UNION ALL SELECT 10 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 35 AS count, 3 AS depth, 8 AS parent_id, -0.7260362035107328 AS `Estimator`) AS `Values`), 
`DT_Output_37` AS 
(SELECT `DT_node_lookup_37`.`KEY` AS `KEY`, `DT_node_lookup_37`.node_id_2 AS node_id_2, `DT_node_data_37`.node_id AS node_id, `DT_node_data_37`.feature AS feature, `DT_node_data_37`.threshold AS threshold, `DT_node_data_37`.count AS count, `DT_node_data_37`.depth AS depth, `DT_node_data_37`.parent_id AS parent_id, `DT_node_data_37`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_37` LEFT OUTER JOIN `DT_node_data_37` ON `DT_node_lookup_37`.node_id_2 = `DT_node_data_37`.node_id), 
`GB_Tree_12_1` AS 
(SELECT `DT_Output_37`.`KEY` AS `KEY`, 0.0 AS `Score_0`, `DT_Output_37`.`Estimator` AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_37`), 
`DT_node_lookup_38` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.850000381469727) THEN CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN CASE WHEN (`ADS`.`Feature_2` <= 2.450000047683716) THEN 3 ELSE 4 END ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.0999999046325684) THEN 6 ELSE 7 END END ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.75) THEN CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN 10 ELSE 11 END ELSE CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN 13 ELSE 14 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_38` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 3 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 3 AS depth, 2 AS parent_id, -0.7209154176174736 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 36 AS count, 3 AS depth, 2 AS parent_id, -0.7223715518560251 AS `Estimator` UNION ALL SELECT 6 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 5 AS parent_id, 0.8407905883840481 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 5 AS parent_id, -0.8886704346308402 AS `Estimator` UNION ALL SELECT 10 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 6 AS count, 3 AS depth, 9 AS parent_id, 0.4772057493293968 AS `Estimator` UNION ALL SELECT 11 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 9 AS parent_id, -0.8799397262182772 AS `Estimator` UNION ALL SELECT 13 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 5 AS count, 3 AS depth, 12 AS parent_id, 0.818736296012665 AS `Estimator` UNION ALL SELECT 14 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 32 AS count, 3 AS depth, 12 AS parent_id, 0.7822524864635986 AS `Estimator`) AS `Values`), 
`DT_Output_38` AS 
(SELECT `DT_node_lookup_38`.`KEY` AS `KEY`, `DT_node_lookup_38`.node_id_2 AS node_id_2, `DT_node_data_38`.node_id AS node_id, `DT_node_data_38`.feature AS feature, `DT_node_data_38`.threshold AS threshold, `DT_node_data_38`.count AS count, `DT_node_data_38`.depth AS depth, `DT_node_data_38`.parent_id AS parent_id, `DT_node_data_38`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_38` LEFT OUTER JOIN `DT_node_data_38` ON `DT_node_lookup_38`.node_id_2 = `DT_node_data_38`.node_id), 
`GB_Tree_12_2` AS 
(SELECT `DT_Output_38`.`KEY` AS `KEY`, 0.0 AS `Score_0`, 0.0 AS `Score_1`, `DT_Output_38`.`Estimator` AS `Score_2` 
FROM `DT_Output_38`), 
`DT_node_lookup_39` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 2.450000047683716) THEN 1 ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.1500000953674316) THEN CASE WHEN (`ADS`.`Feature_1` <= 2.25) THEN 4 ELSE 5 END ELSE CASE WHEN (`ADS`.`Feature_0` <= 5.949999809265137) THEN 7 ELSE 8 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_39` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 1 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 1 AS depth, 0 AS parent_id, 0.7749117285545989 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 3 AS parent_id, -0.7325136606615105 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 63 AS count, 3 AS depth, 3 AS parent_id, -0.7162264414552525 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 6 AS parent_id, -0.8735310556314437 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 16 AS count, 3 AS depth, 6 AS parent_id, -0.7156428190860064 AS `Estimator`) AS `Values`), 
`DT_Output_39` AS 
(SELECT `DT_node_lookup_39`.`KEY` AS `KEY`, `DT_node_lookup_39`.node_id_2 AS node_id_2, `DT_node_data_39`.node_id AS node_id, `DT_node_data_39`.feature AS feature, `DT_node_data_39`.threshold AS threshold, `DT_node_data_39`.count AS count, `DT_node_data_39`.depth AS depth, `DT_node_data_39`.parent_id AS parent_id, `DT_node_data_39`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_39` LEFT OUTER JOIN `DT_node_data_39` ON `DT_node_lookup_39`.node_id_2 = `DT_node_data_39`.node_id), 
`GB_Tree_13_0` AS 
(SELECT `DT_Output_39`.`KEY` AS `KEY`, `DT_Output_39`.`Estimator` AS `Score_0`, 0.0 AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_39`), 
`DT_node_lookup_40` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.949999809265137) THEN CASE WHEN (`ADS`.`Feature_2` <= 2.450000047683716) THEN 2 ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN 4 ELSE 5 END END ELSE CASE WHEN (`ADS`.`Feature_1` <= 2.3499999046325684) THEN 7 ELSE CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN 9 ELSE 10 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_40` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 2 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 2 AS depth, 1 AS parent_id, -0.7128677741891903 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 38 AS count, 3 AS depth, 3 AS parent_id, 0.7755134267316662 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 6 AS count, 3 AS depth, 3 AS parent_id, -0.14385280490113828 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 2 AS depth, 6 AS parent_id, -0.8312948554007504 AS `Estimator` UNION ALL SELECT 9 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 8 AS parent_id, 0.18445662867489276 AS `Estimator` UNION ALL SELECT 10 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 35 AS count, 3 AS depth, 8 AS parent_id, -0.7185552888228622 AS `Estimator`) AS `Values`), 
`DT_Output_40` AS 
(SELECT `DT_node_lookup_40`.`KEY` AS `KEY`, `DT_node_lookup_40`.node_id_2 AS node_id_2, `DT_node_data_40`.node_id AS node_id, `DT_node_data_40`.feature AS feature, `DT_node_data_40`.threshold AS threshold, `DT_node_data_40`.count AS count, `DT_node_data_40`.depth AS depth, `DT_node_data_40`.parent_id AS parent_id, `DT_node_data_40`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_40` LEFT OUTER JOIN `DT_node_data_40` ON `DT_node_lookup_40`.node_id_2 = `DT_node_data_40`.node_id), 
`GB_Tree_13_1` AS 
(SELECT `DT_Output_40`.`KEY` AS `KEY`, 0.0 AS `Score_0`, `DT_Output_40`.`Estimator` AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_40`), 
`DT_node_lookup_41` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.850000381469727) THEN CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 3 ELSE 4 END ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.0999999046325684) THEN 6 ELSE 7 END END ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.75) THEN CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN 10 ELSE 11 END ELSE CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN 13 ELSE 14 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_41` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 3 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 3 AS depth, 2 AS parent_id, -0.7138648999594978 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 36 AS count, 3 AS depth, 2 AS parent_id, -0.7151188735269669 AS `Estimator` UNION ALL SELECT 6 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 5 AS parent_id, 0.8218000576732827 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 5 AS parent_id, -0.877315895448586 AS `Estimator` UNION ALL SELECT 10 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 6 AS count, 3 AS depth, 9 AS parent_id, 0.444316246589318 AS `Estimator` UNION ALL SELECT 11 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 9 AS parent_id, -0.8597996956171376 AS `Estimator` UNION ALL SELECT 13 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 5 AS count, 3 AS depth, 12 AS parent_id, 0.8028610396853426 AS `Estimator` UNION ALL SELECT 14 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 32 AS count, 3 AS depth, 12 AS parent_id, 0.7661568485941505 AS `Estimator`) AS `Values`), 
`DT_Output_41` AS 
(SELECT `DT_node_lookup_41`.`KEY` AS `KEY`, `DT_node_lookup_41`.node_id_2 AS node_id_2, `DT_node_data_41`.node_id AS node_id, `DT_node_data_41`.feature AS feature, `DT_node_data_41`.threshold AS threshold, `DT_node_data_41`.count AS count, `DT_node_data_41`.depth AS depth, `DT_node_data_41`.parent_id AS parent_id, `DT_node_data_41`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_41` LEFT OUTER JOIN `DT_node_data_41` ON `DT_node_lookup_41`.node_id_2 = `DT_node_data_41`.node_id), 
`GB_Tree_13_2` AS 
(SELECT `DT_Output_41`.`KEY` AS `KEY`, 0.0 AS `Score_0`, 0.0 AS `Score_1`, `DT_Output_41`.`Estimator` AS `Score_2` 
FROM `DT_Output_41`), 
`DT_node_lookup_42` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 1 ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.1500000953674316) THEN CASE WHEN (`ADS`.`Feature_1` <= 2.25) THEN 4 ELSE 5 END ELSE CASE WHEN (`ADS`.`Feature_0` <= 5.949999809265137) THEN 7 ELSE 8 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_42` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 1 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 1 AS depth, 0 AS parent_id, 0.7599432931851222 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 3 AS parent_id, -0.7261084008941477 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 63 AS count, 3 AS depth, 3 AS parent_id, -0.7100070177778646 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 6 AS parent_id, -0.863227854198013 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 16 AS count, 3 AS depth, 6 AS parent_id, -0.709331998909023 AS `Estimator`) AS `Values`), 
`DT_Output_42` AS 
(SELECT `DT_node_lookup_42`.`KEY` AS `KEY`, `DT_node_lookup_42`.node_id_2 AS node_id_2, `DT_node_data_42`.node_id AS node_id, `DT_node_data_42`.feature AS feature, `DT_node_data_42`.threshold AS threshold, `DT_node_data_42`.count AS count, `DT_node_data_42`.depth AS depth, `DT_node_data_42`.parent_id AS parent_id, `DT_node_data_42`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_42` LEFT OUTER JOIN `DT_node_data_42` ON `DT_node_lookup_42`.node_id_2 = `DT_node_data_42`.node_id), 
`GB_Tree_14_0` AS 
(SELECT `DT_Output_42`.`KEY` AS `KEY`, `DT_Output_42`.`Estimator` AS `Score_0`, 0.0 AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_42`), 
`DT_node_lookup_43` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.949999809265137) THEN CASE WHEN (`ADS`.`Feature_2` <= 2.450000047683716) THEN 2 ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN 4 ELSE 5 END END ELSE CASE WHEN (`ADS`.`Feature_1` <= 2.3499999046325684) THEN 7 ELSE CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN 9 ELSE 10 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_43` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 2 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 2 AS depth, 1 AS parent_id, -0.7069289212256914 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 38 AS count, 3 AS depth, 3 AS parent_id, 0.7614521247012881 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 6 AS count, 3 AS depth, 3 AS parent_id, -0.12620126250909683 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 2 AS depth, 6 AS parent_id, -0.8137771415215567 AS `Estimator` UNION ALL SELECT 9 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 8 AS parent_id, 0.17079916421899624 AS `Estimator` UNION ALL SELECT 10 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 35 AS count, 3 AS depth, 8 AS parent_id, -0.712083522019284 AS `Estimator`) AS `Values`), 
`DT_Output_43` AS 
(SELECT `DT_node_lookup_43`.`KEY` AS `KEY`, `DT_node_lookup_43`.node_id_2 AS node_id_2, `DT_node_data_43`.node_id AS node_id, `DT_node_data_43`.feature AS feature, `DT_node_data_43`.threshold AS threshold, `DT_node_data_43`.count AS count, `DT_node_data_43`.depth AS depth, `DT_node_data_43`.parent_id AS parent_id, `DT_node_data_43`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_43` LEFT OUTER JOIN `DT_node_data_43` ON `DT_node_lookup_43`.node_id_2 = `DT_node_data_43`.node_id), 
`GB_Tree_14_1` AS 
(SELECT `DT_Output_43`.`KEY` AS `KEY`, 0.0 AS `Score_0`, `DT_Output_43`.`Estimator` AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_43`), 
`DT_node_lookup_44` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.850000381469727) THEN CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 3 ELSE 4 END ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.0999999046325684) THEN 6 ELSE 7 END END ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.75) THEN CASE WHEN (`ADS`.`Feature_0` <= 6.199999809265137) THEN 10 ELSE 11 END ELSE CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN 13 ELSE 14 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_44` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 3 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 3 AS depth, 2 AS parent_id, -0.7077610548784229 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 36 AS count, 3 AS depth, 2 AS parent_id, -0.7088389685279078 AS `Estimator` UNION ALL SELECT 6 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 5 AS parent_id, 0.8054368715282514 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 5 AS parent_id, -0.8662366943606574 AS `Estimator` UNION ALL SELECT 10 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 9 AS parent_id, 0.8607111348478825 AS `Estimator` UNION ALL SELECT 11 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 5 AS count, 3 AS depth, 9 AS parent_id, -0.1232942036265037 AS `Estimator` UNION ALL SELECT 13 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 5 AS count, 3 AS depth, 12 AS parent_id, 0.7890700148640551 AS `Estimator` UNION ALL SELECT 14 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 32 AS count, 3 AS depth, 12 AS parent_id, 0.7524951192121768 AS `Estimator`) AS `Values`), 
`DT_Output_44` AS 
(SELECT `DT_node_lookup_44`.`KEY` AS `KEY`, `DT_node_lookup_44`.node_id_2 AS node_id_2, `DT_node_data_44`.node_id AS node_id, `DT_node_data_44`.feature AS feature, `DT_node_data_44`.threshold AS threshold, `DT_node_data_44`.count AS count, `DT_node_data_44`.depth AS depth, `DT_node_data_44`.parent_id AS parent_id, `DT_node_data_44`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_44` LEFT OUTER JOIN `DT_node_data_44` ON `DT_node_lookup_44`.node_id_2 = `DT_node_data_44`.node_id), 
`GB_Tree_14_2` AS 
(SELECT `DT_Output_44`.`KEY` AS `KEY`, 0.0 AS `Score_0`, 0.0 AS `Score_1`, `DT_Output_44`.`Estimator` AS `Score_2` 
FROM `DT_Output_44`), 
`DT_node_lookup_45` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 1 ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.1500000953674316) THEN CASE WHEN (`ADS`.`Feature_1` <= 2.25) THEN 4 ELSE 5 END ELSE CASE WHEN (`ADS`.`Feature_0` <= 5.949999809265137) THEN 7 ELSE 8 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_45` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 1 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 1 AS depth, 0 AS parent_id, 0.7472136299795012 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 3 AS parent_id, -0.7189502909799905 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 63 AS count, 3 AS depth, 3 AS parent_id, -0.7047438974312557 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 6 AS parent_id, -0.8531275411798412 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 16 AS count, 3 AS depth, 6 AS parent_id, -0.7038542580200876 AS `Estimator`) AS `Values`), 
`DT_Output_45` AS 
(SELECT `DT_node_lookup_45`.`KEY` AS `KEY`, `DT_node_lookup_45`.node_id_2 AS node_id_2, `DT_node_data_45`.node_id AS node_id, `DT_node_data_45`.feature AS feature, `DT_node_data_45`.threshold AS threshold, `DT_node_data_45`.count AS count, `DT_node_data_45`.depth AS depth, `DT_node_data_45`.parent_id AS parent_id, `DT_node_data_45`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_45` LEFT OUTER JOIN `DT_node_data_45` ON `DT_node_lookup_45`.node_id_2 = `DT_node_data_45`.node_id), 
`GB_Tree_15_0` AS 
(SELECT `DT_Output_45`.`KEY` AS `KEY`, `DT_Output_45`.`Estimator` AS `Score_0`, 0.0 AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_45`), 
`DT_node_lookup_46` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.949999809265137) THEN CASE WHEN (`ADS`.`Feature_2` <= 2.450000047683716) THEN 2 ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN 4 ELSE 5 END END ELSE CASE WHEN (`ADS`.`Feature_1` <= 2.3499999046325684) THEN 7 ELSE CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN 9 ELSE 10 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_46` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 2 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 2 AS depth, 1 AS parent_id, -0.7017715194149606 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 38 AS count, 3 AS depth, 3 AS parent_id, 0.7490463140449247 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 6 AS count, 3 AS depth, 3 AS parent_id, -0.11011210385631291 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 2 AS depth, 6 AS parent_id, -0.7933572407002539 AS `Estimator` UNION ALL SELECT 9 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 8 AS parent_id, 0.17680530884433956 AS `Estimator` UNION ALL SELECT 10 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 35 AS count, 3 AS depth, 8 AS parent_id, -0.7067044739581372 AS `Estimator`) AS `Values`), 
