uid | name | service_type | created | \n", "
---|---|---|---|
c411a7d3-34ec-4c99-8a23-6c0638d0aae7 | WML instance | watson_machine_learning | 2020-09-22T12:23:07.383Z |
3f583662-560d-40c8-9473-8826599726d5 | WML instance | watson_machine_learning | 2020-09-18T03:18:04.596Z |
998 | WML pre_production | watson_machine_learning | 2020-09-17T17:47:31.491Z |
999 | WML production | watson_machine_learning | 2020-09-17T17:47:31.275Z |
source_uid | name | created | type | frameworks | binding_uid | is_subscribed | \n", "
---|---|---|---|---|---|---|
d9f69282-4c9a-4e2f-8293-8589695853da | Scottda-telco-9-22-2020_MODEL | 2020-09-22T12:22:26.002Z | model | mllib_2.3 | 999 | False |
d9f69282-4c9a-4e2f-8293-8589695853da | Scottda-telco-9-22-2020_MODEL | 2020-09-22T12:22:26.002Z | model | mllib_2.3 | 998 | False |
d9f69282-4c9a-4e2f-8293-8589695853da | Scottda-telco-9-22-2020_MODEL | 2020-09-22T12:22:26.002Z | model | mllib_2.3 | c411a7d3-34ec-4c99-8a23-6c0638d0aae7 | False |
81a2aa32-8c5e-4e09-a5a2-944a16dda2e8 | JRT_WOSFullConfig_MODEL | 2020-09-18T03:14:13.002Z | model | mllib_2.3 | 999 | True |
81a2aa32-8c5e-4e09-a5a2-944a16dda2e8 | JRT_WOSFullConfig_MODEL | 2020-09-18T03:14:13.002Z | model | mllib_2.3 | 998 | True |
81a2aa32-8c5e-4e09-a5a2-944a16dda2e8 | JRT_WOSFullConfig_MODEL | 2020-09-18T03:14:13.002Z | model | mllib_2.3 | 3f583662-560d-40c8-9473-8826599726d5 | True |
2121433b-bec6-4ded-ba8d-4fd34d4e24d2 | GermanCreditRiskModelICP | 2020-09-17T17:54:02.002Z | model | mllib_2.3 | 999 | True |
2121433b-bec6-4ded-ba8d-4fd34d4e24d2 | GermanCreditRiskModelICP | 2020-09-17T17:54:02.002Z | model | mllib_2.3 | 998 | True |
3732c133-bdaa-4fb1-996e-e89118ae23c0 | GermanCreditRiskModelPreProdICP | 2020-09-17T17:53:18.002Z | model | mllib_2.3 | 999 | True |
3732c133-bdaa-4fb1-996e-e89118ae23c0 | GermanCreditRiskModelPreProdICP | 2020-09-17T17:53:18.002Z | model | mllib_2.3 | 998 | True |
8bf25c2f-1ffc-499a-9eaf-48a02c9dcb53 | GermanCreditRiskModelChallengerICP | 2020-09-17T17:47:32.002Z | model | scikit-learn_0.20 | 999 | True |
8bf25c2f-1ffc-499a-9eaf-48a02c9dcb53 | GermanCreditRiskModelChallengerICP | 2020-09-17T17:47:32.002Z | model | scikit-learn_0.20 | 998 | True |
af0557f3-d6ad-4f03-ace2-a5134199d1c9 | scottda-9-15-20_MODEL | 2020-09-15T23:38:46.002Z | model | mllib_2.3 | 999 | False |
af0557f3-d6ad-4f03-ace2-a5134199d1c9 | scottda-9-15-20_MODEL | 2020-09-15T23:38:46.002Z | model | mllib_2.3 | 998 | False |
af0557f3-d6ad-4f03-ace2-a5134199d1c9 | scottda-9-15-20_MODEL | 2020-09-15T23:38:46.002Z | model | mllib_2.3 | c411a7d3-34ec-4c99-8a23-6c0638d0aae7 | False |
cdf2a724-52b9-4cda-ac0c-d7d339467d51 | SDAmodel-9-11-2020 | 2020-09-11T20:53:33.002Z | model | mllib_2.3 | 999 | False |
cdf2a724-52b9-4cda-ac0c-d7d339467d51 | SDAmodel-9-11-2020 | 2020-09-11T20:53:33.002Z | model | mllib_2.3 | 998 | False |
