{ "cells": [ { "cell_type": "code", "execution_count": 3, "id": "8d3ef3e3-5325-4ef8-8ccd-c4a5cf8a5a86", "metadata": {}, "outputs": [], "source": [ "# Copyright 2023 Shane Khalid. All Rights Reserved.\n", "#\n", "# Licensed under the Apache License, Version 2.0 (the \"License\");\n", "# you may not use this file except in compliance with the License.\n", "# You may obtain a copy of the License at\n", "#\n", "# http://www.apache.org/licenses/LICENSE-2.0\n", "#\n", "# Unless required by applicable law or agreed to in writing, software\n", "# distributed under the License is distributed on an \"AS IS\" BASIS,\n", "# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n", "# See the License for the specific language governing permissions and\n", "# limitations under the License.\n", "# ==============================================================================License." ] }, { "cell_type": "markdown", "id": "72c1415a-8f22-46ed-81d5-f72b6a28d209", "metadata": {}, "source": [ "# Stock Prediction Deep Learning Model\n", "\n", "##### Stock/Asset prices are time-series data and so I am implementing a LSTM (Long Short-Term Memory) which is a type of RNN (Recurrent Neural Network) that can remember information over a long period of time. " ] }, { "cell_type": "markdown", "id": "1055917c", "metadata": { "papermill": { "duration": 0.01662, "end_time": "2023-07-30T10:00:49.783467", "exception": false, "start_time": "2023-07-30T10:00:49.766847", "status": "completed" }, "tags": [] }, "source": [ "##### Import libraries. I normally use yfinance for this, but I have a clean dataset loading in" ] }, { "cell_type": "code", "execution_count": 1, "id": "6785e45e", "metadata": { "papermill": { "duration": 13.344944, "end_time": "2023-07-30T10:01:03.145307", "exception": false, "start_time": "2023-07-30T10:00:49.800363", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "2023-10-30 17:36:22.078914: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:9342] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n", "2023-10-30 17:36:22.079005: E tensorflow/compiler/xla/stream_executor/cuda/cuda_fft.cc:609] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n", "2023-10-30 17:36:22.079025: E tensorflow/compiler/xla/stream_executor/cuda/cuda_blas.cc:1518] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n", "2023-10-30 17:36:22.175099: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n", "To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n", "2023-10-30 17:36:27.494027: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:880] could not open file to read NUMA node: /sys/bus/pci/devices/0000:43:00.0/numa_node\n", "Your kernel may have been built without NUMA support.\n", "2023-10-30 17:36:27.650172: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:880] could not open file to read NUMA node: /sys/bus/pci/devices/0000:43:00.0/numa_node\n", "Your kernel may have been built without NUMA support.\n", "2023-10-30 17:36:27.650226: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:880] could not open file to read NUMA node: /sys/bus/pci/devices/0000:43:00.0/numa_node\n", "Your kernel may have been built without NUMA support.\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Num GPUs Available: 1\n", "GPU is available and being used.\n" ] } ], "source": [ "import yfinance as yf\n", "\n", "import tensorflow as tf\n", "from tensorflow import keras\n", "\n", "from keras.layers import GRU, Dropout, SimpleRNN, LSTM, Dense, SimpleRNN, GRU\n", "from keras.models import Sequential\n", "from sklearn.preprocessing import MinMaxScaler\n", "print(\"Num GPUs Available: \", len(tf.config.experimental.list_physical_devices('GPU')))\n", "\n", "import torch\n", "if torch.cuda.is_available():\n", " device = torch.device(\"cuda\")\n", " print(\"GPU is available and being used.\")\n", "else:\n", " device = torch.device(\"cpu\")\n", " print(\"GPU is not available, using CPU instead.\")\n", "\n", "import pandas as pd\n", "import numpy as np\n", "\n", "import plotly.express as px\n", "import statsmodels.api as sm\n", "import matplotlib.pyplot as plt\n", "import plotly.graph_objects as go\n", "\n", "import matplotlib.pyplot as plt\n", "import matplotlib.dates as dates\n", "import seaborn as sns\n", "import math\n", "import datetime\n", "import keras\n", "import warnings\n", "warnings.filterwarnings('ignore')\n", "\n", "from datetime import date, timedelta\n", "from keras.models import Sequential\n", "from keras.layers import Dense\n", "from keras.layers import LSTM\n", "from keras.layers import Dropout\n", "from keras.layers import *\n", "from keras.callbacks import EarlyStopping\n", "\n", "from keras.metrics import Accuracy\n", "from keras.metrics import F1Score\n", "from keras.metrics import Precision\n", "\n", "\n", "from sklearn.preprocessing import MinMaxScaler\n", "from sklearn.metrics import mean_squared_error\n", "from sklearn.metrics import mean_absolute_error\n", "#from sklearn.metrics import accuracy_score\n", "#from sklearn.metrics import precision_score\n", "#from sklearn.metrics import f1_score\n", "\n", "%matplotlib inline" ] }, { "cell_type": "markdown", "id": "48b3cb15", "metadata": { "papermill": { "duration": 0.016758, "end_time": "2023-07-30T10:01:03.179177", "exception": false, "start_time": "2023-07-30T10:01:03.162419", "status": "completed" }, "tags": [] }, "source": [ "##### Load Data (Google stock)" ] }, { "cell_type": "code", "execution_count": 2, "id": "87a5801f", "metadata": { "papermill": { "duration": 0.065846, "end_time": "2023-07-30T10:01:03.261994", "exception": false, "start_time": "2023-07-30T10:01:03.196148", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "
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DateOpenHighLowCloseAdj CloseVolume
02010-01-0415.68943915.75350415.62162215.68443415.68443478169752
12010-01-0515.69519515.71171215.55405415.61536515.615365120067812
22010-01-0615.66216215.66216215.17417415.22172215.221722158988852
32010-01-0715.25025015.26526514.83108114.86736714.867367256315428
42010-01-0814.81481515.09634614.74249215.06556615.065566188783028
52010-01-1115.12662715.12662714.86586615.04279315.042793288227484
62010-01-1214.95620614.96896914.71471514.77677714.776777193937868
72010-01-1314.42667714.72422414.36186214.69194214.691942259604136
82010-01-1414.61211214.86987014.58483514.76101114.761011169434396
92010-01-1514.84834814.85385414.46546514.51451514.514515217162620
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" ], "text/plain": [ " Date Open High Low Close Adj Close Volume\n", "0 2010-01-04 15.689439 15.753504 15.621622 15.684434 15.684434 78169752\n", "1 2010-01-05 15.695195 15.711712 15.554054 15.615365 15.615365 120067812\n", "2 2010-01-06 15.662162 15.662162 15.174174 15.221722 15.221722 158988852\n", "3 2010-01-07 15.250250 15.265265 14.831081 14.867367 14.867367 256315428\n", "4 2010-01-08 14.814815 15.096346 14.742492 15.065566 15.065566 188783028\n", "5 2010-01-11 15.126627 15.126627 14.865866 15.042793 15.042793 288227484\n", "6 2010-01-12 14.956206 14.968969 14.714715 14.776777 14.776777 193937868\n", "7 2010-01-13 14.426677 14.724224 14.361862 14.691942 14.691942 259604136\n", "8 2010-01-14 14.612112 14.869870 14.584835 14.761011 14.761011 169434396\n", "9 2010-01-15 14.848348 14.853854 14.465465 14.514515 14.514515 217162620" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "google_training_complete = pd.read_csv(\"./Google_Stock_Train (2010-2022).csv\")\n", "\n", "# Convert 'Date' column to datetime format\n", "google_training_complete['Date'] = pd.to_datetime(google_training_complete['Date'])\n", "\n", "google_training_complete.head(10)" ] }, { "cell_type": "markdown", "id": "8b2edc61", "metadata": { "papermill": { "duration": 0.017277, "end_time": "2023-07-30T10:01:03.298241", "exception": false, "start_time": "2023-07-30T10:01:03.280964", "status": "completed" }, "tags": [] }, "source": [ "## Exploratory Data Analysis (EDA)" ] }, { "cell_type": "code", "execution_count": 3, "id": "725e57da", "metadata": { "papermill": { "duration": 1.622414, "end_time": "2023-07-30T10:01:04.937553", "exception": false, "start_time": "2023-07-30T10:01:03.315139", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ " \n", " " ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "hovertemplate": "Date=%{x}