`DT_Output_46` AS 
(SELECT `DT_node_lookup_46`.`KEY` AS `KEY`, `DT_node_lookup_46`.node_id_2 AS node_id_2, `DT_node_data_46`.node_id AS node_id, `DT_node_data_46`.feature AS feature, `DT_node_data_46`.threshold AS threshold, `DT_node_data_46`.count AS count, `DT_node_data_46`.depth AS depth, `DT_node_data_46`.parent_id AS parent_id, `DT_node_data_46`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_46` LEFT OUTER JOIN `DT_node_data_46` ON `DT_node_lookup_46`.node_id_2 = `DT_node_data_46`.node_id), 
`GB_Tree_15_1` AS 
(SELECT `DT_Output_46`.`KEY` AS `KEY`, 0.0 AS `Score_0`, `DT_Output_46`.`Estimator` AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_46`), 
`DT_node_lookup_47` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.850000381469727) THEN CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN CASE WHEN (`ADS`.`Feature_2` <= 2.450000047683716) THEN 3 ELSE 4 END ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.0999999046325684) THEN 6 ELSE 7 END END ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.75) THEN CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN 10 ELSE 11 END ELSE CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN 13 ELSE 14 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_47` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 3 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 3 AS depth, 2 AS parent_id, -0.7024696917838653 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 36 AS count, 3 AS depth, 2 AS parent_id, -0.7033963048044344 AS `Estimator` UNION ALL SELECT 6 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 5 AS parent_id, 0.7912520346008097 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 5 AS parent_id, -0.8554691811351116 AS `Estimator` UNION ALL SELECT 10 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 6 AS count, 3 AS depth, 9 AS parent_id, 0.3998494283220059 AS `Estimator` UNION ALL SELECT 11 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 9 AS parent_id, -0.8378704452559582 AS `Estimator` UNION ALL SELECT 13 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 5 AS count, 3 AS depth, 12 AS parent_id, 0.7770685927765045 AS `Estimator` UNION ALL SELECT 14 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 32 AS count, 3 AS depth, 12 AS parent_id, 0.7408503689195728 AS `Estimator`) AS `Values`), 
`DT_Output_47` AS 
(SELECT `DT_node_lookup_47`.`KEY` AS `KEY`, `DT_node_lookup_47`.node_id_2 AS node_id_2, `DT_node_data_47`.node_id AS node_id, `DT_node_data_47`.feature AS feature, `DT_node_data_47`.threshold AS threshold, `DT_node_data_47`.count AS count, `DT_node_data_47`.depth AS depth, `DT_node_data_47`.parent_id AS parent_id, `DT_node_data_47`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_47` LEFT OUTER JOIN `DT_node_data_47` ON `DT_node_lookup_47`.node_id_2 = `DT_node_data_47`.node_id), 
`GB_Tree_15_2` AS 
(SELECT `DT_Output_47`.`KEY` AS `KEY`, 0.0 AS `Score_0`, 0.0 AS `Score_1`, `DT_Output_47`.`Estimator` AS `Score_2` 
FROM `DT_Output_47`), 
`DT_node_lookup_48` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 1 ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.1500000953674316) THEN CASE WHEN (`ADS`.`Feature_1` <= 2.25) THEN 4 ELSE 5 END ELSE CASE WHEN (`ADS`.`Feature_0` <= 5.949999809265137) THEN 7 ELSE 8 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_48` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 1 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 1 AS depth, 0 AS parent_id, 0.7363462058687616 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 3 AS parent_id, -0.7139407605683367 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 63 AS count, 3 AS depth, 3 AS parent_id, -0.7000563960188372 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 6 AS parent_id, -0.8432717004945214 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 16 AS count, 3 AS depth, 6 AS parent_id, -0.6990955076036965 AS `Estimator`) AS `Values`), 
`DT_Output_48` AS 
(SELECT `DT_node_lookup_48`.`KEY` AS `KEY`, `DT_node_lookup_48`.node_id_2 AS node_id_2, `DT_node_data_48`.node_id AS node_id, `DT_node_data_48`.feature AS feature, `DT_node_data_48`.threshold AS threshold, `DT_node_data_48`.count AS count, `DT_node_data_48`.depth AS depth, `DT_node_data_48`.parent_id AS parent_id, `DT_node_data_48`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_48` LEFT OUTER JOIN `DT_node_data_48` ON `DT_node_lookup_48`.node_id_2 = `DT_node_data_48`.node_id), 
`GB_Tree_16_0` AS 
(SELECT `DT_Output_48`.`KEY` AS `KEY`, `DT_Output_48`.`Estimator` AS `Score_0`, 0.0 AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_48`), 
`DT_node_lookup_49` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.949999809265137) THEN CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 2 ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN 4 ELSE 5 END END ELSE CASE WHEN (`ADS`.`Feature_1` <= 2.3499999046325684) THEN 7 ELSE CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN 9 ELSE 10 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_49` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 2 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 2 AS depth, 1 AS parent_id, -0.6972886696009659 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 38 AS count, 3 AS depth, 3 AS parent_id, 0.7389086637236678 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 6 AS count, 3 AS depth, 3 AS parent_id, -0.09550314426550657 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 2 AS depth, 6 AS parent_id, -0.7803805005194523 AS `Estimator` UNION ALL SELECT 9 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 8 AS parent_id, 0.16400333205555626 AS `Estimator` UNION ALL SELECT 10 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 35 AS count, 3 AS depth, 8 AS parent_id, -0.7018216267642586 AS `Estimator`) AS `Values`), 
`DT_Output_49` AS 
(SELECT `DT_node_lookup_49`.`KEY` AS `KEY`, `DT_node_lookup_49`.node_id_2 AS node_id_2, `DT_node_data_49`.node_id AS node_id, `DT_node_data_49`.feature AS feature, `DT_node_data_49`.threshold AS threshold, `DT_node_data_49`.count AS count, `DT_node_data_49`.depth AS depth, `DT_node_data_49`.parent_id AS parent_id, `DT_node_data_49`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_49` LEFT OUTER JOIN `DT_node_data_49` ON `DT_node_lookup_49`.node_id_2 = `DT_node_data_49`.node_id), 
`GB_Tree_16_1` AS 
(SELECT `DT_Output_49`.`KEY` AS `KEY`, 0.0 AS `Score_0`, `DT_Output_49`.`Estimator` AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_49`), 
`DT_node_lookup_50` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.850000381469727) THEN CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 3 ELSE 4 END ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.0999999046325684) THEN 6 ELSE 7 END END ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.75) THEN CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN 10 ELSE 11 END ELSE CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN 13 ELSE 14 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_50` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 3 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 3 AS depth, 2 AS parent_id, -0.6978772656476878 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 36 AS count, 3 AS depth, 2 AS parent_id, -0.6986724402143993 AS `Estimator` UNION ALL SELECT 6 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 5 AS parent_id, 0.7788886183992209 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 5 AS parent_id, -0.8450438253806092 AS `Estimator` UNION ALL SELECT 10 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 6 AS count, 3 AS depth, 9 AS parent_id, 0.37333985821046556 AS `Estimator` UNION ALL SELECT 11 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 9 AS parent_id, -0.8223936470859579 AS `Estimator` UNION ALL SELECT 13 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 5 AS count, 3 AS depth, 12 AS parent_id, 0.7665337851864958 AS `Estimator` UNION ALL SELECT 14 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 32 AS count, 3 AS depth, 12 AS parent_id, 0.7308910399210861 AS `Estimator`) AS `Values`), 
`DT_Output_50` AS 
(SELECT `DT_node_lookup_50`.`KEY` AS `KEY`, `DT_node_lookup_50`.node_id_2 AS node_id_2, `DT_node_data_50`.node_id AS node_id, `DT_node_data_50`.feature AS feature, `DT_node_data_50`.threshold AS threshold, `DT_node_data_50`.count AS count, `DT_node_data_50`.depth AS depth, `DT_node_data_50`.parent_id AS parent_id, `DT_node_data_50`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_50` LEFT OUTER JOIN `DT_node_data_50` ON `DT_node_lookup_50`.node_id_2 = `DT_node_data_50`.node_id), 
`GB_Tree_16_2` AS 
(SELECT `DT_Output_50`.`KEY` AS `KEY`, 0.0 AS `Score_0`, 0.0 AS `Score_1`, `DT_Output_50`.`Estimator` AS `Score_2` 
FROM `DT_Output_50`), 
`DT_node_lookup_51` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 1 ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.1500000953674316) THEN CASE WHEN (`ADS`.`Feature_1` <= 2.25) THEN 4 ELSE 5 END ELSE CASE WHEN (`ADS`.`Feature_0` <= 5.949999809265137) THEN 7 ELSE 8 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_51` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 1 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 1 AS depth, 0 AS parent_id, 0.7270379516915817 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 3 AS parent_id, -0.7095056257684634 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 63 AS count, 3 AS depth, 3 AS parent_id, -0.6959853765090037 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 6 AS parent_id, -0.8336955309396934 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 16 AS count, 3 AS depth, 6 AS parent_id, -0.6949574734359059 AS `Estimator`) AS `Values`), 
`DT_Output_51` AS 
(SELECT `DT_node_lookup_51`.`KEY` AS `KEY`, `DT_node_lookup_51`.node_id_2 AS node_id_2, `DT_node_data_51`.node_id AS node_id, `DT_node_data_51`.feature AS feature, `DT_node_data_51`.threshold AS threshold, `DT_node_data_51`.count AS count, `DT_node_data_51`.depth AS depth, `DT_node_data_51`.parent_id AS parent_id, `DT_node_data_51`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_51` LEFT OUTER JOIN `DT_node_data_51` ON `DT_node_lookup_51`.node_id_2 = `DT_node_data_51`.node_id), 
`GB_Tree_17_0` AS 
(SELECT `DT_Output_51`.`KEY` AS `KEY`, `DT_Output_51`.`Estimator` AS `Score_0`, 0.0 AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_51`), 
`DT_node_lookup_52` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.949999809265137) THEN CASE WHEN (`ADS`.`Feature_2` <= 2.450000047683716) THEN 2 ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN 4 ELSE 5 END END ELSE CASE WHEN (`ADS`.`Feature_1` <= 2.3499999046325684) THEN 7 ELSE CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN 9 ELSE 10 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_52` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 2 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 2 AS depth, 1 AS parent_id, -0.6933889866534841 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 38 AS count, 3 AS depth, 3 AS parent_id, 0.7302697361161011 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 6 AS count, 3 AS depth, 3 AS parent_id, -0.08228861981044226 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 2 AS depth, 6 AS parent_id, -0.7689988164294764 AS `Estimator` UNION ALL SELECT 9 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 8 AS parent_id, 0.152381077556536 AS `Estimator` UNION ALL SELECT 10 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 35 AS count, 3 AS depth, 8 AS parent_id, -0.697580779993399 AS `Estimator`) AS `Values`), 
`DT_Output_52` AS 
(SELECT `DT_node_lookup_52`.`KEY` AS `KEY`, `DT_node_lookup_52`.node_id_2 AS node_id_2, `DT_node_data_52`.node_id AS node_id, `DT_node_data_52`.feature AS feature, `DT_node_data_52`.threshold AS threshold, `DT_node_data_52`.count AS count, `DT_node_data_52`.depth AS depth, `DT_node_data_52`.parent_id AS parent_id, `DT_node_data_52`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_52` LEFT OUTER JOIN `DT_node_data_52` ON `DT_node_lookup_52`.node_id_2 = `DT_node_data_52`.node_id), 
`GB_Tree_17_1` AS 
(SELECT `DT_Output_52`.`KEY` AS `KEY`, 0.0 AS `Score_0`, `DT_Output_52`.`Estimator` AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_52`), 
`DT_node_lookup_53` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.850000381469727) THEN CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 3 ELSE 4 END ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.0999999046325684) THEN 6 ELSE 7 END END ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.75) THEN CASE WHEN (`ADS`.`Feature_2` <= 4.949999809265137) THEN 10 ELSE 11 END ELSE CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN 13 ELSE 14 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_53` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 3 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 3 AS depth, 2 AS parent_id, -0.6938873397934344 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 36 AS count, 3 AS depth, 2 AS parent_id, -0.6945685100611991 AS `Estimator` UNION ALL SELECT 6 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 5 AS parent_id, 0.7680587010141962 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 5 AS parent_id, -0.8349852315183718 AS `Estimator` UNION ALL SELECT 10 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 9 AS parent_id, -0.7448731378187697 AS `Estimator` UNION ALL SELECT 11 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 5 AS count, 3 AS depth, 9 AS parent_id, 0.4101924873083864 AS `Estimator` UNION ALL SELECT 13 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 5 AS count, 3 AS depth, 12 AS parent_id, 0.7572449541149441 AS `Estimator` UNION ALL SELECT 14 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 32 AS count, 3 AS depth, 12 AS parent_id, 0.72234738542487 AS `Estimator`) AS `Values`), 
`DT_Output_53` AS 
(SELECT `DT_node_lookup_53`.`KEY` AS `KEY`, `DT_node_lookup_53`.node_id_2 AS node_id_2, `DT_node_data_53`.node_id AS node_id, `DT_node_data_53`.feature AS feature, `DT_node_data_53`.threshold AS threshold, `DT_node_data_53`.count AS count, `DT_node_data_53`.depth AS depth, `DT_node_data_53`.parent_id AS parent_id, `DT_node_data_53`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_53` LEFT OUTER JOIN `DT_node_data_53` ON `DT_node_lookup_53`.node_id_2 = `DT_node_data_53`.node_id), 
`GB_Tree_17_2` AS 
(SELECT `DT_Output_53`.`KEY` AS `KEY`, 0.0 AS `Score_0`, 0.0 AS `Score_1`, `DT_Output_53`.`Estimator` AS `Score_2` 
FROM `DT_Output_53`), 
`DT_node_lookup_54` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 1 ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.1500000953674316) THEN CASE WHEN (`ADS`.`Feature_1` <= 2.25) THEN 4 ELSE 5 END ELSE CASE WHEN (`ADS`.`Feature_0` <= 5.949999809265137) THEN 7 ELSE 8 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_54` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 1 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 1 AS depth, 0 AS parent_id, 0.7190425256200634 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 3 AS parent_id, -0.7053973920758367 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 63 AS count, 3 AS depth, 3 AS parent_id, -0.6924138562849458 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 6 AS parent_id, -0.8244279319285379 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 16 AS count, 3 AS depth, 6 AS parent_id, -0.6913564858144173 AS `Estimator`) AS `Values`), 
`DT_Output_54` AS 
(SELECT `DT_node_lookup_54`.`KEY` AS `KEY`, `DT_node_lookup_54`.node_id_2 AS node_id_2, `DT_node_data_54`.node_id AS node_id, `DT_node_data_54`.feature AS feature, `DT_node_data_54`.threshold AS threshold, `DT_node_data_54`.count AS count, `DT_node_data_54`.depth AS depth, `DT_node_data_54`.parent_id AS parent_id, `DT_node_data_54`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_54` LEFT OUTER JOIN `DT_node_data_54` ON `DT_node_lookup_54`.node_id_2 = `DT_node_data_54`.node_id), 
`GB_Tree_18_0` AS 
(SELECT `DT_Output_54`.`KEY` AS `KEY`, `DT_Output_54`.`Estimator` AS `Score_0`, 0.0 AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_54`), 
`DT_node_lookup_55` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.949999809265137) THEN CASE WHEN (`ADS`.`Feature_2` <= 2.450000047683716) THEN 2 ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN 4 ELSE 5 END END ELSE CASE WHEN (`ADS`.`Feature_1` <= 2.3499999046325684) THEN 7 ELSE CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN 9 ELSE 10 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_55` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 2 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 2 AS depth, 1 AS parent_id, -0.68999416398385 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 38 AS count, 3 AS depth, 3 AS parent_id, 0.7218518116018421 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 6 AS count, 3 AS depth, 3 AS parent_id, -0.07037916931941288 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 2 AS depth, 6 AS parent_id, -0.7584600966071744 AS `Estimator` UNION ALL SELECT 9 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 8 AS parent_id, 0.1732328424438751 AS `Estimator` UNION ALL SELECT 10 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 35 AS count, 3 AS depth, 8 AS parent_id, -0.6938544484847807 AS `Estimator`) AS `Values`), 
`DT_Output_55` AS 