cdf2a724-52b9-4cda-ac0c-d7d339467d51 | SDAmodel-9-11-2020 | 2020-09-11T20:53:33.002Z | model | mllib_2.3 | c411a7d3-34ec-4c99-8a23-6c0638d0aae7 | False |
f9a9d722-e00e-4f83-9bb7-f606f0863675 | ChurnSparkModelV1 | 2020-09-10T03:57:40.002Z | model | mllib_2.3 | 999 | True |
f9a9d722-e00e-4f83-9bb7-f606f0863675 | ChurnSparkModelV1 | 2020-09-10T03:57:40.002Z | model | mllib_2.3 | 998 | True |
f9a9d722-e00e-4f83-9bb7-f606f0863675 | ChurnSparkModelV1 | 2020-09-10T03:57:40.002Z | model | mllib_2.3 | 3f583662-560d-40c8-9473-8826599726d5 | True |
uid | name | type | binding_uid | created | \n", "
---|---|---|---|---|
14a4e07c-6cae-4b60-828d-40be2661ae73 | Scottda-telco-9-22-2020_MODEL | model | 999 | 2020-09-22T12:24:50.336Z |
58b43991-540e-4179-a867-445089f58c33 | ChurnSparkModelV1 | model | 999 | 2020-09-18T17:12:44.963Z |
e70d218c-e77a-442d-99e1-2b712caf84a4 | JRT_WOSFullConfig_MODEL | model | 999 | 2020-09-18T03:20:35.876Z |
4181e595-765c-485b-b3b7-170159194c49 | GermanCreditRiskModelICP | model | 999 | 2020-09-17T17:54:14.017Z |
e19daf91-8069-4a70-954b-4ca1521883c5 | GermanCreditRiskModelPreProdICP | model | 998 | 2020-09-17T17:53:29.055Z |
20cd4e73-6007-41be-8d20-4fffc029eddb | GermanCreditRiskModelChallengerICP | model | 998 | 2020-09-17T17:52:46.833Z |
CheckingStatus | LoanDuration | CreditHistory | LoanPurpose | LoanAmount | ExistingSavings | EmploymentDuration | InstallmentPercent | Sex | OthersOnLoan | CurrentResidenceDuration | OwnsProperty | Age | InstallmentPlans | Housing | ExistingCreditsCount | Job | Dependents | Telephone | ForeignWorker | Risk | record_timestamp | \n", "
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
less_0 | 10 | all_credits_paid_back | car_new | 250 | 500_to_1000 | 4_to_7 | 3 | male | none | 2 | real_estate | 23 | none | rent | 1 | skilled | 1 | none | yes | No Risk | 2020-09-22 12:26:01.985000+00:00 |
no_checking | 23 | prior_payments_delayed | appliances | 6964 | 100_to_500 | 4_to_7 | 4 | female | none | 3 | car_other | 39 | none | own | 1 | skilled | 1 | none | yes | Risk | 2020-09-22 12:26:01.985000+00:00 |
0_to_200 | 30 | outstanding_credit | appliances | 3464 | 100_to_500 | greater_7 | 3 | male | guarantor | 4 | savings_insurance | 51 | stores | free | 1 | skilled | 1 | yes | yes | Risk | 2020-09-22 12:26:01.986000+00:00 |
no_checking | 23 | outstanding_credit | car_used | 2681 | 500_to_1000 | greater_7 | 4 | male | none | 3 | car_other | 33 | stores | free | 1 | unskilled | 1 | yes | yes | No Risk | 2020-09-22 12:26:01.986000+00:00 |
0_to_200 | 18 | prior_payments_delayed | furniture | 1673 | less_100 | 1_to_4 | 2 | male | none | 3 | car_other | 30 | none | own | 2 | skilled | 1 | none | yes | Risk | 2020-09-22 12:26:01.986000+00:00 |
no_checking | 44 | outstanding_credit | radio_tv | 3476 | unknown | greater_7 | 4 | male | co-applicant | 4 | unknown | 60 | none | free | 2 | skilled | 2 | yes | yes | Risk | 2020-09-22 12:26:01.986000+00:00 |