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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Line chart for Google stock price over time\n", "fig1 = px.line(google_training_complete, x='Date', y='Close', title='Google Stock Price Over Time')\n", "fig1.show()" ] }, { "cell_type": "code", "execution_count": 4, "id": "7c39b6a4", "metadata": { "papermill": { "duration": 0.191997, "end_time": "2023-07-30T10:01:05.152165", "exception": false, "start_time": "2023-07-30T10:01:04.960168", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "hovertemplate": "Date=%{x}
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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Box plot of Google stock prices for each year\n", "google_training_complete['Year'] = google_training_complete['Date'].dt.year\n", "fig3 = px.box(google_training_complete, x='Year', y='Close', title='Google Stock Prices - Yearly Box Plot')\n", "fig3.show()" ] }, { "cell_type": "code", "execution_count": 7, "id": "e49a09d2", "metadata": { "papermill": { "duration": 0.111731, "end_time": "2023-07-30T10:01:05.426101", "exception": false, "start_time": "2023-07-30T10:01:05.314370", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "close": [ 15.684434, 15.615365, 15.221722, 14.867367, 15.065566, 15.042793, 14.776777, 14.691942, 14.761011, 14.514515, 14.705205, 14.524775, 14.589089, 13.764014, 13.513514, 13.574074, 13.566066, 13.370621, 13.261762, 13.338839, 13.291291, 13.534034, 13.182683, 13.295546, 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Candlestick chart for stock prices\n", "fig4 = go.Figure(data=[go.Candlestick(x=google_training_complete['Date'],\n", " open=google_training_complete['Open'],\n", " high=google_training_complete['High'],\n", " low=google_training_complete['Low'],\n", " close=google_training_complete['Close'])])\n", "\n", "fig4.update_layout(title='Google Stock Prices - Candlestick Chart',\n", " xaxis_title='Date',\n", " yaxis_title='Stock Price')\n", "\n", "fig4.show()" ] }, { "cell_type": "code", "execution_count": 8, "id": "ea22e3e3", "metadata": { "papermill": { "duration": 0.119186, "end_time": "2023-07-30T10:01:05.567356", "exception": false, "start_time": "2023-07-30T10:01:05.448170", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "alignmentgroup": "True", "bingroup": "x", "hovertemplate": "Daily_Return=%{x}
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", 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BAgQIEIguIHiJPgU6QIAAAQIECBAgQIAAAQIECLRVQPDS1pk1LgIECBAgQIAAAQIECBAgQCC6gOAl+hToAAECBAgQIECAAAECBAgQINBWAcFLW2fWuAgQIECAAAECBAgQIECAAIHoAoKX6FOgAwQIECBAgAABAgQIECBAgEBbBQQvbZ1Z4yJAgAABAgQIECBAgAABAgSiCwheok+BDhAgQIAAAQIECBAgQIAAAQJtFRC8tHVmjYsAAQIECBAgQIAAAQIECBCILiB4iT4FOkCAAAECTRJ47lsvJi/NOLyQLu/9LzMKaUcjuwv88I8tK4Tln5+5duR2bp9/0chtHLVhYTLrhENGbkcDBAgQIECAQPUCgpfqzVUkQIAAgQYLCF6aMXmCl2bMk14SIECAAIFxEBC8jMMsGyMBAgQIFCYgeCmMstSGBC+l8mqcAAECBAgQGEBA8DIAlksJECBAgIDgpRn3gOClGfOklwQIECBAYBwEBC/jMMvGSIAAgZYKHL94ZbLzmecmjW7TNZcl8+fO6XvEoY0zF56UrFx2el/vEbz0xRT9IsFL9CnQAQIECBAgMJLAuutuTm669Y7krs3rRmqnDm8WvNRhFvSBAAECBIYSyIcm4X/Q62/ckiw/e1HfQYrgZSj62r9J8FL7KdJBAgQIECDQVWDzbVuT1Vdu6Hxt5n77CF7cJwQIECBAIKZAt9AkDV/uv3Njp2vpx2k/s/8DP/fCq5J77ts+MYRDZx+U3LJxTefjVVdcm2y5/e6Jr6Uraax4iTnj/dcWvPRv5UoCBAgQIFBHASte6jgr+kSAAAECYyfQa7XKvBOXJmsuOS9ZfMqCJIQr11998YRNeM9hcw6e+Fy3NkLosvXebRO/Ycn+j1/w0ozbTPDSjHnSSwIECBAg0EtA8OLeIECAAAECNRDoFbxMtX0ohCoPfPWRiZUt3a4Nn7to+Vmd4CZ9pWHOKW8+JnkhOayQ0e/9LzMKaUcjuwu0LXg55oZFycHHvc5UEyBAgACBsREQvIzNVBsoAQIECNRZoJ8VL6H/+UN4s1uKurURQpZur7CK5udOPCZ5cU/BS53vi9C3tgUvR1+3KDnkeMFL3e87/SNAgECTBf71hf4fTlDkOF+1946uzQleilTWFgECBAgQGFKgnzNewjULjpqfrL30/E6Vfla8ZLcq5btmq9GQk1Xx29oWvBy1YWEy64RDKlZUjgABAgTGSeDZb8YJXvZ9peBlnO4zYyVAgACBhgnkg5f0FPzsU43yIcppS1d3Rpkeohs+PmDmvpPOgQnnwjy449FJp+iHz13wnjOS2bMPSV6acXghUrYaFcLYtRHBS3m2WiZAgACBdgo899zrowxsn32+1rWuFS9RpkNRAgQIECAwWSC/hSh8NX36UHpl/qlGYZtRNnjJPrJwqqcapU9DsuKlGXeh4KUZ86SXBAgQIFAfgX97Ok7w8kP7Tw5esv82S3UWnXzsxOrl+oj135M9vvu9V/+Xu5IAAQIECIy3gOClGfMveGnGPOklAQIECNRH4JtPHRqlM6884KEodassKnipUlstAgQIEGi8gOClGVMoeGnGPOklAQIECNRH4N+fiBO8/OCBgpf63AV6QoAAAQIEaiAgeKnBJPTRBcFLH0guIUCAAAECGYF/fzxS8PJawYsbkQABAgQIEMgICF6acTsIXpoxT3pJgAABAvUR+NajcYKXHzhY8FKfu0BPCBAgQIBADQQELzWYhD66IHjpA8klBAgQIEAgI/D8w4dF8XjF7Aej1K2yqDNeqtRWiwABAgQaLxCCl5d9Y24h43jhNbsKaUcjuwu87ZWrCmH5i4c+NHI7W95ywchtHHX925PZJxwycjsaIECAAAECvQRe+Fqc4GXv1wte3JUECBAgQIBARkDw0ozbQfDSjHnSSwIECBCoj8C3vxoneHn54YKX+twFekKAAAECBGogIHipwST00QXBSx9ILiFAgAABAhmBb28/PIrHy+d+NUrdKovaalSltloECBAg0HgBwUszplDw0ox50ksCBAgQqI/Ad/4xTvDysjcKXupzF+gJAQIECBD4nsC27TuSJSsun2Sx5pLzksWnLKjER/BSCfPIRQQvIxNqgAABAgTGTODFr8QJXvb6ccHLmN1qhkuAAAECdRbYfNvWZPWVG5LlZy9KVi47vdPVbp8rcwyClzJ1i2tb8FKcpZYIECBAYDwEdt33o1EGOuPIf4pSt8qithpVqa0WAQIECIwkcNrS1ckbDp+VrL30/EntrLvu5uSmW+9I7tq8rvP54xevTBYcNT/ZcvvdE9flV8WsuuLaSV/fdM1lyfy5cybef+bCk5L1N26ZeH/6dcHLSFNY2ZsFL5VRK0SAAAECLRF46Utxgpc9f1rw0pJbyDAIECBAoA0C805cmnTbVpRuP0rDkRC8hFcaxKQhy/13bux8Pny89d5tE1/vFtzsfOa5JL3+3AuvSp7a+Wxyy8Y1yb89/2Ky1xMeJ133+6ltwcvRN7w9mXW8x0nX/b7TPwIECDRZ4KW/LebfN4Ma7Pmm7YO+pXHXW/HSuCnTYQIECIynQD5cyStkQ5kQvIQVK+l2pHBt/usXLT9r0rkwU70/G8w8/52XkuTxYn4j9MJrdo3nZFYw6rYFL8d+elFy8HEHVyCnBAECBAiMq8BLfxMpeDlO8DKu95xxEyBAgEANBQZZ8TJV8BLa6fZKV9Pkg5ts8GKrUQ1vjC5dalvwctT1b09mn2DFSzPuPr0kQIBAMwVe+ut5UTq+5wn3R6lbZVErXqrUVosAAQIERhIY5IyX6YKXqZ6EJHgZaZpq8WbBSy2mQScIECBAoEECu+58Y5TezjjxH6PUrbKo4KVKbbUIECBAYCSBfp9qlA9OwhktD+54dOJMl/zHoVPhcxe854zOAbuCl5GmqRZvFrzUYhp0ggABAgQaJLDrL/5TlN7OeMv/ilK3yqKClyq11SJAgACBkQXSs16yDeVXr4TgJByOm75m7rfPROiSfi7/VKPsNYKXkacpegOCl+hToAMECBAg0DCBXbf/eJQezzj5K1HqVllU8FKltloECBAgUIlAt8N1iyrsjJeiJMttR/BSrq/WCRAgQKB9Aru+8BNRBjXj1H+IUrfKooKXKrXVIkCAAIFKBAQvlTDXuojgpdbTo3MECBAgUEOBXX92RJRezfj5L0epW2VRwUuV2moRIECAQOMFrHhpxhQKXpoxT3pJgAABAvUR2LXlJ6N0Zsaiv49St8qigpcqtdUiQIAAgcYLCF6aMYWCl2bMk14SIECAQH0Edv3pT0XpzIxf+LsodassKnipUlstAgQIEGi8gOClGVP4869cVUhH//yhD43czq0/9/6R2zhqw8Jk1gmHjNyOBggQIECAQC+BXX/y01FwZvzil6LUrbKo4KVKbbUIECBAoPECgpdmTKHgpRnzpJcECBAgUB+BFz93dJTO7HXWPVHqVllU8FKltloECBAg0HgBwUszplDw0ox50ksCBAgQqI/Ai3/0piid2esdfxulbpVFBS9VaqtFgAABAlEE1l13c7L+xi3J/Xdu7Kv+VE9FErz0RRj9IsFL9CnQAQIECBBomMCLnzkmSo/3etf/HaVulUUFL1Vqq0WAAAECpQiEoGTBUfOTtZeeP9H+qiuuTR746iPJLRvXJIKXUthr3ajgpdbTo3MECBAgUEOBFz99bJRe7fXuu6PUrbKo4KVKbbUIECBAoBSB6YKXQYta8TKoWP2uF7zUb070iAABAgTqLfCdGxZE6eDLztkapW6VRQUvVWqrRYAAAQKlCEwXvGy+bWuy+soNk7YanbZ0dfLQw49N9Gfmfvskd21e1/k4DV7C9qT0temay5L5c+ckthqVMoWFNyp4KZxUgwQIECDQcoFvbzghyghfft5fR6lbZVHBS5XaahEgQIBAKQKDBi/nXnhV8tTOZzvbkMIrbEW66dY7JgUvO595biKoyV4veCllCgtvVPBSOKkGCRAgQKDlAi9c+zNRRrj3+X8VpW6VRQUvVWqrRYAAAQKlCITgJQQl+dehsw/qhCv5FS/zTlyarLnkvGTxKd9fUtsteDlz4UnJymWn7/b1b317V7LHv/xYIeN44TW7CmlHI7sLtC14OeaGRcnBx73OVBMgQIAAgdIEXrjmpNLanqrhvVfcEaVulUUFL1Vqq0WAAAECpQgMsuJl2/YdyZIVlyfp1qFBg5d/f2FXsufXBS+lTGSBjbYteHnT9YuS1y0QvBR4i2iKAAECBHICz3/yzVFMXvGrfxmlbpVFBS9VaqtFgAABAqUIDBK8hA6MsuLFVqNSprDwRtsWvBy1YWEy64RDCnfSIAECBAgQSAW+9YmfjYLxA+/78yh1qywqeKlSWy0CBAgQKEVg0OAlHKx7wMx9k+uvvrjTn/Dxzmee3e1w3W5bjQQvpUxh4Y0KXgon1SABAgQItFzg3z9+cpQR/uD7b49St8qigpcqtdUiQIAAgVIEBg1eQifCqpf0dfSRcycdtpt/nHT2DBjBSylTWHijgpfCSTVIgAABAi0X+OZH3xplhK+86Iu71c0+fTI9s69X51ZdcW2y5fa7d/vy/XdujDKebkUFL7WZCh0hQIAAgVgC4alFB756/2TtpedP2wXBy7REtbhA8FKLadAJAgQIEGiQwL99+NQovf2h3/zCpLr5p0/mVyrnOxmClwe++sjE0yqjDGKaooKXOs6KPhEgQIBAqQL534xM95uUbGcEL6VOTWGNC14Ko9QQAQIECIyJwHNXvi3KSPe55POT6oaVxxctP2vi6ZPh6ZQfXf+5iS3hgpco06QoAQIECBCoTkDwUp31KJUEL6PoeS8BAgQIjKPAc1e8Pcqw97n0f07U7fb0yW6fy3Y0/wu1mfvt0zOkiTLA7xW14iWWvLoECBAg0EgBwUszpk3w0ox50ksCBAgQqI/Asx9cFKUz+/72lpGCl3ynw9ak8Lpl45oo4+lWVPBSm6nQEQIECBBogoDgpQmzlCSCl2bMk14SIECAQH0E/vV3TovSmVd94JZCg5ewNWn1lRsSh+tGmU5FCRAgQIDA6AKCl9ENq2jh1FeuKqTMXz70oZHbufXn3j9yG0dtWJjMOuGQkdvRAAECBAgQ6CXwzGW/EAVnv8v/dFLdQc94yXda8BJlGhUlQIAAAQLFCQheirMssyXBS5m62iZAgACBNgo8/dv/Ocqw9v/g/5hUd7qnGuW3EoWg5q7N6ybaCB8fNufg5PqrL44ynm5FbTWqzVToCAECBAg0QUDw0oRZShLBSzPmSS8JECBAoD4COy/9xSidmXnFn+xWN4QrDz38WOfz+adP5oOX7LXh+qOPnFur0CX0SfAS5dZSlAABAgSaKiB4acbMCV6aMU96SYAAAQL1EXjqkjOjdOaAK2+KUrfKooKXKrXVIkCAAIFSBcJvPN5w+Kxk7aXnl1ZH8FIabaENC14K5dQYAQIECIyBwP/3m2dFGeX/8eHPRalbZVHBS5XaahEgQIBAqQKCl1J5G9W44KVR06WzBAgQIFADgW9c9I4ovfjhj/5RlLpVFhW8VKmtFgECBAiUKjBd8JLdAzxzv30mDmJbd93NyU233jHxcTjU7cBX7z+xcmbeiUuTNZeclyw+ZUFixUupU1hY44KXwig1RIAAAQJjIvD1C94ZZaQ/8rHPRqlbZVHBS5XaahEgQIBAqQJTBS/5E/LDxw/ueLQTtmzbviNZsuLy5P47N3b6F4KWNJjJP5JQ8FLqFBbWuOClMEoNESBAgMCYCPzL+94VZaSv+cRnotStsqjgpUpttQgQIECgVIGpgpfsqpXQiTRs2XTNZcn8uXOS8OjBi5Z/f2/zltv/phPKfGrtBcmdd/9D8ud3/X1yy8Y1na+98J2Xku8+/qOFjOOF1+wqpB2N7C7QtuDl2BsWJQcd9zpTTYAAAQIEShN4fOXZpbU9VcOvXXdjlLpVFhW8VKmtFgECBAiUKtAreMmHLGknsrwC8W4AACAASURBVGFMur3oiSefTo6Yd1jy+BNPdi4LH2e3HVnxUuoUFtZ424KXozYsTGadcEhhPhoiQIAAAQJ5gUff++4oKAd/6tNR6lZZVPBSpbZaBAgQIFCqwCgrXsI5L1++/8GJ7Udhi9ENm77Q6e85S07tnO8SXoKXUqewsMYFL4VRaogAAQIExkTgn5efE2Wkr1t/Q5S6VRYVvFSprRYBAgQIlCow7BkvoVPpqphDZx80sa0obD/a+cxzE2e/CF5Knb5CGxe8FMqpMQIECBAYA4FHzj83yihnXXt9lLpVFhW8VKmtFgECBAiUKpB9alG2UHpobq+nGqXXhqDlzIUnJSuXnd75VP5AXsFLqdNXaOOCl0I5NUaAAAECYyDw8LLzooxy9nUbotStsqjgpUpttQgQIECg8QK2GjVjCgUvzZgnvSRAgACB+gjsOOf8KJ2Zc8O1UepWWVTwUqW2WgQIECDQeAHBSzOmUPDSjHnSSwIECBCoj8COd/9KlM7M+fTvR6lbZVHBS5XaahEgQIBA4wUEL82YQsFLM+ZJLwkQIECgPgIPnb08SmcOvXF9lLpVFhW8VKmtFgECBAg0XkDw0owpFLw0Y570kgABAgTqI/DgO98bpTOHffZTUepWWVTwUqW2WgQIECDQeAHBSzOm8G2vXFVIR//ioQ+N3M6fnfzrI7fxUxsWJbOOP2TkdjRAgAABAgR6CfzTkl+LgvOjm34vSt0qiwpeqtRWiwABAgQaLyB4acYUCl6aMU96SYAAAQL1Edh+5vuidGbuTZ+IUrfKooKXKrXVIkCAAIHGCwhemjGFgpdmzJNeEiBAgEB9BB74xdFXaA4zmjf8ye8O87ZGvUfw0qjp0lkCBAgQ6CWw+batyeorNyT337mxVCTBS6m8hTUueCmMUkMECBAgMCYC9//n90cZ6bz/8fEodassKnipUlstAgQIEBhZ4PjFK5Odzzw3qZ0QtgheRqZtVQOCl1ZNp8EQIECAQAUC237hwgqq7F5i/p9eHaVulUUFL1Vqq0WAAAECQwts274jWbLi8mTRyccmay89f6KdVVdc2/nz0Ue+wYqXoXXb90bBS/vm1IgIECBAoFyBryz6jXIL9Gj9x7d8JErdKosKXqrUVosAAQIEhhY4benq5ICZ+ybXX31x1za6rXgJ73no4cc618/cb5/krs3rJt677rqbk/U3bpn4OP/1EOhsuf3uia9vuuayZP7cOYmtRkNPYaVvFLxUyq0YAQIECLRA4Mtv/60oozjif47+BMEoHR+gqOBlACyXEiBAgEA8gXknLk3WXHJesviUBX0FL+deeFXy1M5nk1s2rulcHz5+cMejnfClV0jzwYuXdcKVELpsvXfbRFATQpqbbr2j87HgJd49MEhlwcsgWq4lQIAAAQJJ8vdvuyQKw09+/soodassKnipUlstAgQIEBhKIN1mlK466dZIPkzJBzXZNr72yOOdbUm9gpxwjsxFy8+aFPKk7Z180jHJnl//saHGkX/TC6/ZVUg7GtldoG3By1HXLUpet+AQU02AAAECBEoT+NIpq0pre6qGf/q2tVHqVllU8FKltloECBAgMLTAICteegU12TbyW4mOPnLuxDamcF23VwhqBC9DT2GlbxS8VMqtGAECBAi0QODek1dHGcVRt39/dXKbX4KXNs+usREgQKBFAoOe8TLVipewnSj7SoOa5WcvSlYuOz2ZKuSx1agZN1Xbgpef2rAomXW8FS/NuPv0kgABAs0U+Nuf/S9ROv6mP/9vUepWWVTwUqW2WgQIECAwtEC6lSj/VKNw/srjTzy521ONpjrjJX1P9ulI2bAlex5M2uHwuQvec0Yye/Yhycu+MXfocWTfaKtRIYxdGxG8lGerZQIECBBop8Ddb/5AlIEd+5e/E6VulUUFL1Vqq0WAAAECIwvktwGlTyMa5KlG6QqXbGfS1S7p5/JbkdI6VryMPIWVNCB4qYRZEQIECBBokcDWn4kTgCz4qziBT5VTJ3ipUlstAgQIEGi8gOClGVMoeGnGPOklAQIECNRH4K+Pj7Pl54S74mxxqlJe8FKltloECBAg0HgBwUszplDw0ox50ksCBAgQqI/AnQs+GKUzJ2797Sh1qywqeKlSWy0CBAgQaLyA4KUZUyh4acY86SUBAgQI1EfgzmPjPF3oxLvjPE2pSnnBS5XaahEgQIBA4wUEL82YQsFLM+ZJLwkQIECgPgJ/+aa1UTrz5r9dFaVulUUFL1Vqq0WAAAECjRcQvDRjCgUvzZgnvSRAgACB+gj8Xz99VZTO/NyXLo5St8qigpcqtdUiQIAAgcYLCF6aMYWCl2bMk14SIECAQH0EvviTH47Smbf+/W9GqVtlUcFLldpqESBAgEDjBQQvzZhCwUsz5kkvCRAgQKA+Al844iNROnPql38jSt0qiwpeqtRWiwABAgQaLyB4acYUCl6aMU96SYAAAQL1EfizH/9olM78/Fcu2q3uaUtXJw89/Fjn84fOPii5ZWOcg3+LAhG8FCWpHQIECBAYSGDddTcnN916R3LX5nWd94WP19+4Jbn/zo0DtZNevPm2rcnqKzcM/f5+iwpe+pWKe53gJa6/6gQIECDQPIFb538sSqcXbrtgUt1zL7wqeWrnsxNhSwhhDpi5b3L91c09C0bwEuXWUpQAAQLtFTh+8crO4NJApddIhw1eQvs7n3luUrMhrBG8tPeeGmZkgpdh1LyHAAECBMZZ4JZ5vxtl+Kfd/+uT6oZ/6120/Kxk8SkLOp8P/8b76PrPTftvyyid77Oo4KVPKJcRIECAwPQC4X+MN2z6wveCkWcn/Q+z2zvzwct0rW/bviNZsuLyZNHJxyZrLz1/4vJVV1zb+fPRR77BipfpEMfo64KXMZpsQyVAgACBQgRunvuJQtoZtJHTt79v4i3pv/c2XXNZMn/unM7nu31u0Bqxrxe8xJ4B9QkQINAigbA09Ih5hyVfvv/BzqjyS0Kz+3XD12fut0/ntxchPNly+92d9/TaajTdMtNuK16y9dJaKXe6tSn9OP/1bJ/CNek/AGw1asYNK3hpxjzpJQECBAjUR+BPfvT3onTmF//p1ybqCl6iTIGiBAgQINAkgXknLu0EFF975PHdloTm9+vmV7xMt1UotL3mkvMmlp3mXfLvz9cLHz+449FO0NMrpPngxcs6v10JocvWe7dNOn8mPY9G8NKMO1Lw0ox50ksCBAgQqI/ATYd+KkpnznzovYKXKPKKEiBAgEDjBNJtRump8/mgJP/xIMFLP0tM82FKvl62jRAMhYN4ewU5+b3FYTLS9k59y7HJdx//0ULm54XX7CqkHY3sLtC24OWYG05LXnvs60w1AQIECBAoTWDT668pre2pGl7ytRWTvuyMlyjToCgBAgQINEEg3Wa0ctnpne6Gj8MrbDfqFpwMErxkg4/0oLW8STZ46RXUZMOY/Faio4+cO7E1KlzX7RWCmrf8zJuSl31jbiFTIngphLFrI20LXn5qw6Jk1vGHlAemZQIECBAYe4E//D/XRzH4pf9n+aS6nmoUZRoUJUCAAIEmCPQKK9IzW0ZZ8RLGP+gZL1OteEkPa0td06Bm+dmLkhAcTbWtyVajJtyNSSJ4acY86SUBAgQI1EfgM7O+/8CCql/veuQ/HpqQ1s6e03fo7IMmHi1ddd+Kqudw3aIktUOAAIExFuj1mL9sgJEPTsLH4elH6WOnpzvjJf16/qlGYeXM4088udtTjaY64yV9T/bpSNm+Zs+DSac1fO6C95yRzJ59iBUvDbjXBS8NmCRdJECAAIFaCXz64A1R+vPuR8+LUrfKooKXKrXVIkCAQEsFeq1GyW43CkPProoJW3vSw27D16YLXlK6/Mqa9GlEgzzVKF3hkp2OdLVL+rn8VqS0jhUvzbiJBS/NmCe9JECAAIH6CNzw2uuidOacx5dFqVtlUcFLldpqESBAgEBPgfyZL3WlErzUdWYm90vw0ox50ksCBAgQqI/AdT9yQ5TOLPv6OVHqVllU8FKltloECBAgsJtACFzW37il8/mpHhddFzrBS11mYup+CF6aMU96SYAAAQL1EfjvB8YJXt7zhOClPneBnhAgQIAAgRoICF5qMAl9dEHw0geSSwgQIECAQEZg/Q9vjOKx/BtLo9StsqgVL1Vqq0WAAAECjRcQvDRjCgUvzZgnvSRAgACB+gh88tWfjtKZX33y3VHqVllU8FKltloECBAg0HiBELwcNPMjhYxj/osHjNzOHiO38P0GXiqgnaL6UkBXks9/c20RzSSzXvUrI7fz+wftM3IbR1//9mT2CYeM3I4GCBAgQIBAL4FPzPyDKDjv2/nLUepWWVTwUqW2WgQIECDQeAHBS+8pFLx0txG8NP7b3gAIECAwFgIf3z9O8PL+pwUvY3GDGSQBAgQIEOhXQPAieOn3XkmvE7wMKuZ6AgQIEIgh8NH9boxRNrnombOj1K2yqBUvVWqrRYAAAQKFCWy+bWuy+soNyf13biyszX4aErwIXvq5T7LXCF4GFXM9AQIECMQQ+NCr4gQvv/WvgpcY860mAQIECIyJwGlLVycHzNw3uf7qiyeN+NwLr+p8nP989iLBy/c1itre44yX7t90zngZk7+MDJMAAQIEkiv3+UwUhUuee1eUulUWteKlSm21CBAgQGCSQK/w5PjFK5OLlp+VLD5lQU8xwYvgZapvJ4fr+suGAAECBAgMJrDmlZ8d7A0FXb36m+8sqKX6NiN4qe/c6BkBAgTGQmDeiUuTNZecNxGy5AOVsCrmoYcf61jM3G+f5K7N6zp/zl8XwpozF56UrFx2eufr6667Obnp1jsmrg91jj5ybnLPfds7X1908rHJE08+PfFxtg/h66uuuDbZcvvdE3Ow6ZrLkvlz5yS2GvW+LYtafVPEjS94KUJRGwQIECAwTgKX/2Cc4OWyfxe8jNN9ZqwECBAgEEEgv60oBB4hEAnbjMLXntr5bHLLxjWdnoWPH9zxaCdMGTZ4Ce2GUGb9jVs64cvaS8/frU7ow9Z7t02ENtkQR/AieBn028QZL4OKuZ4AAQIEYgh84BV/GKNs8jvP/1KUulUWteKlSm21CBAgQGA3gW4BSrrNKL8aZtv2HcmSFZcnYfXJ1x55fNLhuv2seElXtWTbCatY8qtjum11Svty8knHJD+y34cLmcn5Lx4wcjtFrTJxxkv3qajLGS/H3LAwOeT41418v2iAAAECBAj0Evgvr/ijKDj/7fl3RKlbZVHBS5XaahEgQIBAV4E01Hj9rNcm7131sc5Kk3w4kr4xvTZ8nH2qUZHBS6jR7RWCm7e++ZjkwFcJXrr5FBUCFfFt0ratRsduXJi8boHgpYh7QxsECBAg0F3g0pfHCV6u+LbgxT1JgAABAgRKF0i3Gx346v0nthmForFWvOTrZgFsNep9OwheutvYalT6XyEKECBAgEABApfstamAVgZv4soXlwz+poa9w4qXhk2Y7hIgQKCNAul2o0NnH5Scs+TUiYN2BznjJf9o6rACJrzSw3izYcp0W42yZ8mk3uFzF7znjGT27EOSg2Z+pJBpsNWoEMaujbRtxcvR1789mX3CIeWBaZkAAQIExl7gN2d8LorBh3edFaVulUUFL1Vqq0WAAAECPQXyQUl6Yb9PNUrDlPR94eDc7AG5gwQvoY38U43SJypZ8dL7JrbipbuNFS/+4iNAgACBJghcuGec4OXqlwQvTbg/9JEAAQIECFQmIHgRvAx6swleBhVzPQECBAjEEPj1PeNsNfrdl2w1ijHfahIgQIAAgdoKCF4EL4PenIKXQcVcT4AAAQIxBH4tUvDye4KXGNOtJgECBAgQqK+A4EXwMujdKXgZVMz1BAgQIBBDYMWecZ5qdM1LnmoUY77VJECAAAECtRUQvAheBr05BS+DirmeAAECBGII/MqMP4xRNvn9Xb8UpW6VRR2uW6W2WgQIECDQeAHBi+Bl0JtY8DKomOsJECBAIIbAskjBy3WClxjTrSYBAgQIEKivQAheXtrz8EI6uPfXZxTSjkZ2F/iRHzuvEJZH/vX3R27n9jdeNHIbR21YmMzyOOmRHTVAgAABAr0Fzpnx2Sg8N+x6Z5S6VRa14qVKbbUIECBAoPECgpdmTKHgpRnzpJcECBAgUB+BX44UvPyB4KU+N4GeECBAgACBOggIXuowC9P3QfAyvZErCBAgQIBAVuCdMz4TBeSzu94VpW6VRa14qVJbLQIECBBovIDgpRlTKHhpxjzpJQECBAjUR+AdkYKXPxK81Ocm0BMCBAgQINBL4PjFK5MFR81P1l56/sQlm2/bmqy+ckOy6ZrLkvlz5xSGJ3gpjLLUhgQvpfJqnAABAgRaKHDGjBujjOqPd50dpW6VRa14qVJbLQIECBAoRWDb9h3JkhWXTwpZQhhz5sKTkpXLTi+0puClUM7SGhO8lEarYQIECBBoqcDpM/4gyshu3vXLUepWWVTwUqW2WgQIECBQmsCqK65Nnnjy6eT6qy9Owp8f+OojyS0b13TqhY+33H73RO3sKph1192crL9xy8TXZu63T3LX5nUTH887cWmy/OxFE9dc//HVyY/NfWsh4/BUo0IYuzYieCnPVssECBAg0E6BxXvFCV42vyh4aecdZVQECBAg0EqBbEiShishdNl677aJMCUELTfdesfEx+deeFUnrElfYaXMYXMOnvhcaDMbxljx0oxbR/DSjHnSSwIECBCoj8DCvT4dpTO3vvjuKHWrLGrFS5XaahEgQIBAqQLpypZFJx87cd5LCFIuWn5WsviUBRO1Q5iy5pLzJn0u/WJ+tUz+2ue/81LywkuHFjIOK14KYezaSNuCl2NuWJQcfNzrygPTMgECBAiMvcDbIgUvnxe8jP29B4AAAQIEGiTQ7ayXEJx0e2WDlxDO7HzmuYnLDp190MQ2pXzw8m/Pv5js2uPwQlQEL4UwjkXwctR1C5NZxx9SHpiWCRAgQGDsBd6618YoBl98sfu/1aJ0pqSiVryUBKtZAgQIEKheoFfw0mt1S+hh/olI0614sdWo+nkdpmLbVrwcteF7wcsJgpdh7gXvIUCAAIH+BH52rxv6u7Dgq/78xXOGavG0pauThx5+rPPe7C/NujWWP+8vveb+O6sJmwQvQ02xNxEgQIBAHQW6BS/hDJcHdzw66cDc8LkL3nNG5zHT+RUt4X/i4ZUezJv/uuCljjO/e58EL82YJ70kQIAAgfoInPiy66J05s7vLBu4bvi33FM7n53491r499sBM/eddG5fttH8L9YGLjjiGwQvIwJ6OwECBAjUR6Bb8BJ6l/8tR/aw3PxTjcJvTAQv9ZnTYXsieBlWzvsIECBAYFwFFrzsv0cZ+tbvvGfguvkz/DbftjX56PrPTfpFm+BlYFZvIECAAAEC9RCw4qUe8zBdLwQv0wn5OgECBAgQmCzwppf9fhSSv/3OrwxUt9sv2nr98i1teKpfwg1UfMiLrXgZEs7bCBAgQGA8BQQvzZh3wUsz5kkvCRAgQKA+Aj/18jjBy999u/zgJa+c31pe9iwIXsoW1j4BAgQItEpA8NKM6RS8NGOe9JIAAQIE6iNwxMuvidKZL397xaS62UNz8x06+si5nXP6lqy4PNl0zWWd8/rCa7oVL/l2wtak1VduSByuG2XKFSVAgAABAlMLCF6acYcIXpoxT3pJgAABAvURmP/yT0bpzLZv/+rAdQc940XwMjCxNxAgQIAAgXgCIXi57ceLWYr73Zf2GHkge+z53ZHbKKqBPfeoT19e3LVnIcPaswDfk//xoyP3ZY+Xbkz2fcVxI7ejAQIECBAg0Etg7t7rouBsf2HlwHWne6pRfitRCGru2vwf4wsfHzbn4J5PQRq4Q9O8wVajokW1R4AAAQKtFhC89J5ewUt3G8FLq/9KMDgCBAi0RuDwvT8RZSxffeF9Q9XNbkkKT6W8ZeOaiXbywUt++1LYsnT91RcPVXeYNwlehlHzHgIECBAYWwHBi+Bl0Jtf8DKomOsJECBAIIbAnL0/HqNssuOF90epW2VRwUuV2moRIECgJQLrrrs5WX/jls6BZFUfThabUPAieBn0HhS8DCrmegIECBCIIXDI3h+LUTb5f1+4IErdKosKXqrUVosAAQI1EQj7Wnc+89yk3mRPhp+um2UFL/l+zdxvn0n7cafrV3j/mQtPSlYuO326S4f+uuBF8DLozSN4GVTM9QQIECAQQ+CgV1wdo2zy2PMXRqlbZVHBS5XaahEgQKAmAvmAIg1Slp+9aODQosgVL/l+5Q9Om45P8DKdULlfd8ZLd1/BS7n3ndYJECBAoBiBA1/xkWIaGrCVJ57/jQHf0bzLBS/NmzM9JkCAwMgC3QKK7CqWUCD9OC2WXX2SDVuyf151xbXJ1nu3TVqlEg4ze8Phs5K1l54/bb+7BUI33XrHpPZCjS233z3RVrpSJ4Q099y3feLz6SFr07U578SlSQicwtap8ArtvXfVxzorZ9LPpZ+fP3dOYsVL72kUvAhepv0mdwEBAgQI1FbggB/4UJS+PfWt34pSt8qigpcqtdUiQIBATQR6rQwJIcSaS85LFp+yIAlBRva09+xj93oFL2F42Ta2bd+RLFlxeecsmH5e+X7lQ5t8sBPCoWww021c/QQv+S1N6ZantN/ZlTeCF8FLP/dy9horXgYVcz0BAgQIxBDY7weujFE2eeZbl0SpW2VRwUuV2moRIECgJgK9gpeptuqE0OOBrz7SeVTfVMFLCCnCK4Q22T/3M/T8GS+LTj520kqZ8PWLlp/VCYbSVzboGTZ4ScOmtM2pwppvPr8r+fx/Wt/PcKa95rsv7THtNdNdsMee353uksq+bsVLd+oigpcZ3/1M8kN7H1vZXCpEgAABAgQIFCcgeCnOUksECBBojEA/K17CYPJBSLp9Z6rgJbvKJRuK9IOT7Ve3811Ce91eaXBSRfDy/Ld3Jbe+UfDSbR4EL+UFLy9LPpP84MsFL/38PeIaAgQIECBQNwHBS91mRH8IECBQgUA/Z7yEaxY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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Moving Average of closing prices\n", "google_training_complete['MA_50'] = google_training_complete['Close'].rolling(window=50).mean()\n", "fig7 = px.line(google_training_complete, x='Date', y=['Close', 'MA_50'], title='Google Stock Close Price with 50-Day Moving Average')\n", "fig7.show()" ] }, { "cell_type": "code", "execution_count": 11, "id": "86e8f2f2", "metadata": { "papermill": { "duration": 0.096085, "end_time": "2023-07-30T10:01:06.095614", "exception": false, "start_time": "2023-07-30T10:01:05.999529", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "hovertemplate": "Close=%{x}