(SELECT `DT_node_lookup_55`.`KEY` AS `KEY`, `DT_node_lookup_55`.node_id_2 AS node_id_2, `DT_node_data_55`.node_id AS node_id, `DT_node_data_55`.feature AS feature, `DT_node_data_55`.threshold AS threshold, `DT_node_data_55`.count AS count, `DT_node_data_55`.depth AS depth, `DT_node_data_55`.parent_id AS parent_id, `DT_node_data_55`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_55` LEFT OUTER JOIN `DT_node_data_55` ON `DT_node_lookup_55`.node_id_2 = `DT_node_data_55`.node_id), 
`GB_Tree_18_1` AS 
(SELECT `DT_Output_55`.`KEY` AS `KEY`, 0.0 AS `Score_0`, `DT_Output_55`.`Estimator` AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_55`), 
`DT_node_lookup_56` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.850000381469727) THEN CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 3 ELSE 4 END ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.0999999046325684) THEN 6 ELSE 7 END END ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.75) THEN CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN 10 ELSE 11 END ELSE CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN 13 ELSE 14 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_56` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 3 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 3 AS depth, 2 AS parent_id, -0.6904177311749088 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 36 AS count, 3 AS depth, 2 AS parent_id, -0.6910026154040999 AS `Estimator` UNION ALL SELECT 6 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 5 AS parent_id, 0.7585283997731497 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 5 AS parent_id, -0.8253122910407897 AS `Estimator` UNION ALL SELECT 10 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 6 AS count, 3 AS depth, 9 AS parent_id, 0.3530304141589602 AS `Estimator` UNION ALL SELECT 11 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 9 AS parent_id, -0.8127071838647439 AS `Estimator` UNION ALL SELECT 13 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 5 AS count, 3 AS depth, 12 AS parent_id, 0.7490841742080436 AS `Estimator` UNION ALL SELECT 14 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 32 AS count, 3 AS depth, 12 AS parent_id, 0.7149992013382599 AS `Estimator`) AS `Values`), 
`DT_Output_56` AS 
(SELECT `DT_node_lookup_56`.`KEY` AS `KEY`, `DT_node_lookup_56`.node_id_2 AS node_id_2, `DT_node_data_56`.node_id AS node_id, `DT_node_data_56`.feature AS feature, `DT_node_data_56`.threshold AS threshold, `DT_node_data_56`.count AS count, `DT_node_data_56`.depth AS depth, `DT_node_data_56`.parent_id AS parent_id, `DT_node_data_56`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_56` LEFT OUTER JOIN `DT_node_data_56` ON `DT_node_lookup_56`.node_id_2 = `DT_node_data_56`.node_id), 
`GB_Tree_18_2` AS 
(SELECT `DT_Output_56`.`KEY` AS `KEY`, 0.0 AS `Score_0`, 0.0 AS `Score_1`, `DT_Output_56`.`Estimator` AS `Score_2` 
FROM `DT_Output_56`), 
`DT_node_lookup_57` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 1 ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.1500000953674316) THEN CASE WHEN (`ADS`.`Feature_2` <= 4.949999809265137) THEN 4 ELSE 5 END ELSE CASE WHEN (`ADS`.`Feature_0` <= 5.949999809265137) THEN 7 ELSE 8 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_57` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 1 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 1 AS depth, 0 AS parent_id, 0.7121579517475197 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 39 AS count, 3 AS depth, 3 AS parent_id, -0.6878059081304366 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 27 AS count, 3 AS depth, 3 AS parent_id, -0.6929153018783422 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 6 AS parent_id, -0.8154917200028791 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 16 AS count, 3 AS depth, 6 AS parent_id, -0.6882212947094988 AS `Estimator`) AS `Values`), 
`DT_Output_57` AS 
(SELECT `DT_node_lookup_57`.`KEY` AS `KEY`, `DT_node_lookup_57`.node_id_2 AS node_id_2, `DT_node_data_57`.node_id AS node_id, `DT_node_data_57`.feature AS feature, `DT_node_data_57`.threshold AS threshold, `DT_node_data_57`.count AS count, `DT_node_data_57`.depth AS depth, `DT_node_data_57`.parent_id AS parent_id, `DT_node_data_57`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_57` LEFT OUTER JOIN `DT_node_data_57` ON `DT_node_lookup_57`.node_id_2 = `DT_node_data_57`.node_id), 
`GB_Tree_19_0` AS 
(SELECT `DT_Output_57`.`KEY` AS `KEY`, `DT_Output_57`.`Estimator` AS `Score_0`, 0.0 AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_57`), 
`DT_node_lookup_58` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.949999809265137) THEN CASE WHEN (`ADS`.`Feature_2` <= 2.450000047683716) THEN 2 ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN 4 ELSE 5 END END ELSE CASE WHEN (`ADS`.`Feature_1` <= 2.549999952316284) THEN CASE WHEN (`ADS`.`Feature_1` <= 2.3499999046325684) THEN 8 ELSE 9 END ELSE CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN 11 ELSE 12 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_58` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 2 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 2 AS depth, 1 AS parent_id, -0.6870369547014503 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 38 AS count, 3 AS depth, 3 AS parent_id, 0.7155215154830905 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 6 AS count, 3 AS depth, 3 AS parent_id, -0.059680683432442275 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 7 AS parent_id, -0.7494502795630825 AS `Estimator` UNION ALL SELECT 9 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 7 AS parent_id, -0.7106667889254473 AS `Estimator` UNION ALL SELECT 11 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 10 AS parent_id, 0.8422950654083747 AS `Estimator` UNION ALL SELECT 12 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 34 AS count, 3 AS depth, 10 AS parent_id, -0.6906871143260856 AS `Estimator`) AS `Values`), 
`DT_Output_58` AS 
(SELECT `DT_node_lookup_58`.`KEY` AS `KEY`, `DT_node_lookup_58`.node_id_2 AS node_id_2, `DT_node_data_58`.node_id AS node_id, `DT_node_data_58`.feature AS feature, `DT_node_data_58`.threshold AS threshold, `DT_node_data_58`.count AS count, `DT_node_data_58`.depth AS depth, `DT_node_data_58`.parent_id AS parent_id, `DT_node_data_58`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_58` LEFT OUTER JOIN `DT_node_data_58` ON `DT_node_lookup_58`.node_id_2 = `DT_node_data_58`.node_id), 
`GB_Tree_19_1` AS 
(SELECT `DT_Output_58`.`KEY` AS `KEY`, 0.0 AS `Score_0`, `DT_Output_58`.`Estimator` AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_58`), 
`DT_node_lookup_59` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.850000381469727) THEN CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 3 ELSE 4 END ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.0999999046325684) THEN 6 ELSE 7 END END ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.75) THEN CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN 10 ELSE 11 END ELSE CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN 13 ELSE 14 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_59` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 3 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 3 AS depth, 2 AS parent_id, -0.6873981910750246 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 36 AS count, 3 AS depth, 2 AS parent_id, -0.6878994489779174 AS `Estimator` UNION ALL SELECT 6 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 5 AS parent_id, 0.7501088456363237 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 5 AS parent_id, -0.8160384383786714 AS `Estimator` UNION ALL SELECT 10 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 6 AS count, 3 AS depth, 9 AS parent_id, 0.33028579323159657 AS `Estimator` UNION ALL SELECT 11 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 9 AS parent_id, -0.7913433152490688 AS `Estimator` UNION ALL SELECT 13 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 5 AS count, 3 AS depth, 12 AS parent_id, 0.7402700318728922 AS `Estimator` UNION ALL SELECT 14 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 32 AS count, 3 AS depth, 12 AS parent_id, 0.708658761270134 AS `Estimator`) AS `Values`), 
`DT_Output_59` AS 
(SELECT `DT_node_lookup_59`.`KEY` AS `KEY`, `DT_node_lookup_59`.node_id_2 AS node_id_2, `DT_node_data_59`.node_id AS node_id, `DT_node_data_59`.feature AS feature, `DT_node_data_59`.threshold AS threshold, `DT_node_data_59`.count AS count, `DT_node_data_59`.depth AS depth, `DT_node_data_59`.parent_id AS parent_id, `DT_node_data_59`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_59` LEFT OUTER JOIN `DT_node_data_59` ON `DT_node_lookup_59`.node_id_2 = `DT_node_data_59`.node_id), 
`GB_Tree_19_2` AS 
(SELECT `DT_Output_59`.`KEY` AS `KEY`, 0.0 AS `Score_0`, 0.0 AS `Score_1`, `DT_Output_59`.`Estimator` AS `Score_2` 
FROM `DT_Output_59`), 
`DT_node_lookup_60` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 1 ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.1500000953674316) THEN CASE WHEN (`ADS`.`Feature_1` <= 2.25) THEN 4 ELSE 5 END ELSE CASE WHEN (`ADS`.`Feature_0` <= 5.949999809265137) THEN 7 ELSE 8 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_60` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 1 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 1 AS depth, 0 AS parent_id, 0.7062173543764424 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 3 AS parent_id, -0.6987106130576137 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 63 AS count, 3 AS depth, 3 AS parent_id, -0.6865943540289567 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 6 AS parent_id, -0.8069039415699119 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 16 AS count, 3 AS depth, 6 AS parent_id, -0.685489532471546 AS `Estimator`) AS `Values`), 
`DT_Output_60` AS 
(SELECT `DT_node_lookup_60`.`KEY` AS `KEY`, `DT_node_lookup_60`.node_id_2 AS node_id_2, `DT_node_data_60`.node_id AS node_id, `DT_node_data_60`.feature AS feature, `DT_node_data_60`.threshold AS threshold, `DT_node_data_60`.count AS count, `DT_node_data_60`.depth AS depth, `DT_node_data_60`.parent_id AS parent_id, `DT_node_data_60`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_60` LEFT OUTER JOIN `DT_node_data_60` ON `DT_node_lookup_60`.node_id_2 = `DT_node_data_60`.node_id), 
`GB_Tree_20_0` AS 
(SELECT `DT_Output_60`.`KEY` AS `KEY`, `DT_Output_60`.`Estimator` AS `Score_0`, 0.0 AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_60`), 
`DT_node_lookup_61` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.949999809265137) THEN CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 2 ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.049999952316284) THEN 4 ELSE 5 END END ELSE CASE WHEN (`ADS`.`Feature_1` <= 2.3499999046325684) THEN 7 ELSE CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN 9 ELSE 10 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_61` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 2 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 2 AS depth, 1 AS parent_id, -0.6844594929137495 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 36 AS count, 3 AS depth, 3 AS parent_id, 0.45797669156585274 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 8 AS count, 3 AS depth, 3 AS parent_id, 0.8180811102052216 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 2 AS depth, 6 AS parent_id, -0.7414997216761108 AS `Estimator` UNION ALL SELECT 9 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 8 AS parent_id, 0.158267175748673 AS `Estimator` UNION ALL SELECT 10 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 35 AS count, 3 AS depth, 8 AS parent_id, -0.687822363726427 AS `Estimator`) AS `Values`), 
`DT_Output_61` AS 
(SELECT `DT_node_lookup_61`.`KEY` AS `KEY`, `DT_node_lookup_61`.node_id_2 AS node_id_2, `DT_node_data_61`.node_id AS node_id, `DT_node_data_61`.feature AS feature, `DT_node_data_61`.threshold AS threshold, `DT_node_data_61`.count AS count, `DT_node_data_61`.depth AS depth, `DT_node_data_61`.parent_id AS parent_id, `DT_node_data_61`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_61` LEFT OUTER JOIN `DT_node_data_61` ON `DT_node_lookup_61`.node_id_2 = `DT_node_data_61`.node_id), 
`GB_Tree_20_1` AS 
(SELECT `DT_Output_61`.`KEY` AS `KEY`, 0.0 AS `Score_0`, `DT_Output_61`.`Estimator` AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_61`), 
`DT_node_lookup_62` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.850000381469727) THEN CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN CASE WHEN (`ADS`.`Feature_2` <= 2.450000047683716) THEN 3 ELSE 4 END ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.0999999046325684) THEN 6 ELSE 7 END END ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.75) THEN CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN 10 ELSE 11 END ELSE CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN 13 ELSE 14 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_62` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 3 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 3 AS depth, 2 AS parent_id, -0.6847685088661647 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 36 AS count, 3 AS depth, 2 AS parent_id, -0.6855524226524171 AS `Estimator` UNION ALL SELECT 6 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 5 AS parent_id, 0.745745321720788 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 5 AS parent_id, -0.7976382949583486 AS `Estimator` UNION ALL SELECT 10 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 6 AS count, 3 AS depth, 9 AS parent_id, 0.30691809664592057 AS `Estimator` UNION ALL SELECT 11 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 9 AS parent_id, -0.7804579320634331 AS `Estimator` UNION ALL SELECT 13 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 5 AS count, 3 AS depth, 12 AS parent_id, 0.7357075016313516 AS `Estimator` UNION ALL SELECT 14 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 32 AS count, 3 AS depth, 12 AS parent_id, 0.7031886656331522 AS `Estimator`) AS `Values`), 
`DT_Output_62` AS 
(SELECT `DT_node_lookup_62`.`KEY` AS `KEY`, `DT_node_lookup_62`.node_id_2 AS node_id_2, `DT_node_data_62`.node_id AS node_id, `DT_node_data_62`.feature AS feature, `DT_node_data_62`.threshold AS threshold, `DT_node_data_62`.count AS count, `DT_node_data_62`.depth AS depth, `DT_node_data_62`.parent_id AS parent_id, `DT_node_data_62`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_62` LEFT OUTER JOIN `DT_node_data_62` ON `DT_node_lookup_62`.node_id_2 = `DT_node_data_62`.node_id), 
`GB_Tree_20_2` AS 
(SELECT `DT_Output_62`.`KEY` AS `KEY`, 0.0 AS `Score_0`, 0.0 AS `Score_1`, `DT_Output_62`.`Estimator` AS `Score_2` 
FROM `DT_Output_62`), 
`DT_node_lookup_63` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 2.450000047683716) THEN 1 ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.1500000953674316) THEN CASE WHEN (`ADS`.`Feature_1` <= 2.25) THEN 4 ELSE 5 END ELSE CASE WHEN (`ADS`.`Feature_0` <= 5.949999809265137) THEN 7 ELSE 8 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_63` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 1 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 1 AS depth, 0 AS parent_id, 0.7010819184111153 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 3 AS parent_id, -0.6959447194535469 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 63 AS count, 3 AS depth, 3 AS parent_id, -0.6844115922954506 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 6 AS parent_id, -0.7896725452019107 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 16 AS count, 3 AS depth, 6 AS parent_id, -0.6830658025785373 AS `Estimator`) AS `Values`), 
`DT_Output_63` AS 
(SELECT `DT_node_lookup_63`.`KEY` AS `KEY`, `DT_node_lookup_63`.node_id_2 AS node_id_2, `DT_node_data_63`.node_id AS node_id, `DT_node_data_63`.feature AS feature, `DT_node_data_63`.threshold AS threshold, `DT_node_data_63`.count AS count, `DT_node_data_63`.depth AS depth, `DT_node_data_63`.parent_id AS parent_id, `DT_node_data_63`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_63` LEFT OUTER JOIN `DT_node_data_63` ON `DT_node_lookup_63`.node_id_2 = `DT_node_data_63`.node_id), 
`GB_Tree_21_0` AS 
(SELECT `DT_Output_63`.`KEY` AS `KEY`, `DT_Output_63`.`Estimator` AS `Score_0`, 0.0 AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_63`), 
`DT_node_lookup_64` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.949999809265137) THEN CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 2 ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN 4 ELSE 5 END END ELSE CASE WHEN (`ADS`.`Feature_1` <= 2.549999952316284) THEN CASE WHEN (`ADS`.`Feature_1` <= 2.3499999046325684) THEN 8 ELSE 9 END ELSE CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN 11 ELSE 12 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_64` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 2 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 2 AS depth, 1 AS parent_id, -0.6822118931186782 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 38 AS count, 3 AS depth, 3 AS parent_id, 0.7060330035700659 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 6 AS count, 3 AS depth, 3 AS parent_id, -0.08365376489457474 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 7 AS parent_id, -0.7344708988528973 AS `Estimator` UNION ALL SELECT 9 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 7 AS parent_id, -0.7029085496204796 AS `Estimator` UNION ALL SELECT 11 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 10 AS parent_id, 0.8029883834664088 AS `Estimator` UNION ALL SELECT 12 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 34 AS count, 3 AS depth, 10 AS parent_id, -0.6854317361436872 AS `Estimator`) AS `Values`), 