less_0 | 8 | no_credits | education | 803 | less_100 | unemployed | 1 | male | none | 1 | savings_insurance | 19 | stores | rent | 1 | skilled | 1 | none | yes | No Risk | 2020-09-22 12:26:01.986000+00:00 |
0_to_200 | 7 | all_credits_paid_back | car_new | 250 | less_100 | unemployed | 1 | male | none | 1 | real_estate | 19 | stores | rent | 1 | skilled | 1 | none | yes | No Risk | 2020-09-22 12:26:01.986000+00:00 |
0_to_200 | 33 | credits_paid_to_date | radio_tv | 3548 | 100_to_500 | 1_to_4 | 3 | male | none | 4 | car_other | 28 | none | own | 2 | skilled | 1 | yes | yes | Risk | 2020-09-22 12:26:01.986000+00:00 |
no_checking | 24 | prior_payments_delayed | retraining | 4158 | 100_to_500 | greater_7 | 3 | female | none | 2 | savings_insurance | 35 | stores | own | 1 | unskilled | 2 | none | yes | Risk | 2020-09-22 12:26:01.986000+00:00 |
ts | id | measurement_id | value | lower limit | upper limit | tags | binding_id | subscription_id | deployment_id | \n", "
---|---|---|---|---|---|---|---|---|---|
2020-09-22 12:26:08.084000+00:00 | true_positive_rate | 10533f52-37e1-4147-bc30-a0496fea40ab | 0.3333333333333333 | model_type: original | 999 | 14a4e07c-6cae-4b60-828d-40be2661ae73 | e85d6845-4b6b-44bf-a483-80a522852620 | ||
2020-09-22 12:26:08.084000+00:00 | area_under_roc | 10533f52-37e1-4147-bc30-a0496fea40ab | 0.6358974358974359 | 0.7 | model_type: original | 999 | 14a4e07c-6cae-4b60-828d-40be2661ae73 | e85d6845-4b6b-44bf-a483-80a522852620 | |
2020-09-22 12:26:08.084000+00:00 | precision | 10533f52-37e1-4147-bc30-a0496fea40ab | 0.7333333333333333 | model_type: original | 999 | 14a4e07c-6cae-4b60-828d-40be2661ae73 | e85d6845-4b6b-44bf-a483-80a522852620 | ||
2020-09-22 12:26:08.084000+00:00 | f1_measure | 10533f52-37e1-4147-bc30-a0496fea40ab | 0.45833333333333326 | model_type: original | 999 | 14a4e07c-6cae-4b60-828d-40be2661ae73 | e85d6845-4b6b-44bf-a483-80a522852620 | ||
2020-09-22 12:26:08.084000+00:00 | accuracy | 10533f52-37e1-4147-bc30-a0496fea40ab | 0.7346938775510204 | model_type: original | 999 | 14a4e07c-6cae-4b60-828d-40be2661ae73 | e85d6845-4b6b-44bf-a483-80a522852620 | ||
2020-09-22 12:26:08.084000+00:00 | log_loss | 10533f52-37e1-4147-bc30-a0496fea40ab | 0.44464405658838824 | model_type: original | 999 | 14a4e07c-6cae-4b60-828d-40be2661ae73 | e85d6845-4b6b-44bf-a483-80a522852620 | ||
2020-09-22 12:26:08.084000+00:00 | false_positive_rate | 10533f52-37e1-4147-bc30-a0496fea40ab | 0.06153846153846154 | model_type: original | 999 | 14a4e07c-6cae-4b60-828d-40be2661ae73 | e85d6845-4b6b-44bf-a483-80a522852620 | ||
2020-09-22 12:26:08.084000+00:00 | area_under_pr | 10533f52-37e1-4147-bc30-a0496fea40ab | 0.6011337868480725 | model_type: original | 999 | 14a4e07c-6cae-4b60-828d-40be2661ae73 | e85d6845-4b6b-44bf-a483-80a522852620 | ||