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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Histogram of daily stock price fluctuations\n", "fig12 = px.histogram(google_training_complete, x='Daily_Change', title='Distribution of Daily Stock Price Changes')\n", "fig12.show()" ] }, { "cell_type": "code", "execution_count": 16, "id": "8a11ad2e", "metadata": { "papermill": { "duration": 0.156085, "end_time": "2023-07-30T10:01:06.921009", "exception": false, "start_time": "2023-07-30T10:01:06.764924", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "hovertemplate": "Date=%{x}
Daily_Pct_Change=%{y}", "legendgroup": "", "line": { "color": "#636efa", "dash": "solid" }, "marker": { "symbol": "circle" }, "mode": "lines", "name": "", "showlegend": false, "type": "scattergl", "x": [ "2010-01-04T00:00:00", "2010-01-05T00:00:00", "2010-01-06T00:00:00", "2010-01-07T00:00:00", "2010-01-08T00:00:00", "2010-01-11T00:00:00", "2010-01-12T00:00:00", "2010-01-13T00:00:00", "2010-01-14T00:00:00", "2010-01-15T00:00:00", "2010-01-19T00:00:00", "2010-01-20T00:00:00", "2010-01-21T00:00:00", "2010-01-22T00:00:00", "2010-01-25T00:00:00", "2010-01-26T00:00:00", "2010-01-27T00:00:00", "2010-01-28T00:00:00", "2010-01-29T00:00:00", "2010-02-01T00:00:00", "2010-02-02T00:00:00", "2010-02-03T00:00:00", "2010-02-04T00:00:00", "2010-02-05T00:00:00", "2010-02-08T00:00:00", "2010-02-09T00:00:00", "2010-02-10T00:00:00", "2010-02-11T00:00:00", "2010-02-12T00:00:00", "2010-02-16T00:00:00", "2010-02-17T00:00:00", "2010-02-18T00:00:00", "2010-02-19T00:00:00", "2010-02-22T00:00:00", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Line chart for percent change of daily stock price\n", "google_training_complete['Daily_Pct_Change'] = google_training_complete['Close'].pct_change() * 100\n", "fig13 = px.line(google_training_complete, x='Date', y='Daily_Pct_Change', title='Daily Stock Price Percent Change')\n", "fig13.show()" ] }, { "cell_type": "code", "execution_count": 17, "id": "cfdd0609", "metadata": { "papermill": { "duration": 0.102775, "end_time": "2023-07-30T10:01:07.057168", "exception": false, "start_time": "2023-07-30T10:01:06.954393", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "alignmentgroup": "True", "hovertemplate": "Month=%{x}
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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Box plot of daily stock price percent change by month\n", "fig14 = px.box(google_training_complete, x='Month', y='Daily_Pct_Change', title='Daily Stock Price Percent Change by Month')\n", "fig14.show()" ] }, { "cell_type": "code", "execution_count": 18, "id": "07e6a9e2", "metadata": { "papermill": { "duration": 1.110822, "end_time": "2023-07-30T10:01:08.199548", "exception": false, "start_time": "2023-07-30T10:01:07.088726", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "hovertemplate": "Date=%{x}
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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Scatter plot of closing prices with Trend Line (should have used differnt color)\n", "fig15 = px.scatter(google_training_complete, x='Date', y='Close', title='Google Stock Prices with Trendline', trendline='lowess')\n", "fig15.show()" ] }, { "cell_type": "code", "execution_count": 19, "id": "9760c3eb", "metadata": { "papermill": { "duration": 0.236495, "end_time": "2023-07-30T10:01:08.469895", "exception": false, "start_time": "2023-07-30T10:01:08.233400", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "hovertemplate": "variable=Volume
Date=%{x}
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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Line chart for daily trading volume with moving average\n", "google_training_complete['MA_Volume'] = google_training_complete['Volume'].rolling(window=10).mean()\n", "fig16 = px.line(google_training_complete, x='Date', y=['Volume', 'MA_Volume'], title='Daily Trading Volume with 10-Day Moving Average')\n", "fig16.show()" ] }, { "cell_type": "code", "execution_count": 20, "id": "95bb57b1", "metadata": { "papermill": { "duration": 0.103489, "end_time": "2023-07-30T10:01:08.610260", "exception": false, "start_time": "2023-07-30T10:01:08.506771", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "alignmentgroup": "True", "hovertemplate": "Year=%{x}
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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Box plot of daily stock price changes by year \n", "google_training_complete['Year'] = google_training_complete['Date'].dt.year\n", "fig17 = px.box(google_training_complete, x='Year', y='Daily_Change', title='Daily Stock Price Changes by Year')\n", "fig17.show()" ] }, { "cell_type": "code", "execution_count": 21, "id": "716497ba", "metadata": { "papermill": { "duration": 0.158852, "end_time": "2023-07-30T10:01:08.805458", "exception": false, "start_time": "2023-07-30T10:01:08.646606", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "hovertemplate": "Date=%{x}
Close=%{y}", "legendgroup": "", "line": { "color": "#636efa", "dash": "solid" }, "marker": { "symbol": "circle" }, "mode": "lines", "name": "", "showlegend": false, "type": "scattergl", "x": [ "2010-01-04T00:00:00", "2010-01-05T00:00:00", "2010-01-06T00:00:00", "2010-01-07T00:00:00", "2010-01-08T00:00:00", "2010-01-11T00:00:00", "2010-01-12T00:00:00", "2010-01-13T00:00:00", "2010-01-14T00:00:00", "2010-01-15T00:00:00", "2010-01-19T00:00:00", "2010-01-20T00:00:00", "2010-01-21T00:00:00", "2010-01-22T00:00:00", "2010-01-25T00:00:00", "2010-01-26T00:00:00", "2010-01-27T00:00:00", "2010-01-28T00:00:00", "2010-01-29T00:00:00", "2010-02-01T00:00:00", "2010-02-02T00:00:00", "2010-02-03T00:00:00", "2010-02-04T00:00:00", "2010-02-05T00:00:00", "2010-02-08T00:00:00", "2010-02-09T00:00:00", "2010-02-10T00:00:00", "2010-02-11T00:00:00", "2010-02-12T00:00:00", "2010-02-16T00:00:00", "2010-02-17T00:00:00", "2010-02-18T00:00:00", "2010-02-19T00:00:00", "2010-02-22T00:00:00", "2010-02-23T00:00:00", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Line chart for daily closing prices in 2022\n", "# 2022 because Train dataset is 2010-2022\n", "df_2022 = google_training_complete[google_training_complete['Year'] == 2022]\n", "fig18 = px.line(google_training_complete, x='Date', y='Close', title='Google Stock Prices in 2022')\n", "fig18.show()" ] }, { "cell_type": "code", "execution_count": 22, "id": "b9df42b3", "metadata": { "papermill": { "duration": 0.103702, "end_time": "2023-07-30T10:01:08.947648", "exception": false, "start_time": "2023-07-30T10:01:08.843946", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "hovertemplate": "Daily_Return=%{x}
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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Scatter plot of daily returns vs. trading volume\n", "fig19 = px.scatter(google_training_complete, x='Daily_Return', y='Volume', title='Daily Returns vs. Trading Volume')\n", "fig19.show()" ] }, { "cell_type": "code", "execution_count": 23, "id": "da00945f", "metadata": { "papermill": { "duration": 0.167807, "end_time": "2023-07-30T10:01:09.155473", "exception": false, "start_time": "2023-07-30T10:01:08.987666", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "hovertemplate": "Date=%{x}