`DT_Output_64` AS 
(SELECT `DT_node_lookup_64`.`KEY` AS `KEY`, `DT_node_lookup_64`.node_id_2 AS node_id_2, `DT_node_data_64`.node_id AS node_id, `DT_node_data_64`.feature AS feature, `DT_node_data_64`.threshold AS threshold, `DT_node_data_64`.count AS count, `DT_node_data_64`.depth AS depth, `DT_node_data_64`.parent_id AS parent_id, `DT_node_data_64`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_64` LEFT OUTER JOIN `DT_node_data_64` ON `DT_node_lookup_64`.node_id_2 = `DT_node_data_64`.node_id), 
`GB_Tree_21_1` AS 
(SELECT `DT_Output_64`.`KEY` AS `KEY`, 0.0 AS `Score_0`, `DT_Output_64`.`Estimator` AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_64`), 
`DT_node_lookup_65` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.850000381469727) THEN CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 3 ELSE 4 END ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.0999999046325684) THEN 6 ELSE 7 END END ELSE CASE WHEN (`ADS`.`Feature_1` <= 2.3499999046325684) THEN 9 ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.75) THEN 11 ELSE 12 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_65` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 3 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 3 AS depth, 2 AS parent_id, -0.6824769523753814 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 36 AS count, 3 AS depth, 2 AS parent_id, -0.683152769417749 AS `Estimator` UNION ALL SELECT 6 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 5 AS parent_id, 0.7385906182729186 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 5 AS parent_id, -0.7901623261429878 AS `Estimator` UNION ALL SELECT 9 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 2 AS depth, 8 AS parent_id, 0.7754366254343479 AS `Estimator` UNION ALL SELECT 11 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 6 AS count, 3 AS depth, 10 AS parent_id, -0.07232828489467248 AS `Estimator` UNION ALL SELECT 12 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 3 AS depth, 10 AS parent_id, 0.704994856610229 AS `Estimator`) AS `Values`), 
`DT_Output_65` AS 
(SELECT `DT_node_lookup_65`.`KEY` AS `KEY`, `DT_node_lookup_65`.node_id_2 AS node_id_2, `DT_node_data_65`.node_id AS node_id, `DT_node_data_65`.feature AS feature, `DT_node_data_65`.threshold AS threshold, `DT_node_data_65`.count AS count, `DT_node_data_65`.depth AS depth, `DT_node_data_65`.parent_id AS parent_id, `DT_node_data_65`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_65` LEFT OUTER JOIN `DT_node_data_65` ON `DT_node_lookup_65`.node_id_2 = `DT_node_data_65`.node_id), 
`GB_Tree_21_2` AS 
(SELECT `DT_Output_65`.`KEY` AS `KEY`, 0.0 AS `Score_0`, 0.0 AS `Score_1`, `DT_Output_65`.`Estimator` AS `Score_2` 
FROM `DT_Output_65`), 
`DT_node_lookup_66` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 1 ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.1500000953674316) THEN CASE WHEN (`ADS`.`Feature_2` <= 4.949999809265137) THEN 4 ELSE 5 END ELSE CASE WHEN (`ADS`.`Feature_0` <= 5.949999809265137) THEN 7 ELSE 8 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_66` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 1 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 1 AS depth, 0 AS parent_id, 0.6966354743619915 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 39 AS count, 3 AS depth, 3 AS parent_id, -0.6810115093608388 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 27 AS count, 3 AS depth, 3 AS parent_id, -0.6855252845709001 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 6 AS parent_id, -0.7827274445242555 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 16 AS count, 3 AS depth, 6 AS parent_id, -0.680986898860532 AS `Estimator`) AS `Values`), 
`DT_Output_66` AS 
(SELECT `DT_node_lookup_66`.`KEY` AS `KEY`, `DT_node_lookup_66`.node_id_2 AS node_id_2, `DT_node_data_66`.node_id AS node_id, `DT_node_data_66`.feature AS feature, `DT_node_data_66`.threshold AS threshold, `DT_node_data_66`.count AS count, `DT_node_data_66`.depth AS depth, `DT_node_data_66`.parent_id AS parent_id, `DT_node_data_66`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_66` LEFT OUTER JOIN `DT_node_data_66` ON `DT_node_lookup_66`.node_id_2 = `DT_node_data_66`.node_id), 
`GB_Tree_22_0` AS 
(SELECT `DT_Output_66`.`KEY` AS `KEY`, `DT_Output_66`.`Estimator` AS `Score_0`, 0.0 AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_66`), 
`DT_node_lookup_67` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.949999809265137) THEN CASE WHEN (`ADS`.`Feature_2` <= 2.450000047683716) THEN 2 ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.049999952316284) THEN 4 ELSE 5 END END ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN CASE WHEN (`ADS`.`Feature_1` <= 2.[REDACTED]) THEN 8 ELSE 9 END ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.75) THEN 11 ELSE 12 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_67` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 2 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 2 AS depth, 1 AS parent_id, -0.6802510775044036 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 36 AS count, 3 AS depth, 3 AS parent_id, 0.42384184871490965 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 8 AS count, 3 AS depth, 3 AS parent_id, 0.794843296146003 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 7 AS parent_id, -0.7254400276456221 AS `Estimator` UNION ALL SELECT 9 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 7 AS parent_id, -0.6957383750713187 AS `Estimator` UNION ALL SELECT 11 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 10 AS parent_id, 0.7901148176979259 AS `Estimator` UNION ALL SELECT 12 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 34 AS count, 3 AS depth, 10 AS parent_id, -0.6838550006294584 AS `Estimator`) AS `Values`), 
`DT_Output_67` AS 
(SELECT `DT_node_lookup_67`.`KEY` AS `KEY`, `DT_node_lookup_67`.node_id_2 AS node_id_2, `DT_node_data_67`.node_id AS node_id, `DT_node_data_67`.feature AS feature, `DT_node_data_67`.threshold AS threshold, `DT_node_data_67`.count AS count, `DT_node_data_67`.depth AS depth, `DT_node_data_67`.parent_id AS parent_id, `DT_node_data_67`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_67` LEFT OUTER JOIN `DT_node_data_67` ON `DT_node_lookup_67`.node_id_2 = `DT_node_data_67`.node_id), 
`GB_Tree_22_1` AS 
(SELECT `DT_Output_67`.`KEY` AS `KEY`, 0.0 AS `Score_0`, `DT_Output_67`.`Estimator` AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_67`), 
`DT_node_lookup_68` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.850000381469727) THEN CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN CASE WHEN (`ADS`.`Feature_1` <= 3.049999952316284) THEN 3 ELSE 4 END ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.0999999046325684) THEN 6 ELSE 7 END END ELSE CASE WHEN (`ADS`.`Feature_0` <= 6.149999618530273) THEN CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN 10 ELSE 11 END ELSE CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN 13 ELSE 14 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_68` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 3 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 35 AS count, 3 AS depth, 2 AS parent_id, -0.6813997690969457 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 38 AS count, 3 AS depth, 2 AS parent_id, -0.6804844096457088 AS `Estimator` UNION ALL SELECT 6 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 5 AS parent_id, 0.7349426655490852 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 5 AS parent_id, -0.7748012145818122 AS `Estimator` UNION ALL SELECT 10 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 4 AS count, 3 AS depth, 9 AS parent_id, 0.7368315922081989 AS `Estimator` UNION ALL SELECT 11 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 4 AS count, 3 AS depth, 9 AS parent_id, 0.7000204942476422 AS `Estimator` UNION ALL SELECT 13 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 5 AS count, 3 AS depth, 12 AS parent_id, -0.2147402194370987 AS `Estimator` UNION ALL SELECT 14 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 31 AS count, 3 AS depth, 12 AS parent_id, 0.6984042566455516 AS `Estimator`) AS `Values`), 
`DT_Output_68` AS 
(SELECT `DT_node_lookup_68`.`KEY` AS `KEY`, `DT_node_lookup_68`.node_id_2 AS node_id_2, `DT_node_data_68`.node_id AS node_id, `DT_node_data_68`.feature AS feature, `DT_node_data_68`.threshold AS threshold, `DT_node_data_68`.count AS count, `DT_node_data_68`.depth AS depth, `DT_node_data_68`.parent_id AS parent_id, `DT_node_data_68`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_68` LEFT OUTER JOIN `DT_node_data_68` ON `DT_node_lookup_68`.node_id_2 = `DT_node_data_68`.node_id), 
`GB_Tree_22_2` AS 
(SELECT `DT_Output_68`.`KEY` AS `KEY`, 0.0 AS `Score_0`, 0.0 AS `Score_1`, `DT_Output_68`.`Estimator` AS `Score_2` 
FROM `DT_Output_68`), 
`DT_node_lookup_69` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 2.450000047683716) THEN 1 ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.1500000953674316) THEN CASE WHEN (`ADS`.`Feature_1` <= 2.25) THEN 4 ELSE 5 END ELSE CASE WHEN (`ADS`.`Feature_0` <= 5.949999809265137) THEN 7 ELSE 8 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_69` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 1 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 1 AS depth, 0 AS parent_id, 0.6927801153662619 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 3 AS parent_id, -0.6892526049986986 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 63 AS count, 3 AS depth, 3 AS parent_id, -0.6806112605856021 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 6 AS parent_id, -0.7683232134189366 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 16 AS count, 3 AS depth, 6 AS parent_id, -0.6791490212119262 AS `Estimator`) AS `Values`), 
`DT_Output_69` AS 
(SELECT `DT_node_lookup_69`.`KEY` AS `KEY`, `DT_node_lookup_69`.node_id_2 AS node_id_2, `DT_node_data_69`.node_id AS node_id, `DT_node_data_69`.feature AS feature, `DT_node_data_69`.threshold AS threshold, `DT_node_data_69`.count AS count, `DT_node_data_69`.depth AS depth, `DT_node_data_69`.parent_id AS parent_id, `DT_node_data_69`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_69` LEFT OUTER JOIN `DT_node_data_69` ON `DT_node_lookup_69`.node_id_2 = `DT_node_data_69`.node_id), 
`GB_Tree_23_0` AS 
(SELECT `DT_Output_69`.`KEY` AS `KEY`, `DT_Output_69`.`Estimator` AS `Score_0`, 0.0 AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_69`), 
`DT_node_lookup_70` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.949999809265137) THEN CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 2 ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN 4 ELSE 5 END END ELSE CASE WHEN (`ADS`.`Feature_1` <= 2.549999952316284) THEN CASE WHEN (`ADS`.`Feature_0` <= 6.5) THEN 8 ELSE 9 END ELSE CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN 11 ELSE 12 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_70` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 2 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 2 AS depth, 1 AS parent_id, -0.6785397935681763 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 38 AS count, 3 AS depth, 3 AS parent_id, 0.6981120055202472 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 6 AS count, 3 AS depth, 3 AS parent_id, -0.1127740454235981 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 7 AS parent_id, -0.7070469531378618 AS `Estimator` UNION ALL SELECT 9 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 7 AS parent_id, -0.679373291009323 AS `Estimator` UNION ALL SELECT 11 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 10 AS parent_id, 0.7773700662347124 AS `Estimator` UNION ALL SELECT 12 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 34 AS count, 3 AS depth, 10 AS parent_id, -0.6813794346224461 AS `Estimator`) AS `Values`), 
`DT_Output_70` AS 
(SELECT `DT_node_lookup_70`.`KEY` AS `KEY`, `DT_node_lookup_70`.node_id_2 AS node_id_2, `DT_node_data_70`.node_id AS node_id, `DT_node_data_70`.feature AS feature, `DT_node_data_70`.threshold AS threshold, `DT_node_data_70`.count AS count, `DT_node_data_70`.depth AS depth, `DT_node_data_70`.parent_id AS parent_id, `DT_node_data_70`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_70` LEFT OUTER JOIN `DT_node_data_70` ON `DT_node_lookup_70`.node_id_2 = `DT_node_data_70`.node_id), 
`GB_Tree_23_1` AS 
(SELECT `DT_Output_70`.`KEY` AS `KEY`, 0.0 AS `Score_0`, `DT_Output_70`.`Estimator` AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_70`), 
`DT_node_lookup_71` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.850000381469727) THEN CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN CASE WHEN (`ADS`.`Feature_1` <= 3.049999952316284) THEN 3 ELSE 4 END ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.0999999046325684) THEN 6 ELSE 7 END END ELSE CASE WHEN (`ADS`.`Feature_0` <= 6.149999618530273) THEN CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN 10 ELSE 11 END ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.75) THEN 13 ELSE 14 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_71` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 3 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 35 AS count, 3 AS depth, 2 AS parent_id, -0.6795347716741068 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 38 AS count, 3 AS depth, 2 AS parent_id, -0.6787397337462074 AS `Estimator` UNION ALL SELECT 6 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 5 AS parent_id, 0.7287831585482392 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 5 AS parent_id, -0.7688609812154343 AS `Estimator` UNION ALL SELECT 10 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 4 AS count, 3 AS depth, 9 AS parent_id, 0.7287166178852784 AS `Estimator` UNION ALL SELECT 11 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 4 AS count, 3 AS depth, 9 AS parent_id, 0.6957374750160155 AS `Estimator` UNION ALL SELECT 13 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 5 AS count, 3 AS depth, 12 AS parent_id, -0.19512995301285502 AS `Estimator` UNION ALL SELECT 14 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 31 AS count, 3 AS depth, 12 AS parent_id, 0.6946134122364431 AS `Estimator`) AS `Values`), 
`DT_Output_71` AS 
(SELECT `DT_node_lookup_71`.`KEY` AS `KEY`, `DT_node_lookup_71`.node_id_2 AS node_id_2, `DT_node_data_71`.node_id AS node_id, `DT_node_data_71`.feature AS feature, `DT_node_data_71`.threshold AS threshold, `DT_node_data_71`.count AS count, `DT_node_data_71`.depth AS depth, `DT_node_data_71`.parent_id AS parent_id, `DT_node_data_71`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_71` LEFT OUTER JOIN `DT_node_data_71` ON `DT_node_lookup_71`.node_id_2 = `DT_node_data_71`.node_id), 
`GB_Tree_23_2` AS 
(SELECT `DT_Output_71`.`KEY` AS `KEY`, 0.0 AS `Score_0`, 0.0 AS `Score_1`, `DT_Output_71`.`Estimator` AS `Score_2` 
FROM `DT_Output_71`), 
`DT_node_lookup_72` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 2.450000047683716) THEN 1 ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.1500000953674316) THEN CASE WHEN (`ADS`.`Feature_1` <= 2.25) THEN 4 ELSE 5 END ELSE CASE WHEN (`ADS`.`Feature_0` <= 5.949999809265137) THEN 7 ELSE 8 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_72` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 1 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 1 AS depth, 0 AS parent_id, 0.6894334586912658 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 3 AS parent_id, -0.6864827552433658 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 63 AS count, 3 AS depth, 3 AS parent_id, -0.6790676658569036 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 6 AS parent_id, -0.7627910450545332 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 16 AS count, 3 AS depth, 6 AS parent_id, -0.6775727992811375 AS `Estimator`) AS `Values`), 
`DT_Output_72` AS 
(SELECT `DT_node_lookup_72`.`KEY` AS `KEY`, `DT_node_lookup_72`.node_id_2 AS node_id_2, `DT_node_data_72`.node_id AS node_id, `DT_node_data_72`.feature AS feature, `DT_node_data_72`.threshold AS threshold, `DT_node_data_72`.count AS count, `DT_node_data_72`.depth AS depth, `DT_node_data_72`.parent_id AS parent_id, `DT_node_data_72`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_72` LEFT OUTER JOIN `DT_node_data_72` ON `DT_node_lookup_72`.node_id_2 = `DT_node_data_72`.node_id), 
`GB_Tree_24_0` AS 
(SELECT `DT_Output_72`.`KEY` AS `KEY`, `DT_Output_72`.`Estimator` AS `Score_0`, 0.0 AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_72`), 
`DT_node_lookup_73` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 2 ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.8499999046325684) THEN 4 ELSE 5 END END ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.7000000476837158) THEN CASE WHEN (`ADS`.`Feature_3` <= 1.4500000476837158) THEN 8 ELSE 9 END ELSE 10 END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_73` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 2 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 2 AS depth, 1 AS parent_id, -0.6770457728528297 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 45 AS count, 3 AS depth, 3 AS parent_id, 0.49735449243648405 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 3 AS parent_id, -0.7008308867396172 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 7 AS parent_id, -0.6843052190550417 AS `Estimator` UNION ALL SELECT 9 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 7 AS parent_id, -0.692819147015047 AS `Estimator` UNION ALL SELECT 10 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 32 AS count, 2 AS depth, 6 AS parent_id, -0.6778052243513705 AS `Estimator`) AS `Values`), 