2020-09-22 12:26:08.084000+00:00 | recall | 10533f52-37e1-4147-bc30-a0496fea40ab | 0.3333333333333333 | model_type: original | 999 | 14a4e07c-6cae-4b60-828d-40be2661ae73 | e85d6845-4b6b-44bf-a483-80a522852620 |
ts | feature | feature_value | fairness_biased | fairness_value | fairness_fav_class | binding_id | subscription_id | asset_revision | deployment_id | process | \n", "
---|---|---|---|---|---|---|---|---|---|---|
2020-09-22 12:27:35.998269+00:00 | Sex | female | True | 0.912 | 73.0 | 999 | 14a4e07c-6cae-4b60-828d-40be2661ae73 | 14a4e07c-6cae-4b60-828d-40be2661ae73 | e85d6845-4b6b-44bf-a483-80a522852620 | |
2020-09-22 12:27:35.998269+00:00 | Age | [18, 25] | False | 1.077 | 84.0 | 999 | 14a4e07c-6cae-4b60-828d-40be2661ae73 | 14a4e07c-6cae-4b60-828d-40be2661ae73 | e85d6845-4b6b-44bf-a483-80a522852620 |
ts | id | measurement_id | value | lower limit | upper limit | tags | binding_id | subscription_id | deployment_id | \n", "
---|---|---|---|---|---|---|---|---|---|
2020-09-22 12:29:54.950570+00:00 | sensitivity | 31a8e59b-26d3-421a-b450-535ffb2239f2 | 0.67 | 0.9 | region: us-south | 999 | 14a4e07c-6cae-4b60-828d-40be2661ae73 | e85d6845-4b6b-44bf-a483-80a522852620 | |
2020-09-22 12:29:54.950570+00:00 | specificity | 31a8e59b-26d3-421a-b450-535ffb2239f2 | 0.78 | region: us-south | 999 | 14a4e07c-6cae-4b60-828d-40be2661ae73 | e85d6845-4b6b-44bf-a483-80a522852620 |
\n", " | predictedLabel | \n", "Sex | \n", "count | \n", "
---|---|---|---|
0 | \n", "No Risk | \n", "female | \n", "64 | \n", "
1 | \n", "No Risk | \n", "male | \n", "101 | \n", "
2 | \n", "Risk | \n", "female | \n", "7 | \n", "
3 | \n", "Risk | \n", "male | \n", "36 | \n", "
\n", " | scoring_id | \n", "predictedLabel | \n", "probability | \n", "
---|---|---|---|
0 | \n", "a3c82ddb-f855-4376-9519-3056f531a93a-1 | \n", "No Risk | \n", "[0.647647010934288, 0.352352989065712] | \n", "
1 | \n", "a3c82ddb-f855-4376-9519-3056f531a93a-19 | \n", "Risk | \n", "[0.4087909352812048, 0.5912090647187953] | \n", "
2 | \n", "a3c82ddb-f855-4376-9519-3056f531a93a-41 | \n", "Risk | \n", "[0.19114337018658423, 0.8088566298134158] | \n", "
3 | \n", "a3c82ddb-f855-4376-9519-3056f531a93a-42 | \n", "No Risk | \n", "[0.7613702604004451, 0.238629739599555] | \n", "
4 | \n", "a3c82ddb-f855-4376-9519-3056f531a93a-43 | \n", "No Risk | \n", "[0.6848782221336038, 0.3151217778663962] | \n", "
5 | \n", "a3c82ddb-f855-4376-9519-3056f531a93a-44 | \n", "No Risk | \n", "[0.9527937744126087, 0.0472062255873913] | \n", "
6 | \n", "a3c82ddb-f855-4376-9519-3056f531a93a-45 | \n", "No Risk | \n", "[0.5576070634022912, 0.44239293659770895] | \n", "
7 | \n", "a3c82ddb-f855-4376-9519-3056f531a93a-46 | \n", "No Risk | \n", "[0.9228491405250228, 0.07715085947497724] | \n", "
8 | \n", "a3c82ddb-f855-4376-9519-3056f531a93a-47 | \n", "Risk | \n", "[0.40875977146849474, 0.5912402285315054] | \n", "
9 | \n", "a3c82ddb-f855-4376-9519-3056f531a93a-48 | \n", "No Risk | \n", "[0.7156516908661615, 0.2843483091338384] | \n", "