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UXlqCmRchARIgARIgARIgARIgARIgARIgARIoIwEKL2UcdfaZBEiABEiABEiABEiABEiABEiABEigJQQovLQEMy9CAiRAAiRAAiRAAiRAAiRAAiRAAiRQRgIUXso46uwzCZAACZAACZAACZAACZAACZAACZBASwhQeGkJZl6EBEiABEiABEiABEiABEiABEiABEigjAQovJRx1NlnEiABEiABEiABEiABEiABEiABEiCBlhCg8NISzLwICZAACZAACZAACZAACZAACZAACZBAGQlQeCnjqLPPJEACJEACJEACJEACJEACJEACJEACLSFA4aUlmHkREiABEiABEiABEiABEiABEiABEiCBMhKg8FLGUWefSYAESIAESIAESIAESIAESIAESIAEWkKAwktLMPMiJEACJEACJEACJEACJEACJEACJEACZSRA4aWMo84+kwAJkAAJkAAJkAAJkAAJkAAJkAAJtIQAhZeWYOZFSIAESIAESIAESIAESIAESIAESIAEykiAwksZR519JgESIAESIAESIAESIAESIAESIAESaAkBCi8twcyLkAAJkAAJkAAJkAAJkAAJkAAJkAAJlJEAhZcyjjr7TAIkQAIkQAIkQAIkQAIkQAIkQAIk0BICFF5agpkXIQESIAESIAESIAESIAESIAESIAESKCMBCi9lHHX2mQRIgARIgARIgARIgARIgARIgARIoCUEKLy0BDMvQgIkQAIkQAIkQAIkQAIkQAIkQAIkUEYCFF7KOOrsMwmQAAmQAAmQAAmQAAmQAAmQAAmQQEsIUHhpCWZehARIgARIgARIgARIgARIgARIgARIoIwEKLyUcdTZZxIgARIgARIgARIgARIgARIgARIggZYQoPDSEsy8CAmQAAmQAAmQAAmQAAmQAAmQAAmQQBkJUHgp46izzyRAAiRAAiRAAiRAAiRAAiRAAiRAAi0hQOGlJZh5ERIgARIgARIgARIgARIgARIgARIggTISoPBSxlFnn0mABEiABEiABEiABEiABEiABEiABFpCgMJLSzDzIiRAAiRAAiRAAiRAAiRAAiRAAiRAAmUkQOGljKPOPpMACZAACZAACZAACZAACZAACZAACbSEAIWXlmDmRUiABEiABEiABEiABEiABEiABEiABMpIgMJLGUedfSYBEiABEiABEiABEiABEiABEiABEmgJAQovLcHMi5AACZAACZAACZAACZAACZAACZAACZSRAIWXMo46+0wCJEACJEACJEACJEACJEACJEACJNASAhReWoKZFyEBEiABEiABEiABEiABEiABEiABEigjAQovZRx19pkESIAESIAESIAESIAESIAESIAESKAlBCi8tAQzL0ICJEACJEACJEACJEACJEACJEACJFBGAhReyjjq7DMJkAAJkAAJkAAJkAAJkAAJkAAJkEBLCFB4aQlmXoQESIAESIAESIAESIAESIAESIAESKCMBCi8lHHU2WcSIAESIAESIAESIAESIAESIAESIIGWEKDw0hLMvAgJkAAJkAAJkAAJkAAJkAAJkAAJkEAZCXS88LLhTof1j9vRB+9ljvvCvv3//anDTjbPz3rF++/JEyeYGy87ZdAYR/2+w97Hmbfmvm2euv2yQefgeuPGLGPuvOEc7++vvjm/jPOGfc6ZwNhlljALFtbM/PdrOdfM6spIYNXlR/PZVMaBL6DPyy41wtRrDfPOgr4CameVZSOw8thR5o3/LDT1eqNsXWd/cyaw9OheU61UzLz3FuVcM6srI4EVx4w0c99eZBbV6mXsvnOfsb5kSU+gY4WXJ56ZaQ485gfGL7YoiiNO/JF58615/WILRJblxy1rLjnzm94hcb9DeBk3ZlmzwTprmNNOOso759unXmiefvYlEWTmUXhJP+d4ZgABCi+cFnkSoPCSJ81y10Xhpdzjn3fvKbzkTbS89VF4Ke/YF9FzCi9uVCm8uHEKO6pjhRcIJ+NXGNsvivg7COHka0cfYPaesr330w3TZpifXnB1v2Di+vvJp1/Ub/UCaxcIPdf8/jYKL9nmHc/2EaDwwimRJwEKL3nSLHddFF7KPf55957CS95Ey1sfhZfyjn0RPafw4kaVwosbp64TXtTlB+5AWq46/7tmo/XXNGoNo/+N3+2/4b9hLRP2O+pQYWbqLXd5Ao+WVcevQOEl25zj2QEEKLxwWuRJgMJLnjTLXReFl3KPf969p/CSN9Hy1kfhpbxjX0TPKby4UaXw4sapq4QXFVFO+daR/RYtcAOaesvdnnVKnsLLWmus6ok0GtflnIuvGyS81OinnG0G8myPAPyUG42Godc7J0QeBHqqFcNnUx4kWYc8mrwijycWEshMgM+mzAhZwWICfDZxKuRJoCrrJsaeiieKZzhLegId6WoUJKwAAaxgIMaoWJKHxQtclWy3Jr/wMnvOgvT0O+DMhx+tmD9N6zFf/lLNjBvLlXdRQ7bc0iPMwvfrZgGD6xaFuFT1jpcAlt3+bCrVgA5jZ5dZshlc992FDK47jMPQNZdecbmR5s233+cGp2tGdPg6stSoZnDdt+czuO7wjUL3XHn5ZZcw897tY3DdmCHF+pIlPYGOFF5skUVjuPj/5hrDxTUGjCL2Cy/dntXo+qk95hERX/bZq2Y225TCS/pbLfpMuhoVRbac9dLVqJzjXkSv6WpUBNXy1klXo/KOfd49p6tR3kTLXR9djdzGn65GbpzCjupY4QVWKM/NfLk/yC1cjWbc/0T/f8dlLYr73S/cUHih8JLtVqPwUiQ/1j2YAIUXzoi8CFB4yYsk6wEBCi+cB3kRoPCSF0nWAwIUXtzmAYUXN05dJ7ygQxBP7nv4Ga9vGoPF7ihSSD8/6xXvT5MnTuhPLa3HRP1O4aVJiRYv2W4w17Np8eJKise5EKDw4kKJx7gQoPDiQonHuBKg8OJKisfFEaDwEkeIvychQOHFjRaFFzdOYUd1rMVLtm7ndzZdjfJjWeaaKLyUefTz7zuFl/yZlrVGCi9lHfli+k3hpRiuZayVwksZR724PlN4cWNL4cWNE4WXbJxCz6bwUhDYiGqRXaNWM6a3t/XXLuqKFF6KIlvOeim8lHPci+g1hZciqJa3Tgov5R37vHtO4SVvouWuj8KL2/hTeHHjROElGycKL20UXPfXV1bNrJeq5uRv9hlNJ1jQ8LasWgovLUNdigtReCnFMLekkxReWoK5NBeh8FKaoS68oxReCkdcqgtQeHEbbgovbpwovGTjROGljYSXs87uNXPmGnPi8X1mzJiCBrbF1VJ4aTHwLr8chZcuH+AWdo/CSwthl+BSFF5KMMgt6iKFlxaBLsllKLy4DTSFFzdOFF6ycSq98LLzjnWDf9qh5CW8vPJKxUz7c9VM+WjdTJgwvKmyKby0w8zqnjZQeOmesRzunlB4Ge4R6K7rU3jprvEczt5QeBlO+t13bQovbmNK4cWNE4WXbJwovHSh8HLb9KrBP+0gKlF4KegGLWm1FF5KOvAFdJvCSwFQS1wlhZcSD37OXafwkjPQkldH4cVtAlB4ceNE4SUbJwovFF4KmkHNaim8FIq3dJVTeCndkBfWYQovhaEtZcUUXko57IV0msJLIVhLWymFF7ehp/DixonCSzZOFF4ovBQ0gyi8FAq2pJVTeCnpwBfQbQovBUAtcZUUXko8+Dl3ncJLzkBLXh2FF7cJQOHFjROFl2ycKLxQeCloBlF4KRRsSSun8FLSgS+g2xReCoBa4iopvJR48HPuOoWXnIGWvDoKL24TgMKLGycKL9k4UXih8FLQDKLwUijYklZO4aWkA19Atym8FAC1xFVSeCnx4OfcdQovOQMteXUUXtwmAIUXN04UXrJxovDShsLL4YfUzKSJ6bMRMbhuQTcFqx12AhRehn0IuqYBFF66ZijboiMUXtpiGLqiERReumIY26YTFF7choLCixsnCi/ZOFF4ofBS0AxqVsvguoXiLV3lFF5KN+SFdZjCS2FoS1kxhZdSDnshnabwUgjW0lZK4cVt6Cm8uHGi8JKNU2mFlyuv6THP/K3SFimXdRDOOrvXzJlrTF4WL5tt2jD77FUraIa4VUvhxY0Tj3IjQOHFjROPiidA4SWeEY9wJ0DhxZ0Vj4wmQOGFMyRPAhRe3GhSeHHjROElG6fSCi+X/LLXzHrJUHgpaP5otWUSXhYtMmbEiIKBlrx6Ci8lnwA5dp/CS44wWZWh8MJJkBcBCi95kWQ9IEDhxW0eUHhx40ThJRsnCi9d7GpEi5eCbo6Aap97vmouv6JqdtqxYXbZcXitjFrX69ZficJL65l36xUpvHTryA5Pvyi8DA/3brwqhZduHNXh6xOFFzf2FF7cOFF4ycapJcLLggUVc/sdFbPxxg2z6srpg8bm2VVavORJM7yusli8PPJoxVw/tce0g9jVmpEdnqtQeBke7t14VQov3Tiqw9cnCi/Dx77brkzhpdtGdHj7Q+HFjT+FFzdOFF6ycWqJ8PLEU1Xz299VzdZb1s3HptQLanGyalV4aaeNMmO8JBvDdjqawktrRoPCS2s4l+EqFF7KMMqt6yOFl9ax7vYrUXjp9hFubf8ovLjxpvDixonCSzZOLRFe2nFTSuGloInjq7ZsFi8T1zDmiEP7WgO3hFeh8FLCQS+oyxReCgJb0mopvJR04AvoNoWXAqCWuEoKL26DT+HFjROFl2ycKLy0QeYfHQRavBQ0mVtQrYqLFF6KhU3hpVi+ZaqdwkuZRrv4vlJ4KZ5xWa5A4aUsI92aflJ4ceNM4cWNE4WXbJwovFB4KWgGNaulxUuheEtXOYWX0g15YR2m8FIY2lJWTOGllMNeSKcpvBSCtbSVUnhxG3oKL26cKLxk40ThhcJLQTOIwkuhYDu08pdfrpgnn66aXXeupUq9TeGlQwe+DZtN4aUNB6WDm0ThpYMHr82aTuGlzQakw5tD4cVtACm8uHGi8JKNE4UXCi8FzSAKL4WC7dDK/zitau67v2oO/EzdbLB+8kDbFF46dODbsNkUXtpwUDq4SRReOnjw2qzpFF7abEA6vDkUXtwGkMKLGycKL9k4UXhpI+Hl1B/3GKTePvyQmpk0MX3a7Wm3VM3d91bbIrVx2VyNxo4x5oTjGVw37MGClNuIh7PPXjVvfiYtFF6SEuPxYQQovHBu5EmAwkueNMtdF4WXco9/3r2n8OJGlMKLGycKL9k4UXhpI+Hluz/o9cYjq/Cim9t2SJVN4aWgG7RDq6Xw0qED14XNpvDShYM6jF2i8DKM8Lvs0hReumxAh7k7FF7cBoDCixsnCi/ZOLVEeLn73oqZdktPW1hgaIfbMZ20Ci9prQG0bxReCropIqrVrEa0eIlmT+Gl9XOTVwwmQOGFMyNPAhRe8qRZ7roovJR7/PPuPYUXN6IUXtw4UXjJxqklwstt06sG/7RTql0KLwVNHF+1tHhpDedOuQqFl04Zqe5vJ4WX7h/jVvaQwksraXf3tSi8dPf4trp3FF7ciFN4ceNE4SUbJwovbehqlJfFSzsIXRReCrpBO7RaCi8dOnBd2GwKL104qMPYJQovwwi/yy5N4aXLBnSYu0PhxW0AKLy4ccpNePnUYSeb52e94tV3yreONHtP2d5suNNhZqvN1zeXnPnNbK3pwLNffXN+bq1uZ4uX9ddrmIP2r+XW1ywV5e1q1I7CyxuzK2b5FRqmpycLqfY7l65GbmNC4cWNE48qngCFl+IZl+kKFF7KNNrF9pXCS7F8y1Y7hRe3Eafw4sYpF+EFosvy45b1BJYd9j7OfO3oAzzh5ZyLrzPX/P42c+cN52RrTcqzcf0LLp/aLwRpNbZINHniBHPjZacMukLU7+jfW3PfNk/dftmgcyAyjRuzTH9fyyK8tIM4oQPR7cLLq69VzAW/6DHbbFU3e+6RPJVwytuoJadReHHDTOHFjROPKp4AhZfiGZfpChReyjTaxfaVwkuxfMtWO4UXtxGn8OLGKRfhBfei9yIAACAASURBVKLDVed/12y0/pqDhJcbps0wJ59+0RCRIlvT3M5W0QciiVrg4MwjTvyRefOtef1iiy0aufwO4WXcmGXNBuusYU476SivMd8+9ULz9LMviSAzj8KL2/AUclS3Cy8qTrSTlVFeA0nhxY2kxlZK607HdNJunHlUPAEKL/GMeIQ7AQov7qx4ZDQBCi+cIXkSoPDiRpPCixunXIQXiBHnnXbCEOFluCxe7OtCFLKFF9siB52HOPTTC67uF0xcf7cFJVzj6IP3GmTdQ4uXbBMwzdllEV7aycoozTgFnUPhxY2kCi9Tdq+ZbbduuJ1kHUXhJTEynhBCgMILp0aeBCi85Emz3HVReCn3+OfdewovbkQpvLhxykV4gcXHjPuf8MQLFS7WWmNVc+AxPzB77b5tv2VItia5ne0Xe2zh5YlnZnptUusc1Gj/Df8d9btt0TP1lrvM+BXG9jdq1fErUHhxG6LCjqLwUhjawium8OKGWIWXnXesG/yTtFB4SUqMx4cRoPDCuZEnAQovedIsd10UXso9/nn3nsKLG1EKL26cchFeUIm6FdkVwgrkuC/sm60lCc4OsrApSnhRYUnjuviv/fb8vgQtjz502l+MufkvDTN5zYo5tundNOzl3AuNeX5me7XphG81LQAO2q9itvxQekRXXtsw9z9o2oL36CV6TF+tbhbVmm1C29ppHqSnPPhM7dvoUcac+v1KXtV2XT163+2xW8VM2S1595YZ3WvyfDYlbwHP6BYCI0dUTUMeue/3JRcAu4UB+5EfgaVH9Zp3F/Z5c4qFBLIQWKK3aiqyjFi4iM+mLBx5bpPAUqN6zIKFdVPjwylySmB9yZKeQKUhJf3pw3Mm4rfc9/AzgReHCLTTtpvmZvGC4MG4HqxeEOvFL7zMe29RbhBuvhXCizFrTYLw0h7Dcu6FFfPCi422atOJ324iP3A/Y7bcIj3+q6415v6H2oP36JEivPQ1RHipe21C29ppHqSnPPhM7Rv+euZpedXaffXofbeHiC577Jq8f8suOcLk+WxK3gKe0S0ERoko3Kg3zEIKL90ypMPaDyza31lQE+GlPdY4wwqDF89EAKJwRf5vwaL2yLiZqTM8edgJLCWi8IL3a6Ym7zuWYAL4XLqMrC9Z0hPoSOElqLtFxXiB8GIXv/DSqhgvi8Sw5tbbqmaD9ermA6unH/CkZ6rLQzvFG6GrUdJRbJ/j1dUILfrBd/OzFmufHubTEroa5cORtWQnQFej7AxZwwABuhpxNuRFgK5GeZFkPSBAVyO3eUBXIzdOYUclEl40TkpYZf7Uy9maluxsv/CSR1YjTZfdDsLLM3+rmiuvqZqtt6ybj01pnVklhZdk8zDt0WOXWUJMHGtmvqjtKk60k9iVtl/+8yi8uJGk8OLGiUcVT4DCS/GMy3QFCi9lGu1i+0rhpVi+ZaudwovbiFN4ceOUi/CCgLrbb7lRS4PounbPL7zgPKSQfn7WK14VkydO6E8trXVG/e7PeqTnDJfFi25YJ0005vBDWmcpQOHFdQZmO64swstt06sG/6DQ4iV8zlB4yXY/8ez8CFB4yY8lazKGwgtnQV4EKLzkRZL1gACFF7d5QOHFjVMuwkuQuJHt8p1/dqtcjSi8DMwVdTVKm2pXa7p+ao9nXdIOliUUXjr/WZBnDyi85EmTdWUhQOElCz2e6ydA4YVzIi8CFF7yIsl6KLy4zwEKL+6sgo5M5GoEK5D9P7lzSzMYZete8WcXIbysPL5hvvylwcHCKLwMFV7Sptql8FL8fRF2BVq8uLGn8OLGiUcVT4DCS/GMy3QFCi9lGu1i+0rhpVi+ZaudFi9uI07hxY1T2FGJhJdvn3qhmXH/E+bOG87JdtUuOrsI4WXsGGNOOH6wOxGFFwov3XDbUHhxG0UKL26ceFTxBCi8FM+4TFeg8FKm0S62rxReiuVbttopvLiNOIUXN065CC83TJthTj79otArDmdw3WwY0p9dFuElSAxKQ+3Bh3vMzFnG7L9v+vR/6mqUl8VLkIVRmr5lOYeuRlnodd+5FF66b0w7tUcUXjp15Nqz3RRe2nNcOrFVFF46cdTat80UXtzGhsKLG6dchJd2Dq6bDUP6sym8JGN31tm9Zs5cY04Ui54xYtmTpuQtvOQlKqXpi54TJLy0Q7uy9CnoXFq8uBGl8OLGiUcVT4DCS/GMy3QFCi9lGu1i+0rhpVi+ZaudwovbiFN4ceOUi/DC4LpDMVJ4STYBVXhBDBtYmqQpFF7SUGuPcyi8uI0DhRc3TjyqeAIUXopnXKYrUHgp02gX21cKL8XyLVvtFF7cRpzCixunXIQXBtel8JJtuhmjwsvhh9TMpIndI7z87zm9Zo01jNlnr3SpvmnxknVmddf5KrxstmlD5lRytzy8GPMUhbuLLnuThACFlyS0eGwcAQovcYT4uysBCi+upHicCwEKLy6UjKHw4sYpF+HlnIuvM3+58yFz42WnZLtqF52d5+ZGrQHaMbhuXm4v3Si8zBXXqTPFhSoLozIKL1nczbroERLYFQov3T7CndM/Ci+dM1ad0FIKL50wSp3RRgovnTFOndJKCi9uI0XhxY1TLsILXI2iCoPrZhsMF+Ely+Y+Tet0A5jXdSm8BI9CEcLLnDnGi6NTqaQZ+WLOsV2NKLyEM6bwUsz8Y63JCVB4Sc6MZ4QToPDC2ZEXAQoveZFkPSBA4cVtHlB4ceOUi/CS7VLdeXarLV7yEkBcR4PCSzypdrR4efmVirnw4h6TNfNTfO+THUHhxY0XhRc3TjyqeAIUXopnXKYrUHgp02gX21cKL8XyLVvtFF7cRpzCixsnCi/ZOIWeTeElGdhutngBiR98N3uMlyjLJ1fajzxaMddP7TFpY4S4XifpcRRe3IhReHHjxKOKJ0DhpXjGZboChZcyjXaxfaXwUizfstVO4cVtxCm8uHHKRXihq9FQjO0qvNx6e4/prTbMjh+pZ5ohtHiJx6cWL+0ovEyaaMzhh6QTg+J7nvwICi9uzCi8uHHiUcUToPBSPOMyXYHCS5lGu9i+Ungplm/Zaqfw4jbiFF7cOOUivIRVgmxHXzv6ALP3lO2ztaYDz85TeJl2S9XcfW81MEirWjC4uhppyuW0Fhg6FOf9vMe8PruSKXCsPaxq8XLQ/jWz/nrdkdWIwov7jUvhxY0VhRc3TjyqeAIUXopnXKYrUHgp02gX21cKL8XyLVvtFF7cRpzCixunQoWXMmc7ylN4gWsIBJaorEatFl5UKHG9btx01PqQIhduMGmKikpZ45cE8a5L5t7XZhszYVX3llF4cWdF4cWNFYUXN048qngCFF6KZ1ymK1B4KdNoF9tXCi/F8i1b7RRe3Eacwosbp0KFlxumzTAnn36RYVajbIMBIeCZvxmzYEFlSKyQ4bJ4UaFk1KiGOekbokpkLHkKL9tuXTdTdk/vShUkvKjV0WGfr5k113QThmARBMsglLQWRnZWIxUnsjDX+TJpIl2NMk7ZRKe/845kkapWzFJLus2dsMopvCTCzoMLJEDhpUC4JayawksJB72gLlN4KQhsSaul8OI28BRe3DhReMnGKfRsWLwsfN+YkUtkv4AKAUEb+LTCC8QSbODTFhVKsogK9rXzFF6yBo4NEl6uvAbiV8Uksch5cVbFXPqr/IWXLMyTzpe08yPped1u8fLD00aYESPq5pv/nU2kpPCSdGbx+KIIUHgpimw566XwUs5xL6LXFF6KoFreOim8uI09hRc3ToUKL0ec+CPz5lvzzI2XnZKtNR14NoQXbOCxUc9aXIQX1824uuOceHyfGTMmfctchZf7H6iadddtmOWWjRZ5tF1JhA1/67WOIoQX3fCuPblhttumbtacFC9aUXhxn1/dLrzkFVuJwov7nOKRxRKg8FIs37LVTuGlbCNeXH8pvBTHtow1U3hxG3UKL26cchFewrIajRuzjLnzhnOytaRDz26V8HL3vRUz7RY3qwo75kgrhJe/P1s1v7mqarbZqm723CPa9acdhRfbpUeDCWM6TlzDmCMOjc8IZAsvaXkHuRq5imxBt04eKamLuCUpvLhRpfDixolHFU+AwkvxjMt0BQovZRrtYvtK4aVYvmWrncKL24hTeHHjlIvwku1S3Xm2Lbw0xDiiUknfzyiLF3vDGhdHpNXCi7q1uFigtJPwom5FtsBhW/i4BhRuZ+Fl1CgjsXnixaP0szbZmfY8/vKXambl8fEWRcmuMLxH523x4ir++XuNF2Oegb+HlyqvPpwEKLwMJ/3uuzaFl+4b0+HqEYWX4SLfndel8OI2rhRe3DhReMnGKfTsma8sMDdJGuhtxdrjvAt7zB4frRsEfU1TyiS8ZMlIlJerkVoVhAkvhx9SM5MmxgsD7Sy82H1LMyfzPscWXlz55t2GourLI7uVtk3nJoWXokaL9boSoPDiSorHuRCg8OJCice4EKDw4kKJx7gSoPDiRorCixun1MJLmHtRUIVlzGr09AvzzW139JiJH6h7sV5crD6U3Rv/MqZ3RMWMG9Pc3Ee5E6W1eMlqVeAS4yWNxUu7Ci+n/rjHyyqF4ioMUHhxfwhReHFjReHFjROPKp4AhZfiGZfpChReyjTaxfaVwkuxfMtWO4UXtxGn8OLGKbXwkq367j/7gccXmF9dUTVbfsiY6XdWzPrrNcxB+7sF2v3+Kb1mRG/DnPzN5vEqYODf/e5EaYUXV/EgbKQ0vXJQm/QcbbdL39VapV2FF20fhZfBM2LOnIp59AnE8ZEsWSPT39dlEV6yZhOj8JJ+jnXLmW+8UTVwXx0/Pp0FZV4cKLzkRZL1gACFF86DvAhQeMmLJOsBAQovbvOAwosbJwov2TiFnn3kVxd5v8HSBQKEq2sArCpgXWELGkhjjLgj7SS8uAT1VeHFpe/tJLz4Y7zYY4Ix+NQnGmaLzeNFtHa3eMkqAoCFCnAfn1IzW20Z736Fcx55rGLmzq2anXccYFgW4SVtkGV90FB4KeiB3UHV/uDUXk94+d7JwxujicJLB02aDmgqhZcOGKQOaSKFlw4ZqA5pJoUXt4Gi8OLGKTfh5YZpM8zJp180qL5TvnWk2XvK9tla0qFnq/Cy5+41ifUiLkeOmXCC4kFEpSUeLouXKCscHbJOFV78MXXsMdG+HfK5mpm8VrTQYI9bWteuorIaoR9ZRQDUoaySWCpBPBg7tjEo1TqFF7cHHYUXN07dfFRegZqzMqLwkpUgz7cJUHjhfMiLAIWXvEiyHhCg8OI2Dyi8uHHKRXg55+LrzAWXTzVXnf9ds9H6a3p1PvHMTHPgMT8wRx+8lznuC/tma00Hnq3CCza3Z57dm6vw8sLMinnjXxUvTXOSNLy2gJDV1aidhJeXXxYLiv8Yc83vmlZBSeLpBE0tF+Fln71q3nWiii28HHFoTeaAm0WIXWe3Ci8LFzTMLjs3zLrrNN0lKLy4PeQovLhx6uajKLx08+iWt28UXso79nn3nMJL3kTLXR+FF7fxp/DixikX4WWHvY8z+39y5yECCwSZa35/m7nzhnOytaYDz/YLL0iPC6uHuOJi8XLF1T1eemrEjOk24QWZn6bsnix2wbnn95jZIkRpyVt4eX12xZz386aoo2W4hZe0bkJx8+VPN1fNSisa86HN3cYgrcXLrJeMqVYr5vvfabrk5S28/Pvfxrw6u2o23tCtH3H3ZZbf80zjjnmI+ehqQedvN9NJZxnJ9jhXhZe0z4C8ekGLl7xIsh4QoPDCeZAXAQoveZFkPSBA4cVtHlB4ceMUdlSlIcW1CmQ4CnIrUvejMmY1soWXS3/V66E8Qaxf4oqL8GK7asRtpO3r2XW7CAdRbbUtXsI2AGlcjdKIJnaGJbQ5TR12X/0WL7blih7n4lqTl8XLrH/UzI1/qpiRIxvmqaebAlNaN6E4gQN9R8DcIw6Nn6toRxbhBedrsOi4dsXdN/7fr/ptr3n6GWOOP7ZmVlje+VE2qJr58yvmjhkVs8nGDQPhNG3JU3jRuU7hJe1odP55KrykfQbkRYDCS14kWQ8IUHjhPMiLAIWXvEiyHhCg8OI2Dyi8uHEKOyqR8EKLl6EYkwov2KS/+WbFrLZao9+6Qjel/iCt1904ECOjFcLLQw9XzTrrNMwySw9sPm3hJWwDUHbhxQ6KnMXV6M57auaa6wYseooUXjCfXpxVTSy8JBG71F3G7kfewoteI4tL3eNPVs211yFjU93suUd6yxkKL9leRjx7MAEKL5wR3UiAwks3jurw9InCy/Bw79arUnhxG1kKL26cchFeGOMlXniZLzEtYBkSVs69oNfMfgPuQ3XJYFT1DlPhxXZ1gcjRSuFltrhrnPvzqhcI1Y5p0s7Ci0v66qjbw2/xYgsoep6LxYvNiMLLAPFWCC9qGZJFeNHxSyIqBc2rPGMrFWHxAresK67uNR/fs2bWWjO9ZU+2Vw7PdiVA4cWVFI/rJAIUXjpptNq7rRRe2nt8Oq11FF7cRozCixunXIQXVNIuWY2OOPFH5r6HxcdgcZk8cYK58bJTBvXzU4edbJ6f9Yr3t6S/w7rnrblvG7/7FNytxo1Zpj+ejVq8jBcXBaQj/o8Ef1UhJQi6bqg+e0BNhJWqd44e7/9i3krhRa1tOkl4SeuGoePiF15sAaXThRe7b0GiRKstXrQNeVu85CG8aJu6XXjRfqaJr5TtNcOz0xCg8JKGGs9pdwIUXtp9hDqnfRReOmesOqGlFF7cRonCixunTMILxAaUdorhAmHEDuaL/95+y43MaScd5bUVwsybb83rF2Mgwiw/bllzyZnfdPod9Y0bs6zZYJ01+uv89qkXmqeffUkEmXlDhBcbsIvwAosWxISZM3dAqClCeJkiaa633Tr+67YKL34LD9sKpN1cjZIIL48+VjErSjDZCasOsHARXlw24+1o8eIivDz6WNUpHhHmttbnwkPvBdviJUh4yRp/CNfpduHFNVi3/wEfFFxXhZeslmLZXjk825UAhRdXUjyukwhQeOmk0WrvtlJ4ae/x6bTWUXhxGzEKL26cMgkvOFnFF/x7O6aOVlFErV4gnHzt6APM3lO29/oOS52fXnB1v2Di+vvJp1/ULziBAfpuZ3BSi5ekwgsyH10pWYvihJcllmiY/fapm3vuq3gZYVDigi3asWJcXGVQZ5jw4o87M2bM0Kk0XDFeXIWX+fONOe2MXrPqyjJ3jxoIJusivLhcwxZe9hVXrU1j0k8H3YxIJ51njJe8hZc06Y07TXhxGeuox20RrkZj5X5zCdbtIrzonMjaz2yvHJ7tQgCWkKf+uJlhLYsbncu14o5hcN04Qvw9CQEKL0lo8dgoAhReOD/yJEDhxY0mhRc3TmFHJQqui0psF5+tNl+/34IkWzOynw2LFrVOeeKZmebAY35grjr/u2aj9df0Krf/hv+O+h3nqDAz9Za7zPgVxvY3cNXxK8QKL//z7boZPSrYyuSMs5piy5GH1c2ttyPAqTHfOKFmIGhg4/Zj+R0Ff/vt9T3e72usLq5Skxvm1tuagVdx7pqTwq1YZr5YMRdd1hRpdt25YXbdKT5gqJ6z3TZ18/EpA3XbdWk7/aOFfqBtkyYa88XDo1Npn/S9Zv9cjvVfR8/Vv7vWoVyxif26cNXyuxuq5qFHmkzRtxeEG/5mF4wjxjOqoA49b7+962bzzeItjPz1YXMz4566ufGPDTNfNl1avirZesavFHn5wB/tvgXNF4zZw9Jum0fUVX5xaXMuujJHXXoO/l3boHMFf/u0sNoiBSu7nfb9FHVPRPUtyfyNqse+f+Pu0bgR1X7552zcefr7SmNGmTfmLhh0uM6JVVZumOOOiX8muF6Lx+VPABnHzvjf5rMo61zK2rqlR48w9XrDvLfQLQNa1uvx/O4msMKyI81b77zvzSkWEshCYMlRvaZqKuadBYuyVMNzScAjME4+gM57r8/01bg+ipoSWF+ypCeQWHjRS/ljvQynGxKsXabecne/ZUqewstaa6zqiTQa1wUBhuMsXk79To8ZN25wdhrldvIPa+IC1TAnfLnX/OHmunnuhbrR498Ty4wTT24ubvG3n55X945dcrQxu3yk6h2PcsKXe8y6k4Prx+9/f75hzjqvKTB8Yo+q909c0XO22bJqDj1w4Hi7rrB+oV34Z521qubEY8OvZfcv7tig9h594uCFv2vf3hKGJwn3cWMr5nvfrJqRSzTZ/fIqsSS6v8kUfXvkibr57Y1DF4NnntLrjUFYQR2oC+UwYbe1MExaeqoVM+O+mvnllYMf+HFjHXYdu2/+OubMbZjLr6l7QZ5PkX67lDPPrZtnZa4mGTc9x56zOlfwN8wzzLcsZeB+ir4noq7hOn/j2qnzzO5v3Dlhv2u/lpfniOsY2XX19lRk8TB4LuucSFtn2r7wvOQE3nzTmJNPaT7v0j4Dkl81+IwqblGZStwn50W03PUEPZvKTYS9T0tAlk1GdBcR8dLWwPNIYIBAj6yb6rJuoiQcPSvwDGdJTyC18GJfMiwQbfpmuZ8ZlWkpD4sXuCrBygdWL4gf4yK8RLkCwXwcZuSbbWrMI482+2kfb/v1awwYHAOXIXU1ijM9nzO3YqbdXDXP/L3inYd/4oq6FPnjP7i4GmnsiDgXBtsVI+7YoPYqG/3NNUaIfd1RIqCc9PU+M/WPYvHxaFUesgNj8IjEPFHG9vXjeOflavTkMzXz80sGP9Dirh02rrar0UH71wzGVct1N/SYRx9vXicqHpFdN12N4u6gpsXamWf3egemHTe9isauKcLVKMm4x/eaRxRBABYvZ51DV6Mi2LLO4SVAV6Ph5d9NV6erUTeN5vD3ha5GbmNAVyM3TmFH5SK8DFfwXb+li91J1xgurjFgtO4g4WWtNSvmhZkDG9so4UXFg6qsqe1Nv8ZOCRNeENQUG3zXTV3SDCYqsPgFkW4QXuw+gJ8d2FjHFX9LI7w0ZNgfeFCskW5qWm5kifESJLwgFhACrCYttvDiF6js2CsUXowntuGfNGKgPS628OIqCoaNa9HCC1Lejwpxh0w613h8/gQovOTPlDW2BwEKL+0xDt3QCgov3TCK7dMHCi9uY0HhxY1T7sKLWppoxa12NUJMFxR/CmltTx5ZjezgvGHCy/dOf99st23DXPO7AZeJqK/dfqsNFQLihBdsvl+fnVx4cc1Co+IE2nGQpLpeZfFmv1uFF7VMSCu8vPdexfSIeHbDH8Sy6BkxT1xsVJREeHnqqYpZfgXjCSsIrtsJwksSCwwVD2yx0E4nnVWcQL16Db9VT5LHorYpSd+C6rfvlax9K0J4ufKaHoMsZf5nThJWPLY1BCi8tIYzr9J6AhReWs+8W69I4aVbR3Z4+kXhxY07hRc3TrkJLxA8np/1ilffcAXX1RguQZ065VtH9mcysts6eeKEISJN1O9+i5kw4eXcS983m25cl9TQA7EygoSXl1+ueO4tKp7YbQ9yNRo9umH6+rC5b3iuSdgUIiivvYnFv/eJq0yvL0zH9DvEhUaMJLChdBVe7LTRtnuSvZkME5R04xqX+na4XI2CLF6SCC/+TfTTz1TNVb+tmnXXbpi/PzfYNSiJ8AKrlJEjG+Zje9Q94eXBRyTGyxX5uxrlafGSRJywhRcVRooSXrIIHcMpvCxa1DBXX9srcYHqZvJaA5ZNeQsvEAbPOLPHvCuCIYWXbC/NVpxtCy9ZRMU82sqsRnlQZB1KgMIL50JeBCi85EWS9YAAhRe3eUDhxY1TJuHFL3S0YzrpbBjSnx0kvATFVbE3nP6rBQkv/mPgFgABBrE69tmr7rkJvPuuZEE6s9fssF3D7LbLQLYebNo23aQZE8YfsyWsp3acErv9EIrO+3l0rAHXjastvCCI1QGfqZn11omPP6Nt9lsLQQi6866qsDBm/0+HZ1NyFV5uva3HPPbE0KBR/k29srLFMG2ja0wdHA/hBQX1h6WTThsrxNXVyNXlRN2T0govyjBv4UXnRKcKL2EufnkLL/b9jTmX1oUt/ZOSZyYhYAsvWeZ2kmuGHUvhJQ+KrIPCC+dA3gQovORNtNz1UXhxG38KL26cMgkvwxXDJVvXWnN2kPAyYoSk3T60biasOiAquAovGnxXW6+Ci/63bcEStWlT4cU1bkWY8OISMDSN8IL+xFnjwJ0HFiFw6UEJEl7U0igqVolfeDni0D4DIcEuSGusqaX9M2fK7jWz7dYD1ghan39scF6U8IJ4MJdf0Ws2/qCkiB5vzO/FAmqZZcS1S4LfDpfwEhWPyObQqcLLu+8Z8+BDVbPlhxoGVmRBJWz+YrwqEcHb/b+ncTVqlfDif/6kFfRa81TlVSi8cA50KwFavHTryLa+XxReWs+8m69I4cVtdCm8uHHKJLxku0R3nw3hBV8kbbcK9Ni/sXERXp56umJulJghsGzRAguD5ZYzZtZLzb9ArNh917q594GKCDvGXHHV0KCgaMvc/1RMQ3aGQcLLjLurZtllGyIADGxEbeFl263rZsruTdFouIQXuEZ8/4e9Zq1Jknb44GZa1byEF4yXWpsoZ/R32i3BqY39YootvIwYUTFvvz0wx/3HXnp5r/nQ5nWz0YZ1o+fBJWv2Gxgf0z8+YTFe0m6QXS1ekgov6KlrQF77nsjb4mWBpF6fPqNq7rqnOWZhVgG3Ta+I5VeP2XWnutnxI8HWVTfd0mPuuXdwlifMv9N+0mvWX7dh9v3UUGsq3EO33lY1Xz+hZpZcsnkftbPwcuXVEt9FspxpSTuvuvtp3j69o/DSPmPBluRLgMJLvjzLXBuFlzKPfv59p/DixpTCixunsKNyyWqUrQmdffaRX13kbfpuv6OnPwYLepRGePne/9frbcbt4ndngfAyZrmG50aEQLgQRvziir3hVdcQWFdsJELL+BUb3oYSxXYzsYUX2xLlSQkAe83v8nc1wvWjrHFswUc3+nkJL9ts0zD33DPYlAEWLXcvODu0ZgAAIABJREFU3nwr/1VWNua114dasegG2y+K4bxNN5FAuWMa5sNb1M3SSxvPsmbsWLiH1bzApghwao+pMiij8JLELcv/lHj8yaq59roBoWy3netmk40bIlIOvoFU8Iy61nU3SnrtxwYLLzr/wlyr1ALIjunTzsJLnDDs5/v2O8b8WqyzwG29dd3dATv7ad4+rafw0j5jwZbkS4DCS748y1wbhZcyj37+fafw4saUwosbJwov2TiFnh0mvCCGwviVGubW23vMphvVzRMiYGATGFRUAAnKeBQkvKAOTS1tCxjz5hmz9FLGXPbr3n4LGd04YuO100dqZtLEhtHAsra1gy28jBeLjC+Iq9Q7EkPm7HMHIveGWxU00/HGxf+wxRS/8ALBCVYEG20owpIIF3rsLrLx20n+QfHzQfuD+uJn7Hc1ChqDzTYRpo8N/gWiCCyN/Jt2jXuD/qJo0GP8+2abYmya52y4fsP87IIeYQ4hTtJVSzpwtbRRNyUVuf750gjzyBMN8+DDg9uw9yfrZuFCY155tWL22zc8jo2/T64WLycc1yfCUPzNEZSC+t//NuKeVTUflDGbsOpQN564rEZZhBeIZNPEUkVLVW6tHvnnf05qWkdpKVp42VMspbYRCzEUe5659s22gsIzQ4uywzzB8yFpwYvx1TfFLGhxSSq86FyNcwdM2i4e70aAwosbJx7VeQQovHTemLVriym8tOvIdGa7KLy4jRuFFzdOYUfR4iUbPxMmvEAU6O2tSPDbHs/aAa4/YcJLmEUHmoa0zq8tTiON/157ct1UqxXz92cHLDYgEOwpcUjO/4WIPGJxMXduJVR4WWUVExgs