`DT_Output_73` AS 
(SELECT `DT_node_lookup_73`.`KEY` AS `KEY`, `DT_node_lookup_73`.node_id_2 AS node_id_2, `DT_node_data_73`.node_id AS node_id, `DT_node_data_73`.feature AS feature, `DT_node_data_73`.threshold AS threshold, `DT_node_data_73`.count AS count, `DT_node_data_73`.depth AS depth, `DT_node_data_73`.parent_id AS parent_id, `DT_node_data_73`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_73` LEFT OUTER JOIN `DT_node_data_73` ON `DT_node_lookup_73`.node_id_2 = `DT_node_data_73`.node_id), 
`GB_Tree_24_1` AS 
(SELECT `DT_Output_73`.`KEY` AS `KEY`, 0.0 AS `Score_0`, `DT_Output_73`.`Estimator` AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_73`), 
`DT_node_lookup_74` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.850000381469727) THEN CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 3 ELSE 4 END ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.0999999046325684) THEN 6 ELSE 7 END END ELSE CASE WHEN (`ADS`.`Feature_0` <= 6.149999618530273) THEN CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN 10 ELSE 11 END ELSE CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN 13 ELSE 14 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_74` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 3 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 3 AS depth, 2 AS parent_id, -0.6772150297388142 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 36 AS count, 3 AS depth, 2 AS parent_id, -0.6781124700273946 AS `Estimator` UNION ALL SELECT 6 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 5 AS parent_id, 0.7262183762000927 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 5 AS parent_id, -0.758267402229914 AS `Estimator` UNION ALL SELECT 10 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 4 AS count, 3 AS depth, 9 AS parent_id, 0.7239293659970085 AS `Estimator` UNION ALL SELECT 11 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 4 AS count, 3 AS depth, 9 AS parent_id, 0.6920151768793178 AS `Estimator` UNION ALL SELECT 13 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 5 AS count, 3 AS depth, 12 AS parent_id, -0.196156635392175 AS `Estimator` UNION ALL SELECT 14 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 31 AS count, 3 AS depth, 12 AS parent_id, 0.6916119750800674 AS `Estimator`) AS `Values`), 
`DT_Output_74` AS 
(SELECT `DT_node_lookup_74`.`KEY` AS `KEY`, `DT_node_lookup_74`.node_id_2 AS node_id_2, `DT_node_data_74`.node_id AS node_id, `DT_node_data_74`.feature AS feature, `DT_node_data_74`.threshold AS threshold, `DT_node_data_74`.count AS count, `DT_node_data_74`.depth AS depth, `DT_node_data_74`.parent_id AS parent_id, `DT_node_data_74`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_74` LEFT OUTER JOIN `DT_node_data_74` ON `DT_node_lookup_74`.node_id_2 = `DT_node_data_74`.node_id), 
`GB_Tree_24_2` AS 
(SELECT `DT_Output_74`.`KEY` AS `KEY`, 0.0 AS `Score_0`, 0.0 AS `Score_1`, `DT_Output_74`.`Estimator` AS `Score_2` 
FROM `DT_Output_74`), 
`DT_node_lookup_75` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 1 ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.1500000953674316) THEN CASE WHEN (`ADS`.`Feature_3` <= 1.75) THEN 4 ELSE 5 END ELSE CASE WHEN (`ADS`.`Feature_0` <= 5.949999809265137) THEN 7 ELSE 8 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_75` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 1 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 1 AS depth, 0 AS parent_id, 0.6865254527887887 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 40 AS count, 3 AS depth, 3 AS parent_id, -0.6790373066631602 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 26 AS count, 3 AS depth, 3 AS parent_id, -0.6761802017289105 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 6 AS parent_id, -0.7528565935935635 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 16 AS count, 3 AS depth, 6 AS parent_id, -0.6762418478741816 AS `Estimator`) AS `Values`), 
`DT_Output_75` AS 
(SELECT `DT_node_lookup_75`.`KEY` AS `KEY`, `DT_node_lookup_75`.node_id_2 AS node_id_2, `DT_node_data_75`.node_id AS node_id, `DT_node_data_75`.feature AS feature, `DT_node_data_75`.threshold AS threshold, `DT_node_data_75`.count AS count, `DT_node_data_75`.depth AS depth, `DT_node_data_75`.parent_id AS parent_id, `DT_node_data_75`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_75` LEFT OUTER JOIN `DT_node_data_75` ON `DT_node_lookup_75`.node_id_2 = `DT_node_data_75`.node_id), 
`GB_Tree_25_0` AS 
(SELECT `DT_Output_75`.`KEY` AS `KEY`, `DT_Output_75`.`Estimator` AS `Score_0`, 0.0 AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_75`), 
`DT_node_lookup_76` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.850000381469727) THEN CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 2 ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.1500000953674316) THEN 4 ELSE 5 END END ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.75) THEN CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN 8 ELSE 9 END ELSE CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN 11 ELSE 12 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_76` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 2 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 2 AS depth, 1 AS parent_id, -0.6757410394620078 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 34 AS count, 3 AS depth, 3 AS parent_id, 0.5273538384144519 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 5 AS count, 3 AS depth, 3 AS parent_id, 0.789884977639561 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 4 AS count, 3 AS depth, 7 AS parent_id, 0.471568129831084 AS `Estimator` UNION ALL SELECT 9 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 7 AS parent_id, -0.6876344794027143 AS `Estimator` UNION ALL SELECT 11 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 5 AS count, 3 AS depth, 10 AS parent_id, -0.704980313709823 AS `Estimator` UNION ALL SELECT 12 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 32 AS count, 3 AS depth, 10 AS parent_id, -0.6763988676939595 AS `Estimator`) AS `Values`), 
`DT_Output_76` AS 
(SELECT `DT_node_lookup_76`.`KEY` AS `KEY`, `DT_node_lookup_76`.node_id_2 AS node_id_2, `DT_node_data_76`.node_id AS node_id, `DT_node_data_76`.feature AS feature, `DT_node_data_76`.threshold AS threshold, `DT_node_data_76`.count AS count, `DT_node_data_76`.depth AS depth, `DT_node_data_76`.parent_id AS parent_id, `DT_node_data_76`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_76` LEFT OUTER JOIN `DT_node_data_76` ON `DT_node_lookup_76`.node_id_2 = `DT_node_data_76`.node_id), 
`GB_Tree_25_1` AS 
(SELECT `DT_Output_76`.`KEY` AS `KEY`, 0.0 AS `Score_0`, `DT_Output_76`.`Estimator` AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_76`), 
`DT_node_lookup_77` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.850000381469727) THEN CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 3 ELSE 4 END ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.0999999046325684) THEN 6 ELSE 7 END END ELSE CASE WHEN (`ADS`.`Feature_1` <= 2.3499999046325684) THEN 9 ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.75) THEN 11 ELSE 12 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_77` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 3 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 3 AS depth, 2 AS parent_id, -0.6758873914141524 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 36 AS count, 3 AS depth, 2 AS parent_id, -0.6768067661030593 AS `Estimator` UNION ALL SELECT 6 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 5 AS parent_id, 0.7240263189836917 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 5 AS parent_id, -0.7466043993634383 AS `Estimator` UNION ALL SELECT 9 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 2 AS depth, 8 AS parent_id, 0.737822741344479 AS `Estimator` UNION ALL SELECT 11 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 6 AS count, 3 AS depth, 10 AS parent_id, -0.11041162733171803 AS `Estimator` UNION ALL SELECT 12 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 3 AS depth, 10 AS parent_id, 0.6917356719342836 AS `Estimator`) AS `Values`), 
`DT_Output_77` AS 
(SELECT `DT_node_lookup_77`.`KEY` AS `KEY`, `DT_node_lookup_77`.node_id_2 AS node_id_2, `DT_node_data_77`.node_id AS node_id, `DT_node_data_77`.feature AS feature, `DT_node_data_77`.threshold AS threshold, `DT_node_data_77`.count AS count, `DT_node_data_77`.depth AS depth, `DT_node_data_77`.parent_id AS parent_id, `DT_node_data_77`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_77` LEFT OUTER JOIN `DT_node_data_77` ON `DT_node_lookup_77`.node_id_2 = `DT_node_data_77`.node_id), 
`GB_Tree_25_2` AS 
(SELECT `DT_Output_77`.`KEY` AS `KEY`, 0.0 AS `Score_0`, 0.0 AS `Score_1`, `DT_Output_77`.`Estimator` AS `Score_2` 
FROM `DT_Output_77`), 
`DT_node_lookup_78` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 2.450000047683716) THEN 1 ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.8499999046325684) THEN CASE WHEN (`ADS`.`Feature_1` <= 3.1500000953674316) THEN 4 ELSE 5 END ELSE CASE WHEN (`ADS`.`Feature_0` <= 5.75) THEN 7 ELSE 8 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_78` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 1 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 1 AS depth, 0 AS parent_id, 0.6839962058672683 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 48 AS count, 3 AS depth, 3 AS parent_id, -0.6774409303411031 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 6 AS count, 3 AS depth, 3 AS parent_id, -0.7151702342917938 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 6 AS parent_id, -0.6742968091691547 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 27 AS count, 3 AS depth, 6 AS parent_id, -0.6751002171186264 AS `Estimator`) AS `Values`), 
`DT_Output_78` AS 
(SELECT `DT_node_lookup_78`.`KEY` AS `KEY`, `DT_node_lookup_78`.node_id_2 AS node_id_2, `DT_node_data_78`.node_id AS node_id, `DT_node_data_78`.feature AS feature, `DT_node_data_78`.threshold AS threshold, `DT_node_data_78`.count AS count, `DT_node_data_78`.depth AS depth, `DT_node_data_78`.parent_id AS parent_id, `DT_node_data_78`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_78` LEFT OUTER JOIN `DT_node_data_78` ON `DT_node_lookup_78`.node_id_2 = `DT_node_data_78`.node_id), 
`GB_Tree_26_0` AS 
(SELECT `DT_Output_78`.`KEY` AS `KEY`, `DT_Output_78`.`Estimator` AS `Score_0`, 0.0 AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_78`), 
`DT_node_lookup_79` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 2 ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.8499999046325684) THEN 4 ELSE 5 END END ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.7000000476837158) THEN CASE WHEN (`ADS`.`Feature_1` <= 2.6999998092651367) THEN 8 ELSE 9 END ELSE 10 END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_79` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 2 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 2 AS depth, 1 AS parent_id, -0.6746013127028164 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 45 AS count, 3 AS depth, 3 AS parent_id, 0.4620405126276017 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 3 AS parent_id, -0.693131953935667 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 7 AS parent_id, -0.6812384686123687 AS `Estimator` UNION ALL SELECT 9 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 7 AS parent_id, -0.6883003931842149 AS `Estimator` UNION ALL SELECT 10 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 32 AS count, 2 AS depth, 6 AS parent_id, -0.6751690892029715 AS `Estimator`) AS `Values`), 
`DT_Output_79` AS 
(SELECT `DT_node_lookup_79`.`KEY` AS `KEY`, `DT_node_lookup_79`.node_id_2 AS node_id_2, `DT_node_data_79`.node_id AS node_id, `DT_node_data_79`.feature AS feature, `DT_node_data_79`.threshold AS threshold, `DT_node_data_79`.count AS count, `DT_node_data_79`.depth AS depth, `DT_node_data_79`.parent_id AS parent_id, `DT_node_data_79`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_79` LEFT OUTER JOIN `DT_node_data_79` ON `DT_node_lookup_79`.node_id_2 = `DT_node_data_79`.node_id), 
`GB_Tree_26_1` AS 
(SELECT `DT_Output_79`.`KEY` AS `KEY`, 0.0 AS `Score_0`, `DT_Output_79`.`Estimator` AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_79`), 
`DT_node_lookup_80` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.850000381469727) THEN CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 3 ELSE 4 END ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.0999999046325684) THEN 6 ELSE 7 END END ELSE CASE WHEN (`ADS`.`Feature_1` <= 2.3499999046325684) THEN 9 ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.75) THEN 11 ELSE 12 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_80` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 3 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 3 AS depth, 2 AS parent_id, -0.6747280447459192 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 36 AS count, 3 AS depth, 2 AS parent_id, -0.6757285423596471 AS `Estimator` UNION ALL SELECT 6 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 5 AS parent_id, 0.7217089829149334 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 5 AS parent_id, -0.7384015920337799 AS `Estimator` UNION ALL SELECT 9 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 2 AS depth, 8 AS parent_id, 0.7334109998208049 AS `Estimator` UNION ALL SELECT 11 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 6 AS count, 3 AS depth, 10 AS parent_id, -0.11097013731920634 AS `Estimator` UNION ALL SELECT 12 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 3 AS depth, 10 AS parent_id, 0.6894246773523806 AS `Estimator`) AS `Values`), 
`DT_Output_80` AS 
(SELECT `DT_node_lookup_80`.`KEY` AS `KEY`, `DT_node_lookup_80`.node_id_2 AS node_id_2, `DT_node_data_80`.node_id AS node_id, `DT_node_data_80`.feature AS feature, `DT_node_data_80`.threshold AS threshold, `DT_node_data_80`.count AS count, `DT_node_data_80`.depth AS depth, `DT_node_data_80`.parent_id AS parent_id, `DT_node_data_80`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_80` LEFT OUTER JOIN `DT_node_data_80` ON `DT_node_lookup_80`.node_id_2 = `DT_node_data_80`.node_id), 
`GB_Tree_26_2` AS 
(SELECT `DT_Output_80`.`KEY` AS `KEY`, 0.0 AS `Score_0`, 0.0 AS `Score_1`, `DT_Output_80`.`Estimator` AS `Score_2` 
FROM `DT_Output_80`), 
`DT_node_lookup_81` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 2.450000047683716) THEN 1 ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.8499999046325684) THEN CASE WHEN (`ADS`.`Feature_1` <= 3.1500000953674316) THEN 4 ELSE 5 END ELSE CASE WHEN (`ADS`.`Feature_0` <= 5.75) THEN 7 ELSE 8 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_81` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 1 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 1 AS depth, 0 AS parent_id, 0.6817946522453617 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 48 AS count, 3 AS depth, 3 AS parent_id, -0.6764427092983397 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 6 AS count, 3 AS depth, 3 AS parent_id, -0.7107685597269963 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 6 AS parent_id, -0.6733562486512303 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 27 AS count, 3 AS depth, 6 AS parent_id, -0.6740376525004242 AS `Estimator`) AS `Values`), 
`DT_Output_81` AS 
(SELECT `DT_node_lookup_81`.`KEY` AS `KEY`, `DT_node_lookup_81`.node_id_2 AS node_id_2, `DT_node_data_81`.node_id AS node_id, `DT_node_data_81`.feature AS feature, `DT_node_data_81`.threshold AS threshold, `DT_node_data_81`.count AS count, `DT_node_data_81`.depth AS depth, `DT_node_data_81`.parent_id AS parent_id, `DT_node_data_81`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_81` LEFT OUTER JOIN `DT_node_data_81` ON `DT_node_lookup_81`.node_id_2 = `DT_node_data_81`.node_id), 
`GB_Tree_27_0` AS 
(SELECT `DT_Output_81`.`KEY` AS `KEY`, `DT_Output_81`.`Estimator` AS `Score_0`, 0.0 AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_81`), 
`DT_node_lookup_82` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN CASE WHEN (`ADS`.`Feature_2` <= 2.450000047683716) THEN 2 ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.8499999046325684) THEN 4 ELSE 5 END END ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.7000000476837158) THEN CASE WHEN (`ADS`.`Feature_1` <= 2.6999998092651367) THEN 8 ELSE 9 END ELSE 10 END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_82` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 2 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 2 AS depth, 1 AS parent_id, -0.6736054939701307 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 45 AS count, 3 AS depth, 3 AS parent_id, 0.44372510392705894 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 3 AS parent_id, -0.6897565276531299 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 7 AS parent_id, -0.6804461977268289 AS `Estimator` UNION ALL SELECT 9 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 7 AS parent_id, -0.6871209469941951 AS `Estimator` UNION ALL SELECT 10 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 32 AS count, 2 AS depth, 6 AS parent_id, -0.6740956911693649 AS `Estimator`) AS `Values`), 
`DT_Output_82` AS 
(SELECT `DT_node_lookup_82`.`KEY` AS `KEY`, `DT_node_lookup_82`.node_id_2 AS node_id_2, `DT_node_data_82`.node_id AS node_id, `DT_node_data_82`.feature AS feature, `DT_node_data_82`.threshold AS threshold, `DT_node_data_82`.count AS count, `DT_node_data_82`.depth AS depth, `DT_node_data_82`.parent_id AS parent_id, `DT_node_data_82`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_82` LEFT OUTER JOIN `DT_node_data_82` ON `DT_node_lookup_82`.node_id_2 = `DT_node_data_82`.node_id), 
`GB_Tree_27_1` AS 
(SELECT `DT_Output_82`.`KEY` AS `KEY`, 0.0 AS `Score_0`, `DT_Output_82`.`Estimator` AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_82`), 
`DT_node_lookup_83` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.850000381469727) THEN CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN CASE WHEN (`ADS`.`Feature_2` <= 2.450000047683716) THEN 3 ELSE 4 END ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.0999999046325684) THEN 6 ELSE 7 END END ELSE CASE WHEN (`ADS`.`Feature_1` <= 2.3499999046325684) THEN 9 ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.75) THEN 11 ELSE 12 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_83` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 3 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 3 AS depth, 2 AS parent_id, -0.67371537808111 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 36 AS count, 3 AS depth, 2 AS parent_id, -0.6747792512479954 AS `Estimator` UNION ALL SELECT 6 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 5 AS parent_id, 0.7194881928055216 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 5 AS parent_id, -0.7311165526978587 AS `Estimator` UNION ALL SELECT 9 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 2 AS depth, 8 AS parent_id, 0.7293931967681412 AS `Estimator` UNION ALL SELECT 11 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 6 AS count, 3 AS depth, 10 AS parent_id, -0.11198633157148252 AS `Estimator` UNION ALL SELECT 12 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 3 AS depth, 10 AS parent_id, 0.6874673712972269 AS `Estimator`) AS `Values`), 
`DT_Output_83` AS 
(SELECT `DT_node_lookup_83`.`KEY` AS `KEY`, `DT_node_lookup_83`.node_id_2 AS node_id_2, `DT_node_data_83`.node_id AS node_id, `DT_node_data_83`.feature AS feature, `DT_node_data_83`.threshold AS threshold, `DT_node_data_83`.count AS count, `DT_node_data_83`.depth AS depth, `DT_node_data_83`.parent_id AS parent_id, `DT_node_data_83`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_83` LEFT OUTER JOIN `DT_node_data_83` ON `DT_node_lookup_83`.node_id_2 = `DT_node_data_83`.node_id), 
`GB_Tree_27_2` AS 
(SELECT `DT_Output_83`.`KEY` AS `KEY`, 0.0 AS `Score_0`, 0.0 AS `Score_1`, `DT_Output_83`.`Estimator` AS `Score_2` 
FROM `DT_Output_83`), 
`DT_node_lookup_84` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 1 ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.8499999046325684) THEN CASE WHEN (`ADS`.`Feature_1` <= 3.1500000953674316) THEN 4 ELSE 5 END ELSE CASE WHEN (`ADS`.`Feature_0` <= 5.75) THEN 7 ELSE 8 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_84` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 1 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 1 AS depth, 0 AS parent_id, 0.6798770195086145 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 48 AS count, 3 AS depth, 3 AS parent_id, -0.6755690850651821 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 6 AS count, 3 AS depth, 3 AS parent_id, -0.7067594059509829 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 6 AS parent_id, -0.672529724730798 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 27 AS count, 3 AS depth, 6 AS parent_id, -0.6731094424510894 AS `Estimator`) AS `Values`), 
`DT_Output_84` AS 
(SELECT `DT_node_lookup_84`.`KEY` AS `KEY`, `DT_node_lookup_84`.node_id_2 AS node_id_2, `DT_node_data_84`.node_id AS node_id, `DT_node_data_84`.feature AS feature, `DT_node_data_84`.threshold AS threshold, `DT_node_data_84`.count AS count, `DT_node_data_84`.depth AS depth, `DT_node_data_84`.parent_id AS parent_id, `DT_node_data_84`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_84` LEFT OUTER JOIN `DT_node_data_84` ON `DT_node_lookup_84`.node_id_2 = `DT_node_data_84`.node_id), 
`GB_Tree_28_0` AS 
(SELECT `DT_Output_84`.`KEY` AS `KEY`, `DT_Output_84`.`Estimator` AS `Score_0`, 0.0 AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_84`), 
`DT_node_lookup_85` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_3` <= 1.75) THEN CASE WHEN (`ADS`.`Feature_2` <= 2.450000047683716) THEN 2 ELSE CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN 4 ELSE 5 END END ELSE CASE WHEN (`ADS`.`Feature_2` <= 4.850000381469727) THEN CASE WHEN (`ADS`.`Feature_1` <= 3.0999999046325684) THEN 8 ELSE 9 END ELSE CASE WHEN (`ADS`.`Feature_2` <= 4.949999809265137) THEN 11 ELSE 12 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_85` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 2 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 2 AS depth, 1 AS parent_id, -0.6727352357375276 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 41 AS count, 3 AS depth, 3 AS parent_id, 0.5401722899867676 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 3 AS parent_id, -0.6843961366475293 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 7 AS parent_id, -0.7046187691413052 AS `Estimator` UNION ALL SELECT 9 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 7 AS parent_id, 0.7950833630315146 AS `Estimator` UNION ALL SELECT 11 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 10 AS parent_id, -0.701725122428525 AS `Estimator` UNION ALL SELECT 12 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 34 AS count, 3 AS depth, 10 AS parent_id, -0.6746084270669648 AS `Estimator`) AS `Values`), 
`DT_Output_85` AS 
(SELECT `DT_node_lookup_85`.`KEY` AS `KEY`, `DT_node_lookup_85`.node_id_2 AS node_id_2, `DT_node_data_85`.node_id AS node_id, `DT_node_data_85`.feature AS feature, `DT_node_data_85`.threshold AS threshold, `DT_node_data_85`.count AS count, `DT_node_data_85`.depth AS depth, `DT_node_data_85`.parent_id AS parent_id, `DT_node_data_85`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_85` LEFT OUTER JOIN `DT_node_data_85` ON `DT_node_lookup_85`.node_id_2 = `DT_node_data_85`.node_id), 
`GB_Tree_28_1` AS 
(SELECT `DT_Output_85`.`KEY` AS `KEY`, 0.0 AS `Score_0`, `DT_Output_85`.`Estimator` AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_85`), 
`DT_node_lookup_86` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.850000381469727) THEN CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN CASE WHEN (`ADS`.`Feature_2` <= 2.450000047683716) THEN 3 ELSE 4 END ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.0999999046325684) THEN 6 ELSE 7 END END ELSE CASE WHEN (`ADS`.`Feature_1` <= 2.3499999046325684) THEN 9 ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.75) THEN 11 ELSE 12 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_86` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 3 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 3 AS depth, 2 AS parent_id, -0.672830620100327 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 36 AS count, 3 AS depth, 2 AS parent_id, -0.6738600661952961 AS `Estimator` UNION ALL SELECT 6 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 5 AS parent_id, 0.7160686527389155 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 5 AS parent_id, -0.7227083240261919 AS `Estimator` UNION ALL SELECT 9 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 2 AS depth, 8 AS parent_id, 0.7262159117445961 AS `Estimator` UNION ALL SELECT 11 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 6 AS count, 3 AS depth, 10 AS parent_id, -0.1097323005585498 AS `Estimator` UNION ALL SELECT 12 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 3 AS depth, 10 AS parent_id, 0.684841667871673 AS `Estimator`) AS `Values`), 
`DT_Output_86` AS 
(SELECT `DT_node_lookup_86`.`KEY` AS `KEY`, `DT_node_lookup_86`.node_id_2 AS node_id_2, `DT_node_data_86`.node_id AS node_id, `DT_node_data_86`.feature AS feature, `DT_node_data_86`.threshold AS threshold, `DT_node_data_86`.count AS count, `DT_node_data_86`.depth AS depth, `DT_node_data_86`.parent_id AS parent_id, `DT_node_data_86`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_86` LEFT OUTER JOIN `DT_node_data_86` ON `DT_node_lookup_86`.node_id_2 = `DT_node_data_86`.node_id), 
`GB_Tree_28_2` AS 
(SELECT `DT_Output_86`.`KEY` AS `KEY`, 0.0 AS `Score_0`, 0.0 AS `Score_1`, `DT_Output_86`.`Estimator` AS `Score_2` 
FROM `DT_Output_86`), 
`DT_node_lookup_87` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 1 ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.8499999046325684) THEN CASE WHEN (`ADS`.`Feature_2` <= 4.75) THEN 4 ELSE 5 END ELSE 6 END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_87` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 1 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 1 AS depth, 0 AS parent_id, 0.6782056920063712 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 36 AS count, 3 AS depth, 3 AS parent_id, -0.6729957838453149 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 18 AS count, 3 AS depth, 3 AS parent_id, -0.687961387554745 AS `Estimator` UNION ALL SELECT 6 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 29 AS count, 2 AS depth, 2 AS parent_id, -0.6722676635527851 AS `Estimator`) AS `Values`), 
`DT_Output_87` AS 
(SELECT `DT_node_lookup_87`.`KEY` AS `KEY`, `DT_node_lookup_87`.node_id_2 AS node_id_2, `DT_node_data_87`.node_id AS node_id, `DT_node_data_87`.feature AS feature, `DT_node_data_87`.threshold AS threshold, `DT_node_data_87`.count AS count, `DT_node_data_87`.depth AS depth, `DT_node_data_87`.parent_id AS parent_id, `DT_node_data_87`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_87` LEFT OUTER JOIN `DT_node_data_87` ON `DT_node_lookup_87`.node_id_2 = `DT_node_data_87`.node_id), 
`GB_Tree_29_0` AS 
(SELECT `DT_Output_87`.`KEY` AS `KEY`, `DT_Output_87`.`Estimator` AS `Score_0`, 0.0 AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_87`), 
`DT_node_lookup_88` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN CASE WHEN (`ADS`.`Feature_2` <= 2.450000047683716) THEN 2 ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.049999952316284) THEN 4 ELSE 5 END END ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.7000000476837158) THEN CASE WHEN (`ADS`.`Feature_1` <= 2.6999998092651367) THEN 8 ELSE 9 END ELSE 10 END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_88` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 2 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 2 AS depth, 1 AS parent_id, -0.6719745706562683 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 40 AS count, 3 AS depth, 3 AS parent_id, 0.25465634471741755 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 8 AS count, 3 AS depth, 3 AS parent_id, 0.7275580661763055 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 7 AS parent_id, -0.6789833867500348 AS `Estimator` UNION ALL SELECT 9 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 7 AS parent_id, -0.6849560420726349 AS `Estimator` UNION ALL SELECT 10 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 32 AS count, 2 AS depth, 6 AS parent_id, -0.6723398292799554 AS `Estimator`) AS `Values`), 
`DT_Output_88` AS 
(SELECT `DT_node_lookup_88`.`KEY` AS `KEY`, `DT_node_lookup_88`.node_id_2 AS node_id_2, `DT_node_data_88`.node_id AS node_id, `DT_node_data_88`.feature AS feature, `DT_node_data_88`.threshold AS threshold, `DT_node_data_88`.count AS count, `DT_node_data_88`.depth AS depth, `DT_node_data_88`.parent_id AS parent_id, `DT_node_data_88`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_88` LEFT OUTER JOIN `DT_node_data_88` ON `DT_node_lookup_88`.node_id_2 = `DT_node_data_88`.node_id), 
`GB_Tree_29_1` AS 
(SELECT `DT_Output_88`.`KEY` AS `KEY`, 0.0 AS `Score_0`, `DT_Output_88`.`Estimator` AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_88`), 
`DT_node_lookup_89` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.850000381469727) THEN CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 3 ELSE 4 END ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.0999999046325684) THEN 6 ELSE 7 END END ELSE CASE WHEN (`ADS`.`Feature_1` <= 2.3499999046325684) THEN 9 ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.75) THEN 11 ELSE 12 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_89` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 3 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 3 AS depth, 2 AS parent_id, -0.6720574515020379 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 36 AS count, 3 AS depth, 2 AS parent_id, -0.6731896802904574 AS `Estimator` UNION ALL SELECT 6 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 5 AS parent_id, 0.7134080795218634 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 5 AS parent_id, -0.7156578136397674 AS `Estimator` UNION ALL SELECT 9 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 2 AS depth, 8 AS parent_id, 0.722144368893581 AS `Estimator` UNION ALL SELECT 11 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 6 AS count, 3 AS depth, 10 AS parent_id, -0.11280928349662937 AS `Estimator` UNION ALL SELECT 12 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 3 AS depth, 10 AS parent_id, 0.6835318683217934 AS `Estimator`) AS `Values`), 
`DT_Output_89` AS 
(SELECT `DT_node_lookup_89`.`KEY` AS `KEY`, `DT_node_lookup_89`.node_id_2 AS node_id_2, `DT_node_data_89`.node_id AS node_id, `DT_node_data_89`.feature AS feature, `DT_node_data_89`.threshold AS threshold, `DT_node_data_89`.count AS count, `DT_node_data_89`.depth AS depth, `DT_node_data_89`.parent_id AS parent_id, `DT_node_data_89`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_89` LEFT OUTER JOIN `DT_node_data_89` ON `DT_node_lookup_89`.node_id_2 = `DT_node_data_89`.node_id), 
`GB_Tree_29_2` AS 
(SELECT `DT_Output_89`.`KEY` AS `KEY`, 0.0 AS `Score_0`, 0.0 AS `Score_1`, `DT_Output_89`.`Estimator` AS `Score_2` 
FROM `DT_Output_89`), 
`DT_node_lookup_90` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 2.450000047683716) THEN 1 ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.8499999046325684) THEN CASE WHEN (`ADS`.`Feature_2` <= 4.75) THEN 4 ELSE 5 END ELSE 6 END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_90` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 1 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 1 AS depth, 0 AS parent_id, 0.6767482728863066 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 36 AS count, 3 AS depth, 3 AS parent_id, -0.6724044561310881 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 18 AS count, 3 AS depth, 3 AS parent_id, -0.6856798110589768 AS `Estimator` UNION ALL SELECT 6 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 29 AS count, 2 AS depth, 2 AS parent_id, -0.6715627765479888 AS `Estimator`) AS `Values`), 
`DT_Output_90` AS 
(SELECT `DT_node_lookup_90`.`KEY` AS `KEY`, `DT_node_lookup_90`.node_id_2 AS node_id_2, `DT_node_data_90`.node_id AS node_id, `DT_node_data_90`.feature AS feature, `DT_node_data_90`.threshold AS threshold, `DT_node_data_90`.count AS count, `DT_node_data_90`.depth AS depth, `DT_node_data_90`.parent_id AS parent_id, `DT_node_data_90`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_90` LEFT OUTER JOIN `DT_node_data_90` ON `DT_node_lookup_90`.node_id_2 = `DT_node_data_90`.node_id), 
`GB_Tree_30_0` AS 
(SELECT `DT_Output_90`.`KEY` AS `KEY`, `DT_Output_90`.`Estimator` AS `Score_0`, 0.0 AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_90`), 
`DT_node_lookup_91` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_3` <= 1.75) THEN CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 2 ELSE CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN 4 ELSE 5 END END ELSE CASE WHEN (`ADS`.`Feature_2` <= 4.850000381469727) THEN CASE WHEN (`ADS`.`Feature_0` <= 5.949999809265137) THEN 8 ELSE 9 END ELSE CASE WHEN (`ADS`.`Feature_2` <= 4.949999809265137) THEN 11 ELSE 12 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_91` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 2 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 2 AS depth, 1 AS parent_id, -0.6713095933887527 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 41 AS count, 3 AS depth, 3 AS parent_id, 0.5185647541461424 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 3 AS parent_id, -0.6825234115174093 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 7 AS parent_id, 0.762473524293978 AS `Estimator` UNION ALL SELECT 9 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 7 AS parent_id, -0.6981767289195855 AS `Estimator` UNION ALL SELECT 11 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 10 AS parent_id, -0.69598621857484 AS `Estimator` UNION ALL SELECT 12 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 34 AS count, 3 AS depth, 10 AS parent_id, -0.6730172336496364 AS `Estimator`) AS `Values`), 
`DT_Output_91` AS 
(SELECT `DT_node_lookup_91`.`KEY` AS `KEY`, `DT_node_lookup_91`.node_id_2 AS node_id_2, `DT_node_data_91`.node_id AS node_id, `DT_node_data_91`.feature AS feature, `DT_node_data_91`.threshold AS threshold, `DT_node_data_91`.count AS count, `DT_node_data_91`.depth AS depth, `DT_node_data_91`.parent_id AS parent_id, `DT_node_data_91`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_91` LEFT OUTER JOIN `DT_node_data_91` ON `DT_node_lookup_91`.node_id_2 = `DT_node_data_91`.node_id), 
`GB_Tree_30_1` AS 
(SELECT `DT_Output_91`.`KEY` AS `KEY`, 0.0 AS `Score_0`, `DT_Output_91`.`Estimator` AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_91`), 
`DT_node_lookup_92` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.850000381469727) THEN CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 3 ELSE 4 END ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.0999999046325684) THEN 6 ELSE 7 END END ELSE CASE WHEN (`ADS`.`Feature_1` <= 2.3499999046325684) THEN 9 ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.75) THEN 11 ELSE 12 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_92` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 3 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 3 AS depth, 2 AS parent_id, -0.6713816731890434 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 36 AS count, 3 AS depth, 2 AS parent_id, -0.6724625266253852 AS `Estimator` UNION ALL SELECT 6 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 5 AS parent_id, 0.7107857830444188 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 5 AS parent_id, -0.7093280076157381 AS `Estimator` UNION ALL SELECT 9 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 2 AS depth, 8 AS parent_id, 0.7195321280040949 AS `Estimator` UNION ALL SELECT 11 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 6 AS count, 3 AS depth, 10 AS parent_id, -0.11124873352994466 AS `Estimator` UNION ALL SELECT 12 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 3 AS depth, 10 AS parent_id, 0.6814086233415995 AS `Estimator`) AS `Values`), 
`DT_Output_92` AS 
(SELECT `DT_node_lookup_92`.`KEY` AS `KEY`, `DT_node_lookup_92`.node_id_2 AS node_id_2, `DT_node_data_92`.node_id AS node_id, `DT_node_data_92`.feature AS feature, `DT_node_data_92`.threshold AS threshold, `DT_node_data_92`.count AS count, `DT_node_data_92`.depth AS depth, `DT_node_data_92`.parent_id AS parent_id, `DT_node_data_92`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_92` LEFT OUTER JOIN `DT_node_data_92` ON `DT_node_lookup_92`.node_id_2 = `DT_node_data_92`.node_id), 
`GB_Tree_30_2` AS 
(SELECT `DT_Output_92`.`KEY` AS `KEY`, 0.0 AS `Score_0`, 0.0 AS `Score_1`, `DT_Output_92`.`Estimator` AS `Score_2` 
FROM `DT_Output_92`), 
`DT_node_lookup_93` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 1 ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.8499999046325684) THEN CASE WHEN (`ADS`.`Feature_2` <= 4.75) THEN 4 ELSE 5 END ELSE 6 END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_93` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 1 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 1 AS depth, 0 AS parent_id, 0.6754768053355931 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 36 AS count, 3 AS depth, 3 AS parent_id, -0.6717647891516434 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 18 AS count, 3 AS depth, 3 AS parent_id, -0.6836093343017464 AS `Estimator` UNION ALL SELECT 6 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 29 AS count, 2 AS depth, 2 AS parent_id, -0.6709481550668821 AS `Estimator`) AS `Values`), 
`DT_Output_93` AS 
(SELECT `DT_node_lookup_93`.`KEY` AS `KEY`, `DT_node_lookup_93`.node_id_2 AS node_id_2, `DT_node_data_93`.node_id AS node_id, `DT_node_data_93`.feature AS feature, `DT_node_data_93`.threshold AS threshold, `DT_node_data_93`.count AS count, `DT_node_data_93`.depth AS depth, `DT_node_data_93`.parent_id AS parent_id, `DT_node_data_93`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_93` LEFT OUTER JOIN `DT_node_data_93` ON `DT_node_lookup_93`.node_id_2 = `DT_node_data_93`.node_id), 
`GB_Tree_31_0` AS 
(SELECT `DT_Output_93`.`KEY` AS `KEY`, `DT_Output_93`.`Estimator` AS `Score_0`, 0.0 AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_93`), 
`DT_node_lookup_94` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_3` <= 1.75) THEN CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 2 ELSE CASE WHEN (`ADS`.`Feature_2` <= 5.050000190734863) THEN 4 ELSE 5 END END ELSE CASE WHEN (`ADS`.`Feature_2` <= 4.850000381469727) THEN CASE WHEN (`ADS`.`Feature_1` <= 3.0999999046325684) THEN 8 ELSE 9 END ELSE CASE WHEN (`ADS`.`Feature_2` <= 4.949999809265137) THEN 11 ELSE 12 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_94` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 2 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 2 AS depth, 1 AS parent_id, -0.6707281870881284 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 41 AS count, 3 AS depth, 3 AS parent_id, 0.5042363841161461 AS `Estimator` UNION ALL SELECT 5 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 3 AS parent_id, -0.6816633267764276 AS `Estimator` UNION ALL SELECT 8 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 7 AS parent_id, -0.6940568997920202 AS `Estimator` UNION ALL SELECT 9 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 7 AS parent_id, 0.7494652134947932 AS `Estimator` UNION ALL SELECT 11 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 3 AS count, 3 AS depth, 10 AS parent_id, -0.6922462885436568 AS `Estimator` UNION ALL SELECT 12 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 34 AS count, 3 AS depth, 10 AS parent_id, -0.6722214885269908 AS `Estimator`) AS `Values`), 
`DT_Output_94` AS 
(SELECT `DT_node_lookup_94`.`KEY` AS `KEY`, `DT_node_lookup_94`.node_id_2 AS node_id_2, `DT_node_data_94`.node_id AS node_id, `DT_node_data_94`.feature AS feature, `DT_node_data_94`.threshold AS threshold, `DT_node_data_94`.count AS count, `DT_node_data_94`.depth AS depth, `DT_node_data_94`.parent_id AS parent_id, `DT_node_data_94`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_94` LEFT OUTER JOIN `DT_node_data_94` ON `DT_node_lookup_94`.node_id_2 = `DT_node_data_94`.node_id), 
`GB_Tree_31_1` AS 
(SELECT `DT_Output_94`.`KEY` AS `KEY`, 0.0 AS `Score_0`, `DT_Output_94`.`Estimator` AS `Score_1`, 0.0 AS `Score_2` 
FROM `DT_Output_94`), 
`DT_node_lookup_95` AS 
(SELECT `ADS`.`KEY` AS `KEY`, CASE WHEN (`ADS`.`Feature_2` <= 4.850000381469727) THEN CASE WHEN (`ADS`.`Feature_3` <= 1.[REDACTED]) THEN CASE WHEN (`ADS`.`Feature_3` <= 0.800000011920929) THEN 3 ELSE 4 END ELSE CASE WHEN (`ADS`.`Feature_1` <= 3.0999999046325684) THEN 6 ELSE 7 END END ELSE CASE WHEN (`ADS`.`Feature_1` <= 2.3499999046325684) THEN 9 ELSE CASE WHEN (`ADS`.`Feature_3` <= 1.75) THEN 11 ELSE 12 END END END AS node_id_2 
FROM iris AS `ADS`), 
`DT_node_data_95` AS 
(SELECT `Values`.node_id AS node_id, `Values`.feature AS feature, `Values`.threshold AS threshold, `Values`.count AS count, `Values`.depth AS depth, `Values`.parent_id AS parent_id, `Values`.`Estimator` AS `Estimator` 
FROM (SELECT 3 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 3 AS depth, 2 AS parent_id, -0.6707909219828275 AS `Estimator` UNION ALL SELECT 4 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 36 AS count, 3 AS depth, 2 AS parent_id, -0.6718235731209566 AS `Estimator` UNION ALL SELECT 6 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 2 AS count, 3 AS depth, 5 AS parent_id, 0.7086235404341795 AS `Estimator` UNION ALL SELECT 7 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 3 AS depth, 5 AS parent_id, -0.7038401913665175 AS `Estimator` UNION ALL SELECT 9 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 1 AS count, 2 AS depth, 8 AS parent_id, 0.7171262491461146 AS `Estimator` UNION ALL SELECT 11 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 6 AS count, 3 AS depth, 10 AS parent_id, -0.11016172527018493 AS `Estimator` UNION ALL SELECT 12 AS node_id, CAST(NULL AS CHAR(256)) AS feature, NULL AS threshold, 37 AS count, 3 AS depth, 10 AS parent_id, 0.6795546659325853 AS `Estimator`) AS `Values`), 
`DT_Output_95` AS 
(SELECT `DT_node_lookup_95`.`KEY` AS `KEY`, `DT_node_lookup_95`.node_id_2 AS node_id_2, `DT_node_data_95`.node_id AS node_id, `DT_node_data_95`.feature AS feature, `DT_node_data_95`.threshold AS threshold, `DT_node_data_95`.count AS count, `DT_node_data_95`.depth AS depth, `DT_node_data_95`.parent_id AS parent_id, `DT_node_data_95`.`Estimator` AS `Estimator` 
FROM `DT_node_lookup_95` LEFT OUTER JOIN `DT_node_data_95` ON `DT_node_lookup_95`.node_id_2 = `DT_node_data_95`.node_id), 
`GB_Tree_31_2` AS 
(SELECT `DT_Output_95`.`KEY` AS `KEY`, 0.0 AS `Score_0`, 0.0 AS `Score_1`, `DT_Output_95`.`Estimator` AS `Score_2` 
FROM `DT_Output_95`), 
`Score_Union_CTE` AS 
(SELECT ensemble_score_union.`KEY` AS `KEY`, ensemble_score_union.`Score_0` AS `Score_0`, ensemble_score_union.`Score_1` AS `Score_1`, ensemble_score_union.`Score_2` AS `Score_2` 
FROM (SELECT `GB_Tree_0_0`.`KEY` AS `KEY`, `GB_Tree_0_0`.`Score_0` AS `Score_0`, `GB_Tree_0_0`.`Score_1` AS `Score_1`, `GB_Tree_0_0`.`Score_2` AS `Score_2` 
FROM `GB_Tree_0_0` UNION ALL SELECT `GB_Tree_0_1`.`KEY` AS `KEY`, `GB_Tree_0_1`.`Score_0` AS `Score_0`, `GB_Tree_0_1`.`Score_1` AS `Score_1`, `GB_Tree_0_1`.`Score_2` AS `Score_2` 
FROM `GB_Tree_0_1` UNION ALL SELECT `GB_Tree_0_2`.`KEY` AS `KEY`, `GB_Tree_0_2`.`Score_0` AS `Score_0`, `GB_Tree_0_2`.`Score_1` AS `Score_1`, `GB_Tree_0_2`.`Score_2` AS `Score_2` 
FROM `GB_Tree_0_2` UNION ALL SELECT `GB_Tree_1_0`.`KEY` AS `KEY`, `GB_Tree_1_0`.`Score_0` AS `Score_0`, `GB_Tree_1_0`.`Score_1` AS `Score_1`, `GB_Tree_1_0`.`Score_2` AS `Score_2` 
FROM `GB_Tree_1_0` UNION ALL SELECT `GB_Tree_1_1`.`KEY` AS `KEY`, `GB_Tree_1_1`.`Score_0` AS `Score_0`, `GB_Tree_1_1`.`Score_1` AS `Score_1`, `GB_Tree_1_1`.`Score_2` AS `Score_2` 
FROM `GB_Tree_1_1` UNION ALL SELECT `GB_Tree_1_2`.`KEY` AS `KEY`, `GB_Tree_1_2`.`Score_0` AS `Score_0`, `GB_Tree_1_2`.`Score_1` AS `Score_1`, `GB_Tree_1_2`.`Score_2` AS `Score_2` 
FROM `GB_Tree_1_2` UNION ALL SELECT `GB_Tree_2_0`.`KEY` AS `KEY`, `GB_Tree_2_0`.`Score_0` AS `Score_0`, `GB_Tree_2_0`.`Score_1` AS `Score_1`, `GB_Tree_2_0`.`Score_2` AS `Score_2` 
FROM `GB_Tree_2_0` UNION ALL SELECT `GB_Tree_2_1`.`KEY` AS `KEY`, `GB_Tree_2_1`.`Score_0` AS `Score_0`, `GB_Tree_2_1`.`Score_1` AS `Score_1`, `GB_Tree_2_1`.`Score_2` AS `Score_2` 
FROM `GB_Tree_2_1` UNION ALL SELECT `GB_Tree_2_2`.`KEY` AS `KEY`, `GB_Tree_2_2`.`Score_0` AS `Score_0`, `GB_Tree_2_2`.`Score_1` AS `Score_1`, `GB_Tree_2_2`.`Score_2` AS `Score_2` 
FROM `GB_Tree_2_2` UNION ALL SELECT `GB_Tree_3_0`.`KEY` AS `KEY`, `GB_Tree_3_0`.`Score_0` AS `Score_0`, `GB_Tree_3_0`.`Score_1` AS `Score_1`, `GB_Tree_3_0`.`Score_2` AS `Score_2` 
FROM `GB_Tree_3_0` UNION ALL SELECT `GB_Tree_3_1`.`KEY` AS `KEY`, `GB_Tree_3_1`.`Score_0` AS `Score_0`, `GB_Tree_3_1`.`Score_1` AS `Score_1`, `GB_Tree_3_1`.`Score_2` AS `Score_2` 
FROM `GB_Tree_3_1` UNION ALL SELECT `GB_Tree_3_2`.`KEY` AS `KEY`, `GB_Tree_3_2`.`Score_0` AS `Score_0`, `GB_Tree_3_2`.`Score_1` AS `Score_1`, `GB_Tree_3_2`.`Score_2` AS `Score_2` 
FROM `GB_Tree_3_2` UNION ALL SELECT `GB_Tree_4_0`.`KEY` AS `KEY`, `GB_Tree_4_0`.`Score_0` AS `Score_0`, `GB_Tree_4_0`.`Score_1` AS `Score_1`, `GB_Tree_4_0`.`Score_2` AS `Score_2` 
FROM `GB_Tree_4_0` UNION ALL SELECT `GB_Tree_4_1`.`KEY` AS `KEY`, `GB_Tree_4_1`.`Score_0` AS `Score_0`, `GB_Tree_4_1`.`Score_1` AS `Score_1`, `GB_Tree_4_1`.`Score_2` AS `Score_2` 
FROM `GB_Tree_4_1` UNION ALL SELECT `GB_Tree_4_2`.`KEY` AS `KEY`, `GB_Tree_4_2`.`Score_0` AS `Score_0`, `GB_Tree_4_2`.`Score_1` AS `Score_1`, `GB_Tree_4_2`.`Score_2` AS `Score_2` 
FROM `GB_Tree_4_2` UNION ALL SELECT `GB_Tree_5_0`.`KEY` AS `KEY`, `GB_Tree_5_0`.`Score_0` AS `Score_0`, `GB_Tree_5_0`.`Score_1` AS `Score_1`, `GB_Tree_5_0`.`Score_2` AS `Score_2` 
FROM `GB_Tree_5_0` UNION ALL SELECT `GB_Tree_5_1`.`KEY` AS `KEY`, `GB_Tree_5_1`.`Score_0` AS `Score_0`, `GB_Tree_5_1`.`Score_1` AS `Score_1`, `GB_Tree_5_1`.`Score_2` AS `Score_2` 
FROM `GB_Tree_5_1` UNION ALL SELECT `GB_Tree_5_2`.`KEY` AS `KEY`, `GB_Tree_5_2`.`Score_0` AS `Score_0`, `GB_Tree_5_2`.`Score_1` AS `Score_1`, `GB_Tree_5_2`.`Score_2` AS `Score_2` 
FROM `GB_Tree_5_2` UNION ALL SELECT `GB_Tree_6_0`.`KEY` AS `KEY`, `GB_Tree_6_0`.`Score_0` AS `Score_0`, `GB_Tree_6_0`.`Score_1` AS `Score_1`, `GB_Tree_6_0`.`Score_2` AS `Score_2` 
FROM `GB_Tree_6_0` UNION ALL SELECT `GB_Tree_6_1`.`KEY` AS `KEY`, `GB_Tree_6_1`.`Score_0` AS `Score_0`, `GB_Tree_6_1`.`Score_1` AS `Score_1`, `GB_Tree_6_1`.`Score_2` AS `Score_2` 
FROM `GB_Tree_6_1` UNION ALL SELECT `GB_Tree_6_2`.`KEY` AS `KEY`, `GB_Tree_6_2`.`Score_0` AS `Score_0`, `GB_Tree_6_2`.`Score_1` AS `Score_1`, `GB_Tree_6_2`.`Score_2` AS `Score_2` 
FROM `GB_Tree_6_2` UNION ALL SELECT `GB_Tree_7_0`.`KEY` AS `KEY`, `GB_Tree_7_0`.`Score_0` AS `Score_0`, `GB_Tree_7_0`.`Score_1` AS `Score_1`, `GB_Tree_7_0`.`Score_2` AS `Score_2` 
FROM `GB_Tree_7_0` UNION ALL SELECT `GB_Tree_7_1`.`KEY` AS `KEY`, `GB_Tree_7_1`.`Score_0` AS `Score_0`, `GB_Tree_7_1`.`Score_1` AS `Score_1`, `GB_Tree_7_1`.`Score_2` AS `Score_2` 
FROM `GB_Tree_7_1` UNION ALL SELECT `GB_Tree_7_2`.`KEY` AS `KEY`, `GB_Tree_7_2`.`Score_0` AS `Score_0`, `GB_Tree_7_2`.`Score_1` AS `Score_1`, `GB_Tree_7_2`.`Score_2` AS `Score_2` 
FROM `GB_Tree_7_2` UNION ALL SELECT `GB_Tree_8_0`.`KEY` AS `KEY`, `GB_Tree_8_0`.`Score_0` AS `Score_0`, `GB_Tree_8_0`.`Score_1` AS `Score_1`, `GB_Tree_8_0`.`Score_2` AS `Score_2` 
FROM `GB_Tree_8_0` UNION ALL SELECT `GB_Tree_8_1`.`KEY` AS `KEY`, `GB_Tree_8_1`.`Score_0` AS `Score_0`, `GB_Tree_8_1`.`Score_1` AS `Score_1`, `GB_Tree_8_1`.`Score_2` AS `Score_2` 
FROM `GB_Tree_8_1` UNION ALL SELECT `GB_Tree_8_2`.`KEY` AS `KEY`, `GB_Tree_8_2`.`Score_0` AS `Score_0`, `GB_Tree_8_2`.`Score_1` AS `Score_1`, `GB_Tree_8_2`.`Score_2` AS `Score_2` 
FROM `GB_Tree_8_2` UNION ALL SELECT `GB_Tree_9_0`.`KEY` AS `KEY`, `GB_Tree_9_0`.`Score_0` AS `Score_0`, `GB_Tree_9_0`.`Score_1` AS `Score_1`, `GB_Tree_9_0`.`Score_2` AS `Score_2` 
FROM `GB_Tree_9_0` UNION ALL SELECT `GB_Tree_9_1`.`KEY` AS `KEY`, `GB_Tree_9_1`.`Score_0` AS `Score_0`, `GB_Tree_9_1`.`Score_1` AS `Score_1`, `GB_Tree_9_1`.`Score_2` AS `Score_2` 
FROM `GB_Tree_9_1` UNION ALL SELECT `GB_Tree_9_2`.`KEY` AS `KEY`, `GB_Tree_9_2`.`Score_0` AS `Score_0`, `GB_Tree_9_2`.`Score_1` AS `Score_1`, `GB_Tree_9_2`.`Score_2` AS `Score_2` 
FROM `GB_Tree_9_2` UNION ALL SELECT `GB_Tree_10_0`.`KEY` AS `KEY`, `GB_Tree_10_0`.`Score_0` AS `Score_0`, `GB_Tree_10_0`.`Score_1` AS `Score_1`, `GB_Tree_10_0`.`Score_2` AS `Score_2` 
FROM `GB_Tree_10_0` UNION ALL SELECT `GB_Tree_10_1`.`KEY` AS `KEY`, `GB_Tree_10_1`.`Score_0` AS `Score_0`, `GB_Tree_10_1`.`Score_1` AS `Score_1`, `GB_Tree_10_1`.`Score_2` AS `Score_2` 
FROM `GB_Tree_10_1` UNION ALL SELECT `GB_Tree_10_2`.`KEY` AS `KEY`, `GB_Tree_10_2`.`Score_0` AS `Score_0`, `GB_Tree_10_2`.`Score_1` AS `Score_1`, `GB_Tree_10_2`.`Score_2` AS `Score_2` 
FROM `GB_Tree_10_2` UNION ALL SELECT `GB_Tree_11_0`.`KEY` AS `KEY`, `GB_Tree_11_0`.`Score_0` AS `Score_0`, `GB_Tree_11_0`.`Score_1` AS `Score_1`, `GB_Tree_11_0`.`Score_2` AS `Score_2` 
FROM `GB_Tree_11_0` UNION ALL SELECT `GB_Tree_11_1`.`KEY` AS `KEY`, `GB_Tree_11_1`.`Score_0` AS `Score_0`, `GB_Tree_11_1`.`Score_1` AS `Score_1`, `GB_Tree_11_1`.`Score_2` AS `Score_2` 
FROM `GB_Tree_11_1` UNION ALL SELECT `GB_Tree_11_2`.`KEY` AS `KEY`, `GB_Tree_11_2`.`Score_0` AS `Score_0`, `GB_Tree_11_2`.`Score_1` AS `Score_1`, `GB_Tree_11_2`.`Score_2` AS `Score_2` 
FROM `GB_Tree_11_2` UNION ALL SELECT `GB_Tree_12_0`.`KEY` AS `KEY`, `GB_Tree_12_0`.`Score_0` AS `Score_0`, `GB_Tree_12_0`.`Score_1` AS `Score_1`, `GB_Tree_12_0`.`Score_2` AS `Score_2` 
FROM `GB_Tree_12_0` UNION ALL SELECT `GB_Tree_12_1`.`KEY` AS `KEY`, `GB_Tree_12_1`.`Score_0` AS `Score_0`, `GB_Tree_12_1`.`Score_1` AS `Score_1`, `GB_Tree_12_1`.`Score_2` AS `Score_2` 
FROM `GB_Tree_12_1` UNION ALL SELECT `GB_Tree_12_2`.`KEY` AS `KEY`, `GB_Tree_12_2`.`Score_0` AS `Score_0`, `GB_Tree_12_2`.`Score_1` AS `Score_1`, `GB_Tree_12_2`.`Score_2` AS `Score_2` 
FROM `GB_Tree_12_2` UNION ALL SELECT `GB_Tree_13_0`.`KEY` AS `KEY`, `GB_Tree_13_0`.`Score_0` AS `Score_0`, `GB_Tree_13_0`.`Score_1` AS `Score_1`, `GB_Tree_13_0`.`Score_2` AS `Score_2` 
FROM `GB_Tree_13_0` UNION ALL SELECT `GB_Tree_13_1`.`KEY` AS `KEY`, `GB_Tree_13_1`.`Score_0` AS `Score_0`, `GB_Tree_13_1`.`Score_1` AS `Score_1`, `GB_Tree_13_1`.`Score_2` AS `Score_2` 
FROM `GB_Tree_13_1` UNION ALL SELECT `GB_Tree_13_2`.`KEY` AS `KEY`, `GB_Tree_13_2`.`Score_0` AS `Score_0`, `GB_Tree_13_2`.`Score_1` AS `Score_1`, `GB_Tree_13_2`.`Score_2` AS `Score_2` 
FROM `GB_Tree_13_2` UNION ALL SELECT `GB_Tree_14_0`.`KEY` AS `KEY`, `GB_Tree_14_0`.`Score_0` AS `Score_0`, `GB_Tree_14_0`.`Score_1` AS `Score_1`, `GB_Tree_14_0`.`Score_2` AS `Score_2` 
FROM `GB_Tree_14_0` UNION ALL SELECT `GB_Tree_14_1`.`KEY` AS `KEY`, `GB_Tree_14_1`.`Score_0` AS `Score_0`, `GB_Tree_14_1`.`Score_1` AS `Score_1`, `GB_Tree_14_1`.`Score_2` AS `Score_2` 
FROM `GB_Tree_14_1` UNION ALL SELECT `GB_Tree_14_2`.`KEY` AS `KEY`, `GB_Tree_14_2`.`Score_0` AS `Score_0`, `GB_Tree_14_2`.`Score_1` AS `Score_1`, `GB_Tree_14_2`.`Score_2` AS `Score_2` 
FROM `GB_Tree_14_2` UNION ALL SELECT `GB_Tree_15_0`.`KEY` AS `KEY`, `GB_Tree_15_0`.`Score_0` AS `Score_0`, `GB_Tree_15_0`.`Score_1` AS `Score_1`, `GB_Tree_15_0`.`Score_2` AS `Score_2` 
FROM `GB_Tree_15_0` UNION ALL SELECT `GB_Tree_15_1`.`KEY` AS `KEY`, `GB_Tree_15_1`.`Score_0` AS `Score_0`, `GB_Tree_15_1`.`Score_1` AS `Score_1`, `GB_Tree_15_1`.`Score_2` AS `Score_2` 
FROM `GB_Tree_15_1` UNION ALL SELECT `GB_Tree_15_2`.`KEY` AS `KEY`, `GB_Tree_15_2`.`Score_0` AS `Score_0`, `GB_Tree_15_2`.`Score_1` AS `Score_1`, `GB_Tree_15_2`.`Score_2` AS `Score_2` 
FROM `GB_Tree_15_2` UNION ALL SELECT `GB_Tree_16_0`.`KEY` AS `KEY`, `GB_Tree_16_0`.`Score_0` AS `Score_0`, `GB_Tree_16_0`.`Score_1` AS `Score_1`, `GB_Tree_16_0`.`Score_2` AS `Score_2` 
FROM `GB_Tree_16_0` UNION ALL SELECT `GB_Tree_16_1`.`KEY` AS `KEY`, `GB_Tree_16_1`.`Score_0` AS `Score_0`, `GB_Tree_16_1`.`Score_1` AS `Score_1`, `GB_Tree_16_1`.`Score_2` AS `Score_2` 
FROM `GB_Tree_16_1` UNION ALL SELECT `GB_Tree_16_2`.`KEY` AS `KEY`, `GB_Tree_16_2`.`Score_0` AS `Score_0`, `GB_Tree_16_2`.`Score_1` AS `Score_1`, `GB_Tree_16_2`.`Score_2` AS `Score_2` 
FROM `GB_Tree_16_2` UNION ALL SELECT `GB_Tree_17_0`.`KEY` AS `KEY`, `GB_Tree_17_0`.`Score_0` AS `Score_0`, `GB_Tree_17_0`.`Score_1` AS `Score_1`, `GB_Tree_17_0`.`Score_2` AS `Score_2` 
FROM `GB_Tree_17_0` UNION ALL SELECT `GB_Tree_17_1`.`KEY` AS `KEY`, `GB_Tree_17_1`.`Score_0` AS `Score_0`, `GB_Tree_17_1`.`Score_1` AS `Score_1`, `GB_Tree_17_1`.`Score_2` AS `Score_2` 
FROM `GB_Tree_17_1` UNION ALL SELECT `GB_Tree_17_2`.`KEY` AS `KEY`, `GB_Tree_17_2`.`Score_0` AS `Score_0`, `GB_Tree_17_2`.`Score_1` AS `Score_1`, `GB_Tree_17_2`.`Score_2` AS `Score_2` 
FROM `GB_Tree_17_2` UNION ALL SELECT `GB_Tree_18_0`.`KEY` AS `KEY`, `GB_Tree_18_0`.`Score_0` AS `Score_0`, `GB_Tree_18_0`.`Score_1` AS `Score_1`, `GB_Tree_18_0`.`Score_2` AS `Score_2` 
FROM `GB_Tree_18_0` UNION ALL SELECT `GB_Tree_18_1`.`KEY` AS `KEY`, `GB_Tree_18_1`.`Score_0` AS `Score_0`, `GB_Tree_18_1`.`Score_1` AS `Score_1`, `GB_Tree_18_1`.`Score_2` AS `Score_2` 
FROM `GB_Tree_18_1` UNION ALL SELECT `GB_Tree_18_2`.`KEY` AS `KEY`, `GB_Tree_18_2`.`Score_0` AS `Score_0`, `GB_Tree_18_2`.`Score_1` AS `Score_1`, `GB_Tree_18_2`.`Score_2` AS `Score_2` 
FROM `GB_Tree_18_2` UNION ALL SELECT `GB_Tree_19_0`.`KEY` AS `KEY`, `GB_Tree_19_0`.`Score_0` AS `Score_0`, `GB_Tree_19_0`.`Score_1` AS `Score_1`, `GB_Tree_19_0`.`Score_2` AS `Score_2` 
FROM `GB_Tree_19_0` UNION ALL SELECT `GB_Tree_19_1`.`KEY` AS `KEY`, `GB_Tree_19_1`.`Score_0` AS `Score_0`, `GB_Tree_19_1`.`Score_1` AS `Score_1`, `GB_Tree_19_1`.`Score_2` AS `Score_2` 
FROM `GB_Tree_19_1` UNION ALL SELECT `GB_Tree_19_2`.`KEY` AS `KEY`, `GB_Tree_19_2`.`Score_0` AS `Score_0`, `GB_Tree_19_2`.`Score_1` AS `Score_1`, `GB_Tree_19_2`.`Score_2` AS `Score_2` 
FROM `GB_Tree_19_2` UNION ALL SELECT `GB_Tree_20_0`.`KEY` AS `KEY`, `GB_Tree_20_0`.`Score_0` AS `Score_0`, `GB_Tree_20_0`.`Score_1` AS `Score_1`, `GB_Tree_20_0`.`Score_2` AS `Score_2` 
FROM `GB_Tree_20_0` UNION ALL SELECT `GB_Tree_20_1`.`KEY` AS `KEY`, `GB_Tree_20_1`.`Score_0` AS `Score_0`, `GB_Tree_20_1`.`Score_1` AS `Score_1`, `GB_Tree_20_1`.`Score_2` AS `Score_2` 
FROM `GB_Tree_20_1` UNION ALL SELECT `GB_Tree_20_2`.`KEY` AS `KEY`, `GB_Tree_20_2`.`Score_0` AS `Score_0`, `GB_Tree_20_2`.`Score_1` AS `Score_1`, `GB_Tree_20_2`.`Score_2` AS `Score_2` 
FROM `GB_Tree_20_2` UNION ALL SELECT `GB_Tree_21_0`.`KEY` AS `KEY`, `GB_Tree_21_0`.`Score_0` AS `Score_0`, `GB_Tree_21_0`.`Score_1` AS `Score_1`, `GB_Tree_21_0`.`Score_2` AS `Score_2` 
FROM `GB_Tree_21_0` UNION ALL SELECT `GB_Tree_21_1`.`KEY` AS `KEY`, `GB_Tree_21_1`.`Score_0` AS `Score_0`, `GB_Tree_21_1`.`Score_1` AS `Score_1`, `GB_Tree_21_1`.`Score_2` AS `Score_2` 
FROM `GB_Tree_21_1` UNION ALL SELECT `GB_Tree_21_2`.`KEY` AS `KEY`, `GB_Tree_21_2`.`Score_0` AS `Score_0`, `GB_Tree_21_2`.`Score_1` AS `Score_1`, `GB_Tree_21_2`.`Score_2` AS `Score_2` 
FROM `GB_Tree_21_2` UNION ALL SELECT `GB_Tree_22_0`.`KEY` AS `KEY`, `GB_Tree_22_0`.`Score_0` AS `Score_0`, `GB_Tree_22_0`.`Score_1` AS `Score_1`, `GB_Tree_22_0`.`Score_2` AS `Score_2` 
FROM `GB_Tree_22_0` UNION ALL SELECT `GB_Tree_22_1`.`KEY` AS `KEY`, `GB_Tree_22_1`.`Score_0` AS `Score_0`, `GB_Tree_22_1`.`Score_1` AS `Score_1`, `GB_Tree_22_1`.`Score_2` AS `Score_2` 
FROM `GB_Tree_22_1` UNION ALL SELECT `GB_Tree_22_2`.`KEY` AS `KEY`, `GB_Tree_22_2`.`Score_0` AS `Score_0`, `GB_Tree_22_2`.`Score_1` AS `Score_1`, `GB_Tree_22_2`.`Score_2` AS `Score_2` 
FROM `GB_Tree_22_2` UNION ALL SELECT `GB_Tree_23_0`.`KEY` AS `KEY`, `GB_Tree_23_0`.`Score_0` AS `Score_0`, `GB_Tree_23_0`.`Score_1` AS `Score_1`, `GB_Tree_23_0`.`Score_2` AS `Score_2` 
FROM `GB_Tree_23_0` UNION ALL SELECT `GB_Tree_23_1`.`KEY` AS `KEY`, `GB_Tree_23_1`.`Score_0` AS `Score_0`, `GB_Tree_23_1`.`Score_1` AS `Score_1`, `GB_Tree_23_1`.`Score_2` AS `Score_2` 
FROM `GB_Tree_23_1` UNION ALL SELECT `GB_Tree_23_2`.`KEY` AS `KEY`, `GB_Tree_23_2`.`Score_0` AS `Score_0`, `GB_Tree_23_2`.`Score_1` AS `Score_1`, `GB_Tree_23_2`.`Score_2` AS `Score_2` 
FROM `GB_Tree_23_2` UNION ALL SELECT `GB_Tree_24_0`.`KEY` AS `KEY`, `GB_Tree_24_0`.`Score_0` AS `Score_0`, `GB_Tree_24_0`.`Score_1` AS `Score_1`, `GB_Tree_24_0`.`Score_2` AS `Score_2` 
FROM `GB_Tree_24_0` UNION ALL SELECT `GB_Tree_24_1`.`KEY` AS `KEY`, `GB_Tree_24_1`.`Score_0` AS `Score_0`, `GB_Tree_24_1`.`Score_1` AS `Score_1`, `GB_Tree_24_1`.`Score_2` AS `Score_2` 
FROM `GB_Tree_24_1` UNION ALL SELECT `GB_Tree_24_2`.`KEY` AS `KEY`, `GB_Tree_24_2`.`Score_0` AS `Score_0`, `GB_Tree_24_2`.`Score_1` AS `Score_1`, `GB_Tree_24_2`.`Score_2` AS `Score_2` 
FROM `GB_Tree_24_2` UNION ALL SELECT `GB_Tree_25_0`.`KEY` AS `KEY`, `GB_Tree_25_0`.`Score_0` AS `Score_0`, `GB_Tree_25_0`.`Score_1` AS `Score_1`, `GB_Tree_25_0`.`Score_2` AS `Score_2` 
FROM `GB_Tree_25_0` UNION ALL SELECT `GB_Tree_25_1`.`KEY` AS `KEY`, `GB_Tree_25_1`.`Score_0` AS `Score_0`, `GB_Tree_25_1`.`Score_1` AS `Score_1`, `GB_Tree_25_1`.`Score_2` AS `Score_2` 
FROM `GB_Tree_25_1` UNION ALL SELECT `GB_Tree_25_2`.`KEY` AS `KEY`, `GB_Tree_25_2`.`Score_0` AS `Score_0`, `GB_Tree_25_2`.`Score_1` AS `Score_1`, `GB_Tree_25_2`.`Score_2` AS `Score_2` 
FROM `GB_Tree_25_2` UNION ALL SELECT `GB_Tree_26_0`.`KEY` AS `KEY`, `GB_Tree_26_0`.`Score_0` AS `Score_0`, `GB_Tree_26_0`.`Score_1` AS `Score_1`, `GB_Tree_26_0`.`Score_2` AS `Score_2` 
FROM `GB_Tree_26_0` UNION ALL SELECT `GB_Tree_26_1`.`KEY` AS `KEY`, `GB_Tree_26_1`.`Score_0` AS `Score_0`, `GB_Tree_26_1`.`Score_1` AS `Score_1`, `GB_Tree_26_1`.`Score_2` AS `Score_2` 
FROM `GB_Tree_26_1` UNION ALL SELECT `GB_Tree_26_2`.`KEY` AS `KEY`, `GB_Tree_26_2`.`Score_0` AS `Score_0`, `GB_Tree_26_2`.`Score_1` AS `Score_1`, `GB_Tree_26_2`.`Score_2` AS `Score_2` 
FROM `GB_Tree_26_2` UNION ALL SELECT `GB_Tree_27_0`.`KEY` AS `KEY`, `GB_Tree_27_0`.`Score_0` AS `Score_0`, `GB_Tree_27_0`.`Score_1` AS `Score_1`, `GB_Tree_27_0`.`Score_2` AS `Score_2` 
FROM `GB_Tree_27_0` UNION ALL SELECT `GB_Tree_27_1`.`KEY` AS `KEY`, `GB_Tree_27_1`.`Score_0` AS `Score_0`, `GB_Tree_27_1`.`Score_1` AS `Score_1`, `GB_Tree_27_1`.`Score_2` AS `Score_2` 
FROM `GB_Tree_27_1` UNION ALL SELECT `GB_Tree_27_2`.`KEY` AS `KEY`, `GB_Tree_27_2`.`Score_0` AS `Score_0`, `GB_Tree_27_2`.`Score_1` AS `Score_1`, `GB_Tree_27_2`.`Score_2` AS `Score_2` 
FROM `GB_Tree_27_2` UNION ALL SELECT `GB_Tree_28_0`.`KEY` AS `KEY`, `GB_Tree_28_0`.`Score_0` AS `Score_0`, `GB_Tree_28_0`.`Score_1` AS `Score_1`, `GB_Tree_28_0`.`Score_2` AS `Score_2` 
FROM `GB_Tree_28_0` UNION ALL SELECT `GB_Tree_28_1`.`KEY` AS `KEY`, `GB_Tree_28_1`.`Score_0` AS `Score_0`, `GB_Tree_28_1`.`Score_1` AS `Score_1`, `GB_Tree_28_1`.`Score_2` AS `Score_2` 
FROM `GB_Tree_28_1` UNION ALL SELECT `GB_Tree_28_2`.`KEY` AS `KEY`, `GB_Tree_28_2`.`Score_0` AS `Score_0`, `GB_Tree_28_2`.`Score_1` AS `Score_1`, `GB_Tree_28_2`.`Score_2` AS `Score_2` 
FROM `GB_Tree_28_2` UNION ALL SELECT `GB_Tree_29_0`.`KEY` AS `KEY`, `GB_Tree_29_0`.`Score_0` AS `Score_0`, `GB_Tree_29_0`.`Score_1` AS `Score_1`, `GB_Tree_29_0`.`Score_2` AS `Score_2` 
FROM `GB_Tree_29_0` UNION ALL SELECT `GB_Tree_29_1`.`KEY` AS `KEY`, `GB_Tree_29_1`.`Score_0` AS `Score_0`, `GB_Tree_29_1`.`Score_1` AS `Score_1`, `GB_Tree_29_1`.`Score_2` AS `Score_2` 
FROM `GB_Tree_29_1` UNION ALL SELECT `GB_Tree_29_2`.`KEY` AS `KEY`, `GB_Tree_29_2`.`Score_0` AS `Score_0`, `GB_Tree_29_2`.`Score_1` AS `Score_1`, `GB_Tree_29_2`.`Score_2` AS `Score_2` 
FROM `GB_Tree_29_2` UNION ALL SELECT `GB_Tree_30_0`.`KEY` AS `KEY`, `GB_Tree_30_0`.`Score_0` AS `Score_0`, `GB_Tree_30_0`.`Score_1` AS `Score_1`, `GB_Tree_30_0`.`Score_2` AS `Score_2` 
FROM `GB_Tree_30_0` UNION ALL SELECT `GB_Tree_30_1`.`KEY` AS `KEY`, `GB_Tree_30_1`.`Score_0` AS `Score_0`, `GB_Tree_30_1`.`Score_1` AS `Score_1`, `GB_Tree_30_1`.`Score_2` AS `Score_2` 
FROM `GB_Tree_30_1` UNION ALL SELECT `GB_Tree_30_2`.`KEY` AS `KEY`, `GB_Tree_30_2`.`Score_0` AS `Score_0`, `GB_Tree_30_2`.`Score_1` AS `Score_1`, `GB_Tree_30_2`.`Score_2` AS `Score_2` 
FROM `GB_Tree_30_2` UNION ALL SELECT `GB_Tree_31_0`.`KEY` AS `KEY`, `GB_Tree_31_0`.`Score_0` AS `Score_0`, `GB_Tree_31_0`.`Score_1` AS `Score_1`, `GB_Tree_31_0`.`Score_2` AS `Score_2` 
FROM `GB_Tree_31_0` UNION ALL SELECT `GB_Tree_31_1`.`KEY` AS `KEY`, `GB_Tree_31_1`.`Score_0` AS `Score_0`, `GB_Tree_31_1`.`Score_1` AS `Score_1`, `GB_Tree_31_1`.`Score_2` AS `Score_2` 
FROM `GB_Tree_31_1` UNION ALL SELECT `GB_Tree_31_2`.`KEY` AS `KEY`, `GB_Tree_31_2`.`Score_0` AS `Score_0`, `GB_Tree_31_2`.`Score_1` AS `Score_1`, `GB_Tree_31_2`.`Score_2` AS `Score_2` 
FROM `GB_Tree_31_2`) AS ensemble_score_union), 
`GradBoost_Sum_Scores` AS 
(SELECT `T`.`KEY` AS `KEY`, `T`.`Score_0` AS `Score_0`, `T`.`Score_1` AS `Score_1`, `T`.`Score_2` AS `Score_2` 
FROM (SELECT `Score_Union_CTE`.`KEY` AS `KEY`, sum(`Score_Union_CTE`.`Score_0`) AS `Score_0`, sum(`Score_Union_CTE`.`Score_1`) AS `Score_1`, sum(`Score_Union_CTE`.`Score_2`) AS `Score_2` 
FROM `Score_Union_CTE` GROUP BY `Score_Union_CTE`.`KEY`) AS `T`), 
orig_cte AS 
(SELECT `GradBoost_Sum_Scores`.`KEY` AS `KEY`, 0.308333333333 + 0.1 * `GradBoost_Sum_Scores`.`Score_0` AS `Score_0`, 0.333333333333 + 0.1 * `GradBoost_Sum_Scores`.`Score_1` AS `Score_1`, 0.358333333333 + 0.1 * `GradBoost_Sum_Scores`.`Score_2` AS `Score_2`, NULL AS `Proba_0`, NULL AS `Proba_1`, NULL AS `Proba_2`, NULL AS `LogProba_0`, NULL AS `LogProba_1`, NULL AS `LogProba_2`, CAST(NULL AS SIGNED INTEGER) AS `Decision`, NULL AS `DecisionProba` 
FROM `GradBoost_Sum_Scores`), 
score_class_union AS 
(SELECT scu.`KEY_u` AS `KEY_u`, scu.class AS class, scu.`LogProba` AS `LogProba`, scu.`Proba` AS `Proba`, scu.`Score` AS `Score` 
FROM (SELECT orig_cte.`KEY` AS `KEY_u`, 0 AS class, orig_cte.`LogProba_0` AS `LogProba`, orig_cte.`Proba_0` AS `Proba`, orig_cte.`Score_0` AS `Score` 
FROM orig_cte UNION ALL SELECT orig_cte.`KEY` AS `KEY_u`, 1 AS class, orig_cte.`LogProba_1` AS `LogProba`, orig_cte.`Proba_1` AS `Proba`, orig_cte.`Score_1` AS `Score` 
FROM orig_cte UNION ALL SELECT orig_cte.`KEY` AS `KEY_u`, 2 AS class, orig_cte.`LogProba_2` AS `LogProba`, orig_cte.`Proba_2` AS `Proba`, orig_cte.`Score_2` AS `Score` 
FROM orig_cte) AS scu), 
score_max AS 
(SELECT orig_cte.`KEY` AS `KEY`, orig_cte.`Score_0` AS `Score_0`, orig_cte.`Score_1` AS `Score_1`, orig_cte.`Score_2` AS `Score_2`, orig_cte.`Proba_0` AS `Proba_0`, orig_cte.`Proba_1` AS `Proba_1`, orig_cte.`Proba_2` AS `Proba_2`, orig_cte.`LogProba_0` AS `LogProba_0`, orig_cte.`LogProba_1` AS `LogProba_1`, orig_cte.`LogProba_2` AS `LogProba_2`, orig_cte.`Decision` AS `Decision`, orig_cte.`DecisionProba` AS `DecisionProba`, max_select.`KEY_m` AS `KEY_m`, max_select.`max_Score` AS `max_Score` 
FROM orig_cte LEFT OUTER JOIN (SELECT score_class_union.`KEY_u` AS `KEY_m`, max(score_class_union.`Score`) AS `max_Score` 
FROM score_class_union GROUP BY score_class_union.`KEY_u`) AS max_select ON orig_cte.`KEY` = max_select.`KEY_m`), 
score_soft_max_deltas AS 
(SELECT score_max.`KEY` AS `KEY`, score_max.`Score_0` AS `Score_0`, score_max.`Score_1` AS `Score_1`, score_max.`Score_2` AS `Score_2`, score_max.`Proba_0` AS `Proba_0`, score_max.`Proba_1` AS `Proba_1`, score_max.`Proba_2` AS `Proba_2`, score_max.`LogProba_0` AS `LogProba_0`, score_max.`LogProba_1` AS `LogProba_1`, score_max.`LogProba_2` AS `LogProba_2`, score_max.`Decision` AS `Decision`, score_max.`DecisionProba` AS `DecisionProba`, score_max.`KEY_m` AS `KEY_m`, score_max.`max_Score` AS `max_Score`, exp(score_max.`Score_0` - score_max.`max_Score`) AS `exp_delta_Score_0`, exp(score_max.`Score_1` - score_max.`max_Score`) AS `exp_delta_Score_1`, exp(score_max.`Score_2` - score_max.`max_Score`) AS `exp_delta_Score_2` 
FROM score_max), 
score_class_union_soft AS 
(SELECT soft_scu.`KEY` AS `KEY`, soft_scu.class AS class, soft_scu.`exp_delta_Score` AS `exp_delta_Score` 
FROM (SELECT score_soft_max_deltas.`KEY` AS `KEY`, 0 AS class, score_soft_max_deltas.`exp_delta_Score_0` AS `exp_delta_Score` 
FROM score_soft_max_deltas UNION ALL SELECT score_soft_max_deltas.`KEY` AS `KEY`, 1 AS class, score_soft_max_deltas.`exp_delta_Score_1` AS `exp_delta_Score` 
FROM score_soft_max_deltas UNION ALL SELECT score_soft_max_deltas.`KEY` AS `KEY`, 2 AS class, score_soft_max_deltas.`exp_delta_Score_2` AS `exp_delta_Score` 
FROM score_soft_max_deltas) AS soft_scu), 
score_soft_max AS 
(SELECT score_soft_max_deltas.`KEY` AS `KEY`, score_soft_max_deltas.`Score_0` AS `Score_0`, score_soft_max_deltas.`Score_1` AS `Score_1`, score_soft_max_deltas.`Score_2` AS `Score_2`, score_soft_max_deltas.`Proba_0` AS `Proba_0`, score_soft_max_deltas.`Proba_1` AS `Proba_1`, score_soft_max_deltas.`Proba_2` AS `Proba_2`, score_soft_max_deltas.`LogProba_0` AS `LogProba_0`, score_soft_max_deltas.`LogProba_1` AS `LogProba_1`, score_soft_max_deltas.`LogProba_2` AS `LogProba_2`, score_soft_max_deltas.`Decision` AS `Decision`, score_soft_max_deltas.`DecisionProba` AS `DecisionProba`, score_soft_max_deltas.`KEY_m` AS `KEY_m`, score_soft_max_deltas.`max_Score` AS `max_Score`, score_soft_max_deltas.`exp_delta_Score_0` AS `exp_delta_Score_0`, score_soft_max_deltas.`exp_delta_Score_1` AS `exp_delta_Score_1`, score_soft_max_deltas.`exp_delta_Score_2` AS `exp_delta_Score_2`, sum_exp_t.`KEY_sum` AS `KEY_sum`, sum_exp_t.`sum_ExpDeltaScore` AS `sum_ExpDeltaScore` 
FROM score_soft_max_deltas LEFT OUTER JOIN (SELECT score_class_union_soft.`KEY` AS `KEY_sum`, sum(score_class_union_soft.`exp_delta_Score`) AS `sum_ExpDeltaScore` 
FROM score_class_union_soft GROUP BY score_class_union_soft.`KEY`) AS sum_exp_t ON score_soft_max_deltas.`KEY` = sum_exp_t.`KEY_sum`), 
union_with_max AS 
(SELECT score_class_union.`KEY_u` AS `KEY_u`, score_class_union.class AS class, score_class_union.`LogProba` AS `LogProba`, score_class_union.`Proba` AS `Proba`, score_class_union.`Score` AS `Score`, score_soft_max.`KEY` AS `KEY`, score_soft_max.`Score_0` AS `Score_0`, score_soft_max.`Score_1` AS `Score_1`, score_soft_max.`Score_2` AS `Score_2`, score_soft_max.`Proba_0` AS `Proba_0`, score_soft_max.`Proba_1` AS `Proba_1`, score_soft_max.`Proba_2` AS `Proba_2`, score_soft_max.`LogProba_0` AS `LogProba_0`, score_soft_max.`LogProba_1` AS `LogProba_1`, score_soft_max.`LogProba_2` AS `LogProba_2`, score_soft_max.`Decision` AS `Decision`, score_soft_max.`DecisionProba` AS `DecisionProba`, score_soft_max.`KEY_m` AS `KEY_m`, score_soft_max.`max_Score` AS `max_Score`, score_soft_max.`exp_delta_Score_0` AS `exp_delta_Score_0`, score_soft_max.`exp_delta_Score_1` AS `exp_delta_Score_1`, score_soft_max.`exp_delta_Score_2` AS `exp_delta_Score_2`, score_soft_max.`KEY_sum` AS `KEY_sum`, score_soft_max.`sum_ExpDeltaScore` AS `sum_ExpDeltaScore` 
FROM score_class_union LEFT OUTER JOIN score_soft_max ON score_class_union.`KEY_u` = score_soft_max.`KEY`), 
arg_max_cte AS 
(SELECT score_soft_max.`KEY` AS `KEY`, score_soft_max.`Score_0` AS `Score_0`, score_soft_max.`Score_1` AS `Score_1`, score_soft_max.`Score_2` AS `Score_2`, score_soft_max.`Proba_0` AS `Proba_0`, score_soft_max.`Proba_1` AS `Proba_1`, score_soft_max.`Proba_2` AS `Proba_2`, score_soft_max.`LogProba_0` AS `LogProba_0`, score_soft_max.`LogProba_1` AS `LogProba_1`, score_soft_max.`LogProba_2` AS `LogProba_2`, score_soft_max.`Decision` AS `Decision`, score_soft_max.`DecisionProba` AS `DecisionProba`, score_soft_max.`KEY_m` AS `KEY_m`, score_soft_max.`max_Score` AS `max_Score`, score_soft_max.`exp_delta_Score_0` AS `exp_delta_Score_0`, score_soft_max.`exp_delta_Score_1` AS `exp_delta_Score_1`, score_soft_max.`exp_delta_Score_2` AS `exp_delta_Score_2`, score_soft_max.`KEY_sum` AS `KEY_sum`, score_soft_max.`sum_ExpDeltaScore` AS `sum_ExpDeltaScore`, `arg_max_t_Score`.`KEY_Score` AS `KEY_Score`, `arg_max_t_Score`.`arg_max_Score` AS `arg_max_Score`, soft_max_comp.`KEY_softmax` AS `KEY_softmax`, soft_max_comp.`SoftProba_0` AS `SoftProba_0`, soft_max_comp.`SoftProba_1` AS `SoftProba_1`, soft_max_comp.`SoftProba_2` AS `SoftProba_2` 
FROM score_soft_max LEFT OUTER JOIN (SELECT union_with_max.`KEY` AS `KEY_Score`, min(union_with_max.class) AS `arg_max_Score` 
FROM union_with_max 
WHERE union_with_max.`max_Score` <= union_with_max.`Score` GROUP BY union_with_max.`KEY`) AS `arg_max_t_Score` ON score_soft_max.`KEY` = `arg_max_t_Score`.`KEY_Score` LEFT OUTER JOIN (SELECT score_soft_max.`KEY` AS `KEY_softmax`, score_soft_max.`exp_delta_Score_0` / score_soft_max.`sum_ExpDeltaScore` AS `SoftProba_0`, score_soft_max.`exp_delta_Score_1` / score_soft_max.`sum_ExpDeltaScore` AS `SoftProba_1`, score_soft_max.`exp_delta_Score_2` / score_soft_max.`sum_ExpDeltaScore` AS `SoftProba_2` 
FROM score_soft_max) AS soft_max_comp ON soft_max_comp.`KEY_softmax` = `arg_max_t_Score`.`KEY_Score`)
 SELECT arg_max_cte.`KEY` AS `KEY`, arg_max_cte.`Score_0` AS `Score_0`, arg_max_cte.`Score_1` AS `Score_1`, arg_max_cte.`Score_2` AS `Score_2`, arg_max_cte.`SoftProba_0` AS `Proba_0`, arg_max_cte.`SoftProba_1` AS `Proba_1`, arg_max_cte.`SoftProba_2` AS `Proba_2`, CASE WHEN (arg_max_cte.`SoftProba_0` IS NULL OR arg_max_cte.`SoftProba_0` > 0.0) THEN ln(arg_max_cte.`SoftProba_0`) ELSE -1.79769313486231e+308 END AS `LogProba_0`, CASE WHEN (arg_max_cte.`SoftProba_1` IS NULL OR arg_max_cte.`SoftProba_1` > 0.0) THEN ln(arg_max_cte.`SoftProba_1`) ELSE -1.79769313486231e+308 END AS `LogProba_1`, CASE WHEN (arg_max_cte.`SoftProba_2` IS NULL OR arg_max_cte.`SoftProba_2` > 0.0) THEN ln(arg_max_cte.`SoftProba_2`) ELSE -1.79769313486231e+308 END AS `LogProba_2`, arg_max_cte.`arg_max_Score` AS `Decision`, CASE WHEN (arg_max_cte.`SoftProba_0` <= CASE WHEN (arg_max_cte.`SoftProba_1` <= arg_max_cte.`SoftProba_2`) THEN arg_max_cte.`SoftProba_2` ELSE arg_max_cte.`SoftProba_1` END) THEN CASE WHEN (arg_max_cte.`SoftProba_1` <= arg_max_cte.`SoftProba_2`) THEN arg_max_cte.`SoftProba_2` ELSE arg_max_cte.`SoftProba_1` END ELSE arg_max_cte.`SoftProba_0` END AS `DecisionProba` 
FROM arg_max_cte