1x9889DP95mnnu4RIWDgOujH+4sq5qabq+aoL9S9je6KK9Q9lw8X4eW++6vmj9MGxCc7C9JDD1c9Nytkd9lzSl36V/XcqGyxx795/MLhNXPxpc3Nd5TLjIvwstoEY15uJuvqL3AzgXuG7Xr13PNV85hYRzwuQhq4/+c/g4UXbLjBAv+7mQQ4hjA0bpy4S32+ZmbNGgio6xdeLv/1CMlEVTcvvDjYEgcxRhDnBu5nrm5B6ICr8LLUksZ842t9obFMIIjd/2DTIuSVV5todt+tbrbfttlP7Sv66y/2eGnbbZc7V3ECmXhuF5ehD20hFlsiZqKEue7pdf7xj4r5jwiRz8+seoKXPYb+dgZZvNhWTSfIvewvCDgNAc7uwxy57xBzCKKha9/CrqPsJq3RMIcfOnzCi2tw7oyPUZ7uI2ALL/4YU62GVVRw3flyX8+4u+IFgl9xxVb3itcbLgIUXoaLfPddl8JL943pcPaIwosbfQovbpzCjqLwko2fJ7wgOCo2gnaq6B23F4sHsQTABg1uR48+3twA+ottJRJk8TJJNvcvLo7vEtZUCADrrVvrtwBQSw0cr1/MPYuXHWpmjFg3aEBaO02pX3hZV7INQfywC0SQWf9o9gOiCfq7rbjtjFyi6foUZ/Hi3yzbx6tQsKm4ixj5/8fElQQxaqKEl/XWaZi/LRagsgovQWzVCsbeRF9xVU//NYOEF3X/wjkInDtVxCQUWIUsuwzcmQYzVYuC/ztnhFj6DBVe7HYVIbyg/qgMN8/8rSruUYPbrOOmYxYmMtjCi1p1hQkvT0mK7muv6zGfO6jPTF5zwHrm93+qmhdeqJq35gwWM8KEF3Xx098hHMDFy2+58f4iY/7vZ71mO7FWeV3i7fhdjWyxLiimjfbNX69aBuUlvKTNaJOXxYtrcO6Mj1GeHiG8uM6loiCGCS8vvlSRe0tEZrGkHD06+dWn3yFxkm6vRoqiyWvlGe1OgMJLe4zQO+9UxB06OOB8e7QwvhUUXuIZ8Qh3AhRe3FhReHHjROElG6fQsyG8YLOHAJ4aAFcP3nNKw9w0rRL6O45Tqw/7C6d9MVfhZdLEpgUCii284L+xccRGcd7bFXOgiES/ubJ53Cf2hDjQ8FJO+4WXoFTJ+PI6b17Vi4WiFhu4ll47TnixLQtwfduNwp/NSRksIcFrjzxikXBqxkuxGdv9xBgsuWTF/PyiHrPf3n1mgw2GZiFKOgX23EPG7+YBqwbEu5n6h14vOw7ci1R8Cqp3ebFyefOtgV/A5jBp4/kXDg6erJYYEF7efqchFkXhrUwrvCCmzZ4fHbCa8HNUseJp2UStKa5oGBct/nlhj1uQ8AKrD1hjwXLJFl5UvEAAYxWf7A1lmPUM/v7oY1WPty1yhAkvKiZqu3WO+AUSFVYQxweudSq8KGNX4WUDuXdwT2lJKrzYqcltyxq9H5IIL6+8WjXPv2DMjjvUTVbhRflSeEn61MjnePt9ECS8wBJt+h1N4XuJJfK5ZlgtYcLLn8Ty8d77qhKIfXDWN9fW6ByjO5srse44rijhBffEq69VB2WT7A5i+fdC772jv1gzq67SueILhZf850aZa6Tw4jb6FF7cOIUdRYuXbPw8ixdsXO9/oGqeemawRYuKJmHCDC6N+BpfPqpm3pO0t2ed02NWWMEYxM7QgqChDz1aFZeWiqnXg1+Q2NRr+uiRo4xZSr4+vrfAGGR+QVHhBZvXXXZsmL+K2wYK3FjW+ABSXw+OPxKGBG4pG6xfNw9Iel4VXuxrq4iENNBvvmnM6qsPbi8yqyAWh80JbfPHfvFfXxfmfsEA1jGPPt7sCxgjEC7ifvg3KkHigcuwf+XomjnvF71mx+1rXp122mGw9AtccXWecHzNXCauKHZMGG3raWf0mvkDITkCq1JRAAvMqRIs+cUXq2b11YzZV4QmHU890XY18scJAcdFIvCo6xAyOq0jLmxnn9c7xPoljB3GLUhk+JO4kt0rLmWHHVzzgjJjXiMdOAINI57MjX/o6bf80nGFZdXdEuwYX9D1b2ec1WuOO6Zm7rlP3OZmSV/F6stFeFGefuHlg5JVCnFoPixppZeQdO8DmalgLZZceFHrtEkTm/F7tKQVXvQ+1Xq0ftsqLW5+aZ9hXbTmhFGpY7xoJihcj8JLHPVifo8TXv4mLpBXyPPUVYztkyl65v/2mM3FXQ/vlCQlTHjRZ0xa4YTCS5JR6J5jixJebv5zM8vd5w+qmXXW7lwxoRUjrR/Bkgj7rWhX0mtQeElKjMdHEQgTXrD/QvbS1VbjcwX8KLxku48ovGTj1y+8wGTz5ZerXkDaO++CVYOIKiKIYJONxfF1Nw621rAvO1oEjQP3q4sLUDM1tG3VoS9Gf3wT+3zEAFlvbbjnNEUIXHeiWC6oa5MtvCAY6E1W2mTdWKUVJ2zhBULOhAkN89Fd6uYySaP87a/3DbKegNsVYszYLldoW1wMFrjvgKEtJviHDcLLLNm4YzGvAU+fEHeliWvUxQpgIKht3HCvK+5LEkLHPCvn/M+3+kTsgqVNj9lN+vSSxA1Rl6o0wktQ9isVCoLczPxtVZcgmxfGb4vNRBSSrFr/9ZUBcxk/K9tdBnMJ8Wf+agV7hviAzdwGEhB4n736JK5Mcy6FzQts7rHxw1zVjdcTT1XNnTMqngva5psZ8/Ajg3uw5prGvCv3x+zZzb/reaf/BAJN83qIqzNTBKWF7zfMZw+oe2La9Bk9pl5rDBJebMsZ+yr4+n+kxP6ZI65JyCCl9xMEP4wl4qUgbordL43lg3qCLF6CNrc6Xn4rLxVeILoeLoJmXLHbYY+R1p8k7bNmzUJ7N1hrcHBd//yKWnDbc6fdhZc/iCsaxMdNNk4mJkSNy/WS5Qrp3o/+Yvz4xY1v2t/jhBedN67CS1gQZ5f2hQkvuL+C3Phc6sQxnSC8IL7Us8/Js0pip3VDmf0GPuIYESbyu1+ScgkTXt6aUzGL3m9aIKYp+tyyM82lqacM5+QlvCB5wKpiNbrv3snjkOXBmcJLHhRZhxIIE14uvLjXiwF5EvY0Kdxqu40whZdsI0rhJRs/T3jxx8jwiyS77lQ3d8mX+3EiICBWBQKl+svOH8HmOZ3wgrpQoy5XsBn85Mdr5le/aQaeHSy81ER4GcgGEyS8aJwSnAtrBcQqgVWKXYIsXvA7rr23xIJBHBn/pgBcbEEIx+MYDUoaNRT7fqrmbej9MVL0HFgG/E0sJ7AhwcJr1Gh8Ea6abbaqey5Bmk0o6hp7f7ImgkHD1GQN0Sf/jJRNvFrjTBTLoEmTmlYv6PvoUZVBlisu02jyWjCFFmsksQLRAjP9zSUTElxL/GXJJaUt9YpZKCIeim7C7c06LJz0dzs9uF94sccC47DGBwashfzXtV0HooLYQnjBmKiAcv1icTHODUuvp+fZooDt4gYBrSH/p9mL7C/rUSLcOpMb5tnnm/eYX8gMYmhf00V4sS20Rgn/k74xsEHXzSiu/a3/hvtb9CYiT+FFN9d4Hm2+wWCLlzyEl3+JJd4omffLtElcANxHp/9E0rXLMycoALLLPRl0jLp5uYoaaa8Tdd5rr1fELbH5TAhyNdL70rWNccGio9oSJryoyJjV4qWdxT214PvcgXWDuGedXq6+tsdzTYPwOlwlTHg5Rd6BfRK8/3snpxM89Z1gZ5obrj62+3XxMQkfqrJYvOh7MG3mvTwYUXjJgyLrUAJhwovu6Vzft91OlMJLthGm8JKNnye8BAkMg1MMN7+wY4E6a1bwhl2FFxxjW4Toi1E3dMstK5l0JFtLVLED6qIdXzqyZrDgwosS6ZltS4cg4cWOXQIRBsET/cKFblbxv7CQuORXvV6TbOHF/7UeG5r11zPylXRAfMImES42GvA3rF/Y4EJECcsMBU4QXvAFVi0lcCx4TvxA3Ul4CQqiqosLjaPwvnyRCytwZUHaZy0Qa15/A30NPwfttlN820eC3w1TB1yTlKc/lbKeY89DvzCh5876hzG/u67X7LLT0DHVeuwMQGHCC8YNrmN27BVbeNG6EKPn/UXB4gNiC+2zV32Q6KSCHs7/yA4NM0/m7KNPDIgocIs77Ywes9P2En9HTMvjij9WUZDw4meO8bCtiux5jGxJyy47kJId59rzxubuYq0SJLxA+Pt/pzTvpwM/U/fc+1yKthnX3W6LAeHlSbFEuuZ3QwNl494IKnYfVpU5vYPEEVlrrYbHHfEA8Dxph1LUwl9Fqqig00X3H4Lm9TdUvYx29v0IF8P33qt6mc4wd1wXgkUIL5rZC1aOX/pC8jnRCXGE9F7IskEteq4kqR8bbrg3t6Pwoved65z29zsu2HsSTrDeXGXlullh+SRnBR/7zrsVs6R8rKkO/baSvfKUNeQpvPjfgSmblOq0ooWXZ5+riotJxWyxefLnW6oO8aRhJRAnvAznmmBYwfguTuEl22hQeMnGL1B4uVRiaLw2u5kCGGXNSXCfaAovMCH3B+HFMRMlHsqsfzaPCRJe/np7j6SnbkgAVmOeFJcimEBHFdvKxT7OL7xAZDni0Lonhqi4Ym9+ce62WyMbz0BAXfxN49dAEDnmqGbwXpQg4QUcFixoblb9mYC2+nBd3LMqkrp6aH8QoPZd+aqtwgWsB9Qlxd93LCTvkUCP2LDg4fiaWJagP7q5h/ULvvDYZdRI+a+qjNP85t+jhBeXaYINLzIA6biDI9JUw9UprNjCy2YbiWvPEwNH+oWXgz/bMKuuWpd4QsGpyXH8ciIKIH21X3iBRdA4WUSee35z9YfrhlkBqRiHuBBwmwsSu+y2Yc7Cfeeuu6tecGAVHTE3vnhEn7lA4uQgpoy/4Dr7fqrPmxf+AmIV8fmy4xrh+H3E8umiS3oMrIceeSx+VFwsXuxa0K+J0hfMFRUDIQDttnPNY/HnW6te8Nrpdw4IGZg3C0WQw+//FGEGsWpQkgovsFj6+3MV87vrB4skX/qixKdZJV588Qsvt9610BP11CXM7ifSzsOKLKgEWRMd/Nm6ufyKZruC7pP4kcj/CNzr2Pzn3SbdAB4hbmmYC8NVglxxtG2arct1LNQNLc3X6TCLl6CsZUlY5S284B58SbLuIV5VXoXCSzjJF2ZWxD1VXHv3qHmx21xLmMVLGvdK+5p5CS//frNizj53aKw41/7Zx2HtcuqPe80mGzXMp/eJ37zjnnhBXG2PPCyd1Y9rGym8uJFSN2jbmtjtTB7ViQTihBeXNV0n9jtpmym8JCU2+HgKL9n4hQova8iC/XbJOmEXv/CCQLrLj2t4WWC0hAkvdj1hGYD0GGTd+fbXa4OyyuhvQRtuBBxdtFBS6lqbfvt6yJyB4Kd20ZgZ+BssXq6f2tw8j1nOmI/uVje/lS/s+pUQG0J8cX9XBBa/8ILNeZhFSJSFELIxYTOvIgfcY+67v2mBsYu4dsGVBhtnCEvYpLwoAVptwesD8juCyj7w4ECa7zTCC2K//OWvzVUnvtRdKpY/KjxAhProrvUh1gY2R8TF2VAyMCFj0gH7NszV1w1w9gsvEJ7QX/Qdwb78ZcmljFlXggqC+69+0+tluEEgWYghUz7azFZ0w++bbY0SXnDcRpL++mHJJrSNZCeaIYKKv9giE8ZpzHIIUNs8zrb2AtMwq5ko4cV/H6BeHA8/WwhCcYGNYakFQrAMsNO8x1m8YP7OlRgIiBvyz5cHev0VCfT7axEe5gp32xVPxx3/6xeQXF7StsUL5s8jwtAvdLl+bVfhBcdvsPZIc8pP+zxXp4ULq+I+N1hAmDRxcFBge3yDhBcVX3Gc62Z/yKRZ/AeIxw89XDVbynMnzhUrrA78PS7zVNC5mDsz7q54GyF8+Q8qugGE5dx66+a3iY/qS9Bvet/sK8/XTcUdEcWOLYT7zHUswlzaXNoUJrzY7yGXue6/Flxe7xFBX4Oyu7QFx8DqMCiT002SZQni+xEQT0VwzKOoO5XrPZjHNYusQ91987B4ufKaXu+DTdKvwHHCC+LP7PXxulgWJiORl/Ciz5U80rijLnyMgWuyizukCiJprX5ciel1gvr4b0mM8NrrVVkDRD/7bJfb4RImoixe3pZ02SNkWWpnabT5wLIUmT7Hjgl/ViS1wrrzropZQz6ifkCsnYsqyGZ33wMS0+/4RbK+i/4AG9cGrA3vlI9IG26ILJ3D967TdiJxBBZu2XoV1+vw3ym8uLGj8OLGKewoCi/Z+IUKL1tvBeuHwbalfuEFm8f11q31x7BAUzbbZPCX/KAF34OSVQiZYP4uQf+Cii5kgwLy2hvuKNFD691XXEGWkxdTnCuQ3Q7dFEMMWWlFY664qldipjRfbn7hJQo/eMFyxd446/H6MlXhBW49cKPRstcn6pL6OfwznC44bFEgifCynGzQJ4p483FJya3xWbBYglsH4tD0iuCBlwcWW4+LhdK114XbGas7zNFHNMwFlwy8cmx3HtdpuvJKEotA3LkeRSYscUmbNBEb1KYlEv4bAWZRooQXCG3PSIYubOywwQlyr7LPx8Zwzn+aaZ9RXIUXHAs3mqefCR6nXlk0YaOsxXYbikrljePRb7RjoVhazbdiKmGDiMUYLNCeFCuroLkVxDqK1+cPqnvChv9+d9mMuggvQel6ETwYgTJtYcAWXsYsvYS59IrwL6x2XJRZYqXzD7l3dtiuIVYtveaNf8mC1OfOaAtdWTcFes8h9tWOEtsqbbGFF9eFv7pd2e47/uvrYjtLkE48nxcslKC/G6Xvn3IKCrqsbR4u4QXPXTsuVRphQgN8Jonx8ue/9Jg7RTj7xtf6zNIiNNtFN95p01sHzcOkWcrSzuVWnZen8KJskgqUccILWKQRPfIaK32uJIldBMuf1Verm6V8czKpONwOwstVv+2Rd3LFHH9sTVytwkUJW3jJ+k5IO//DhBc8n350Zq9ZXSyEjzhs6HvwMXFf/v0feyTTIT7U1byAzp4FtK8kEV5gjQ0LGXzog4Wxv+CdMG5s3awoa+IsRed5HhaZsJ6/RtamcOPfc4/076os/bHP/alk3hshYtLxxxZr8RXW3jDhJas1Hq73T/FomCMf7jb+4PBzzjpeFF6yEaTwko1fqPCy5xRJRbzYDF4vgRd5TZ4n8BlFelwsOFcVFwI7YOwmH2yYf74qQXjfam7Awxa0UZmAdMEQJLz09FSGfP32I4AVBpRnpI/+hATpXVKieCcRXtQiAIsnFGwgsNF59TXPgcTLqmBvzsOGIMo1K27YRorVxkJfEOPxIkpUpHPYbB9zVN3z4Y4TXt6Rr/NIswyR5R8vV7zAuB/eoi7Bi+uSqapHYuaI68tlPd6YwspIBSHUCysbxCTxb1LC2u4XXnAu3ESCgjHbdawii4a5slGev9hlyv5tA1kEPC1xb/wF8wrZrYLqxvhjnBre54fgYgsRa07CFzJjlpUgzLBesmMQhVlxxI0ffoe1Cr4UwgIFxXaB88du8dc3aWJTcPIXtOcqEUQhxkA8C3L7i2ubbe2FY8ECc95/j2whgZr3+kTNS9seVvzCy61/7enPTqbnBG1Crr62V9zzjLdAQRyCe0Tse/iximSMqoglV82sskK08IK6PyJCyxYylx94sOJZNfndEG3LHpt90i/c/r7rPZdmc2XXZT8DXRf+iJn0sMRGCdvs25uJLO37/g97PZHTVRgJmh8uwsuHJD30XvKMjiv2PHMVqbTOIIsXmxOOixKywtqmwkvYRiXoPN10BKVZz2vjjcfedAl0v5a4M8K1EM+ILHMhbmxa+XsRwktSgTJIeMljPuU1/kmFFwjg515QlQ1Vw+y37+B7UV38MMYuz00VXlxE+yzzJsriRdeNcW1oZ+FFs8KFBV63rTo3E2vCZ59tmG9KMHy72Os2l/eL8gi6JtZmiJE2ATHSvhj/vI4aW42tFSd4ov0LFza8dU7c+iOJyJhl3sWdqwJHlvcmroGPHi+9VE0cEL1I4QVu/rP/VWmrzEjXXt9jVpcYbVuJZXuSQuElCa2hx1J4ycbPE178D4nf/q7HfObTNfPnv0h6XctNA5sXxFPRYLJY/I8dOzimi7dpkvR8uokLE17s+Ab+LugXv8uv6DHPLc7u4trND8riYYyY+MIcX+tBhp+LL+0ZFDgW9WFTP3NWcJYm/K7BO7Hoh5XBJIl18/777sLLVh+uyVf9ZsriPAoWz4jPgU33UouzzSCIHtyi9vho3Wy3TfDDBwFzETgX5X1Jc7zEEs2d9O0irmy1JeLuNF2APiAmplps4QV/s7PKIHYNAs5CrLHLSf/dMKf+ZOBvnz2gmbI5S7Fdoex6glJbJ7kOYoQ8Khv9uIIFy6uvVs1V1yYIAmBVGmTZspp8pXpZxMmo4o9TpMf29DZdG956qynszJ1b8eITqCVQUJ3qrhV2PbBE0OigzFTYkC4pAiZixnzuwJqXJWyW3DMzRZTbSeYivrxprJ19P1U3f7oZ8ZAGcw3a9NmL4xXFZfHHZw7MExw/ccKIQIsXf1/B6VOfEBc3GZ8wZv5+xy3I4+aELnqTLPbukPg594kbCSzIYAmFYgsvLpsa+z7MS3iBkN7jC1GUdMEexgvPkNtFAMB8PfAzNc81KijtPLJqwXoxqqBNGufKZRNh1+UXXm72glpXzF2W+2kSqxWtW4UX13lwi7xPH3+y6lljBVm16MY7jQhk91ffrRuu3/BiqXWK8AL3kJ9fVDXIzofnc1DBc2PTTeqekJS16AYwaRYhF+HFdU7YfYgTXmC52SuPybggtyqWuLZBjw+6B2zB0+W56SK84F2CjynbiWUqYrqlKTp2ce8WxAgLK/Ya1PX5m6atUeeEWbyECS8vy8czuPjjo5PGUtQPjX5BOqmwFCW8aHvSxNjy91/f/XGC50WX9nru0vYHQbsuiEG/kHh5cC1znetBY1GX/cE990siC3nmZHEdVka4RlbhRd1OjzkK+yn3e6RI4aUdsiXa4xc1X+PuUwovcYSif6fwko1foPBiV4mFMtISI/AfApAeLgEbdcOAFzXiseDFrUWz/Fx3o7iKiFlamPDi/0JkX1O/BkJ0wcL9n/KycS14EWPRdtbZQ4PLvfxKxdwh/qB/WxyTBgt4xFn5rZgq4iW8krzQ3pCUs1rwJRPF7l9U3Ba7jYjBstvOkoFJggoHCS8rizj1ulhZJCmwUoG1ir/gC2eUVUKSa+ix2JystGKjX3yyrY+wAIMfEkwPNT4MzvMLL+B7r/jyPiu88XJMUrBJwwIcScYRdyaouG60k1zXf6xukOa9bcxPzhpox3ISE8YfpyZIAIGr2psiksAfW9urgUVxLQh6ixJapWpgaNd+BR3/gdWbIhzm/dryZfyfrwwE07brtd3lMO4QVc88e8Dn316YB7kzwepsh+1rXoBru9jCC9zBfn7RYOFlpXG95urrh871z4lb1G+uHBDBJqyC4N/1QQJxHJd9RCBacQUEjnZf0Nh1qvCSxNJBz7E3L7PfqMiX5ma/XTY1OE6Fi7AFsP1cjVuMYiN32k9GmK0+VPeEAC12HWk3JFjMos8Q5lD0PgoSXlyFlLRuDCq8vD2/T55XPV48KtzPuCdVGM0ivLgIJfrFWBkHbRh1451kXgXNdd1Io29In473z54izG8TIsxH3S/YTMwXK0BkA8tS3vhX1dx7n2T2k+cA7r2gMk02k7CejZq3avGCd0PWd54+g5JaA7kIL3Hz6TdX9piVVkIMtYH7Lk54+eFpvWaNiXVzsDwDo4o+k+Puf61Dj48SXmCVeqDEjIqKJ4L6XIQXzXD56X3qqV0Zo8ZON4hxz1Rb+M7D7SXN/REmvMDaVdc9uonHGursc3vNRvJxES7M9roU1/Y/R9MKL6jLLxzkKSro2MUJnnpc2DvIblPc/RY1Nk/Jx8urrZiOacYR5+TJSNcLSeelX3jBGv3pv8tHhsUf0OPuiai+B7mtvSPC/owZVW/P1eoYOxRe0s7U7OdReMnI8OvfWxQZNA3B/lYUVwC86pGZBD7AtvCCLwoIwovNP4LJ/fd/9Xn/jn9gru4ivKhij67g322F+6GHK2ban3vE5DC6o/gSX69XvM36ZpvWzS8v75EAYY0hX8ZgwQNLHtucUr9c7iq+sreKUKIFC9eFErQXbkVg/gQnAAAgAElEQVRVcXGqSxwMLGY227h53EsSWyKsHCBpdDeU+B+6mPIfd/BnaxKPosesJkFQVxM/XsQJwWYgrGRZpGScIt7p+oXJfsH7xTMIL6efiUw+zSvqFxjbHcoe66h26fiEuTlh4wk3Hr/L13gRi1ZeuSIbvuS9Hi+iwmyfGGYvyhF8dieJ6bHyeDHlv7MyZOETJARhQYCMWBA4ggLuwhIAPun+ggCN66/XtK6auAYsSarmDdmoo9hCSq9YwPT1hW+K4C4ESyZkknrFc5UTS68N6uYzsuj95a97A0VBmBPjunip2jGN1ltH2MpvsJTSOEz22B4ofuFwg/IX+2WP58K98kyZcQ/SXDYFB9x/uJ6WdaXv/3y5xywhFj2rT6gbWHWhYE4cLWbO8EOP8CLrr2e9dRuStWToParuikldVrRiXRQlWezpObaLic3OZUHkv990cfyz83u9zCxrrQkLqIEgybDow5howX1pZ2/R5/ikiYMDFdt1uLQr6E7DF1m4j2lRcSJKeIEV3S8u6TX77dMwcKv0F5dNXVBbVHh54R91z6XCLhr7J8lY6vmvvV4x51/olj3GP3ZBm2LdaKRpi90n3UjjflF3RFi9nfTNvkTZe1DnBdK/V6WfJxwvFksRQTyDuNt/c3HP0w1zlGCg82enjzS82BZZivJ2Ec7s62QVXt6S+FbIHAmXVnuDGye8oO8uFgdphZcgFxOtC8/7j01peO+iqKLrhCBXOj0vj4DPUcKLzpG4uE2dJrz4BdVXxWoWwWW1+J/VSZ/j9vF+4cUWgtK+N7WdOnZ47xx2cF+ogBrnMpaX8IKMp9MkUHrcfIl71uQpvKSNg+MXXq4Ui/NnrDVQ2j7a63BbCLtXLIX+NK0ZigHJPlpZouZrXDto8RJHKPp3Ci/Z+JlX/j0/8ZcjfL362fkSSVyy2RywX81zPXpAAuYiy4cdgf1mEUzW+AAyawzdGOqNDLHmWEmfDPEGIs++e4uZ8caDj39GAr9dKemU4fKAGCUofvcJ/2IVliyw0vEHMNRgXPbiThf0H9m+bu4Q9VaL9gXii2709Dz7S78ejw3tTpK6d6z4pCJGC8oT8nUVrltaEIcCwUAPEjecU07vNWpuia+vl17ea8aK6e1jEjDMX5Iq3xmnxZDT8SKA0DRqdN1888Rm+k3/ZgIxXl59o5lyfDXZMKvF0HPPVz2XIwRwRTaWEWLh8OBDwaLVyJFNv157EYjNDTY5dllbsh99UOYfYtjAnF6zVp1wXJ+XuScqpk/Vl+ZZ68XLA19cYeGF1Oeo13YJsC2Lgsbfbp+KMJiXKPjqjKB0/5LAr3bBAkc3HEsv3RBXnqbY4t98KH9/3Bp8iXxNRJ2wYi+gbvh9r3lFLFtGj654sXtgTfbX24e6UNlWXRjD14W9X+BCvz66S80L8Iv7dpSM2wIZtyAGO+8Iy4KaZ/2FuqfdMtBeuK3BIsguGpsFDOECpSbVOifganfaj+Nd2LAQRQatCy8OjjPkYmkBN0WY99sli/BiL3x0wYe6ozYq+B1WUQ9KBjMIGipeavsxNzB3EajYvicnTRwQVPCM/tFPe83mmzUzrqDoxsO/4bI3JHHtCpt3KmYj6CNm2EgRSTHngoQXfbbZ6cSDXASSCC94Vl0vgt5X5Xnw3ttLmPMvgh+4uM9KzBO76D2/4ooVc9wxATnjQ++sgS+ca63ZDHC5+mpubg2o0i+K4W+60UiaJcnfRPvZZLs6JhXR7MW2qxh02/SKfOwYyiEotbi/3To39NmH7GGwFILlJUqa9kQMXz/vOMsQvI8Wvl+VGGDNdrgIL2GxOfA8wXpArRUQEBSBQVFUtAhrj2v8iKzCCyzhMBe3kPhLS8r7HptSlA+Jta0+O8K4xm2WcV6cwBQ1ZvpblGg2XMLLg49UPTf3yWu5b0DDLF6Csrj51xwflMyNiB/3ilhyY22C7J677wpX1oqXGOGNf1f64zS63PtRFjK28BL03sT6ABkV8W6CtWOUO5xtPR1lURk1l159reqtQc/7efN57vp8Cppb+mxKK0pone0ovPjjZGbpY9B4JH3WuNzbrsckDfxt10vhxZVy8HEUXrLxM6++KSvyFOXhRyTtnFiULC/WMGnL8zMrnjCCxSEKNoIf2a4e+NDG1/5lRZQ49cdNd48dt29InIyKeWFmU+SYIqbU+LofV7DwgdndxkjHuvgLni7oj5To8b+SrChwwbALUhLDBxRFF0V20DkEvMWGOGzB9NTTYsq4OEaIvRH+hcSd+bBshDaVzSgKFiSImTNLUjiOlj6tvQ7aWvFEgC9LMN0xGb44xnGJ+x3mwchEgxelFr81yqGfbZi1Jod/hXxH0nGjX7BO+un/Nr/42QXxazYR0e3sc5tptPVaWFTA7FZdthAo2I70b/tq42sMAuWq8IJI/xhzO7vQTrIxWE4C6d74h4rXFri6YGMK6xbMwXUmY6HdNNEPe1HFBRzWDQ8W4EjNbseTgc8uhCRdnP9aXGeefa7qpXBE7B7MrSDhRTfcaBcCAa+1VsO8925DFlhVceepmw/JXNJFp4oX/i9XcLf7lwRIg1UYCkSxa64VizKZ81o/ro101FOFDwL3PfO3YDcknB8W/Bi/2ZmEwsSuqHmHPmCx/5fFm2V7cXXtdZJpTCx9wCrsrtdFnW2tZV8PlkAIQLrzR4LnLCxEfnj6CHPI5/qkLwNXUeElbHMV1Cd/xhpsKP9wU9U8sVhkRXaxrT4cvGDHXDtPxEcsjFHWWVuCKUpGOF1M47kxalTdbLuVxLeSZ4SmBZ80cUB40QUSXMWOOarp2xZmqmsvaFwWau++i3lUGRSXw45/gmshu9tB+9fNWecMqFgqpKvwom0M2yQkEV60b5gDM2f2itWkCEABsZBg7g4xC+XYo+uepc3fxTUS/XlVYo4ccchATB7/uNoL7Tj3IH8weXtstF5d2CaZV0Fzzd6g2UG8XTZfdn32Rsx1Y4Pnz7FHS5aVlQbflTr/g/qNa9rPU332nSGunZhb3//O4PmK4+N4Rz1X/LyDRDD7/Esk+PxLYrKvlrhBwos/Zl2YZQruTb2P9Rr6jNbxjxNebIuDOtyMpSLb7UoF3ThBSa/v3+TbMV8miWsTNqYoQfXhI9IIuaUnLHbb1D5Eidp5pM22WX1M7mEEHN9GxGd7zsY9u+x7Mi7eSNx8QlB+rE0Rr+y4L7v7DocJL7Yor/PDL7zoGskOtIt2Yl37qU8iEcPAOsjl3ncVXvx1/VsEnrPP65HnvzEfE5fV03+KDyx1ib02+H2GbINPPNnjrYV07Rf1QTFMQNPn7oQJEJ2aI+P6fAoaxyKEl6xWQXlYvAStUbNkzNM22eOfNJA3+CN7Fiywt5b1Sliq9Lj7Db/b9y/imW0rrrRhHz/wnOyT7ypY66NQeHEhHH4MhZds/FILLxkvm/p0tQ7Al1gsdvDQdPlyHXVBLOgRrwOBL1HwhQcvPi2IbfPa7ObiUBcfb8jm9WcS5RtuH+suTqkdltIu7MsyFi2wFFDfSPVfh/CiAQSRcaAh/7eybyGbGqDDiein/4F4v3xtf0rcoQ4X01C76MtxOfnS8+2vSfBhmO44FGWM8z7/ubo5T2JdTPlozVs83SNuKKvIQg4Ci5b7JVbMG/9qeAvgXlkH2pH1/SaHGitAX8ia8hwiy/98u2lur2OCBTwWMJhHeKHgwYxAxHDtgUtMVOT930lEdcSwgAjidxNTtyJ1j/nLbVUv+w6KpgrXDdaLEmwQ7cFXfqS0xgLLb7p56+29nhXRn2Szjq9LutDA1673ZBO/9uTmIkfHY32xMoOJqYsJqC7cEEPo93+s9mdA0XsN9UKIQaA7f8G9gfYHlTBrmaBjMQ9sIe4Dq1XNwZ9b5AUQfles3M6RzFw7iNi63daD55ftrqP1rrdu0z0LfUdBDCcVOIKujYUtREFs8uwNo84RBKP+xMf6+i3xdAGSZIPs32zYcxRtirJy8G/aVdTDM3CppRrm2uubmzkIevjSiDmBMmniUOEFf/end0ZgWwS41WJfzyX+BUyNYXJ8+ME1LwA5ipo44z7ApgSbuROOqw0SXtQqzC+8IEj4LhIfC65o4yTWk5aLL4PV3VDrIMRt2U2sr7TACu4JCWILQQX39FNP95j7Hwycop7FIcYGrdYF5ek/6e23rNx+WwjhxkAY082lXVNczJ0gpvhb0Nyxv05mCc6o9wSugaLWatiIQni74KJeL9sfhNqoklZ4Cdrk6fy3hT/72v5rITC7BvvWTYx9DO5tzJGHHq6aLTavexawSYvt8nC4CGx2QareFcYhLg7ixfV6DHWeBgkvQVkaMYZvifXnA2Ld+SFp4yIR8y/51dBMfDjuKbEcvFoEcJQggcPeRNl8p/5BPohIgPVDPz/Q/ptk/XKPrF8Qw+qoLwS/j5Ex8dEnqhIzrmYee3wgQDragvl+3VQRc+XZi2d4kPDyoHBfUSyRZsrHM/yOuYV7/8z/a34Yi9p45iG82G5pE8WqGnXiXY21lArPcZvMPIUXW3hLcu/6hRe1FrHfD1of5iDmohZ9Z8DiFMFYURAcFlakiIu45YebLsYoLsIL1ndX/7ZZj3/u2BYv/roeebQq/MXaR543H9217iV7QFH3RHxkwActxKjxJ8v4hDxXtwz54KDPVv846rjZWQuDhJf/zKt4Fq9i4BxZ8hJe4qyC7EZAfICFsP1+s39PK7yM7Blp/jy9z3veIDyD/aED9WNdiBh3ePdi7QpuLgGub/wD1qVVL4wAxn+cfCB+RZJOjBvX8KyqXEVetEEtrff9VHgQdZdnuf+ZG7VWQcpxpJj/qqSYhzBJ4cWFcPgxFF6y8es44UW/XuPmR3T8PIQX1Al3IhVegNQ2iccCdm2xgrhfNs72zQ23FHw1x8MT6WzXWUeysVhigQ4NLDZ+JF8Bxos5++Fibh9WLhILmB0kRe6tt1W8BU8emRsyTo/Y0/Flu0febId9VhaUC8Xt7H034QUVY7H0zN8QFA6ZsuryApAMPTEeJAvkJQ63C7xQ7XLqGb1mGbGewtcmiER/+NOACSoW8b++qmrwdVuzO+lCCS+MtcVy5BpZLNgLpnny0kZQMgQeDQviCI1pnmR2wnv9TAnmvKoEen1VvuyjILbG3SIg4SsPFqH9cRcWBw2GRU7Q5ituUTr191XzpLxAVh7fdN3wl+tuaMY/2UDiC/3lth4vm0xYMEs9Fy/512dLOkpxIbtbFnEbiQkzLCfC4hMFTYp1xfXr788NXuGALb5OuWT12ncvEcREUbv2uua4rT6hYvb7dF9sXIl/SzDs83/R6wXJ1uJfGEIUQ4YE/5dmPf4kSaP+Kwl2+bIIS3YsC/sLo/2F3ebiusjWgJIqhPm/UkL8+PbXB/u7/3W6WH6JBcbo0YNTfcP6Bs8+bHYelsVQWKwpLMx3FEuoyTI2mIu6gYIFz2Sx9EHRTaVaKeCuQmwWLPxRbDEZiy58OfK7XqnIYj8b1TrFjmvkF16U/zJLI614TRZGzWfC0iImIfgzFs5fOrI5xzWNNv5dv2Rjw3mztBNZ2z5/UDPg96OyicQXWFit6LEQbV9ZfF/65y42a+CHDEdbbN4wn9yzZr5/ysDmRsWhsEWd/Z6Imgv+RWLQvW8Lna7zKuhe1I2EX/gEN1hfPivWPBiX7bapSYyaXondERy0HXMM44gS90UZzxy4k4J7kHuazncV+TB2CHK8g1i4otiiyggRUfbbt+65F6PohxW/JRaevbeKoL2rCDCwlowqQQHow4QXbYtarehxKsK7CC8aOFQ30Hrfa13YIFflxfKOiL2wyoI7rbozT5rYFEwRv0MFJdu6Suf///2sV4SdZjw9e76otRl4HP/lmmTBCXf9wkYZ95tmplPBBM84L76YfAzAcxDzFf+Oa88XIfw0ESdXkw8UcPnFfNtf0lCPkI9IGvhc2wM3LbgP2yXuHfebq3o8d5kD9gtfK/V/YLA+nEBERRtVeNF79lrZdKGdm2w0eI7Y8wmJECDgIYZhmmLXFWftACHiL7LG20yse9dbu8ebB/PeW2RultiDsMaG0PDSP6r97mjKEu92bJZ1ntjPpD/cJOLyYpFF248EBbBSRtF7ElnsqvJ4s0cE6yl87MLHIbsMtmwYCPZr398Yq+dfqHpu5Cj4cAVXNRSdp7b1ThDb44/tMysEWM7rGPufvWqRhY8yWLej+J9PyER5gWRIQ9BXbPDtgvcF3mFwg0XRezROqIubF7YwFvcxWD/aHS/r1WXko9OFIoZvv22fZ2H8goiZ4AorbViJrr9e9LMNx+L5gg939923hPnjzSJK71jzLK2DElOodRfu8VVWrkt8uHjXOPujANLOYwI9LnMR50L0Q6YtCGhbyz+If3nf/cZ8VtbAE+VZZhf06WKxIMQYxFmkxfH2v1OxTsd4o15/8btJUXiJoxv9O4WXbPw6Tni5U9KywhIBvvuIEwLLibgXXRwiBBlF1gY7w4D9oNEvC/iShIdgkLgSd40kmYdulbgbUOk7QXjRfo9dZonEwstUUdHx5ewk2XCOks1lloIFHixZRoxopjO+Y4ZEW5dFTJglgX8jnOXaOBfxYODCc8kvm4sXLJawoLlPLAG237buLV6xsPmCuLNhoXvaGSM8n+yPSVBUu+giIEq9x4IkbiOUpD9BwiPOx1dYbHhhPQJXIVjQIBUy4vQ8JK6GdsGL/577erwX+auLg/ginhHSTrsIL1ioYDNmx+Zxva/9L2B1GbHbd718wX3k0WAq2LRNl2xnKPaXG3vBqLzhW44x0j7BvPUfsnEP+7KsV1SxRutXAVmzWuHr3ZryxRgbrY9NqZkF4voGMRHX3WyTplVG/70mx2KRt64EO0Z6UVgERRXUvYE8tyAUo+gm8DUZp/N/MVAvLCCen1n14gZowSh7LhaSve6XvxaRVQ7fW8zYITCuI5sZFBVZEG9o373rkq1FvoLJRnL24oDSsOCbLwGmj/niYFcju81YzMMyBlYqdjryLUX4hFhq93/TjeR+my+xooQVvmJpCQo0jUXY9Dt7vA1qUIEVA+aPilK2e5x9fJBrC0QebIa0BC2235SvvHDHtV1TcXyQ8GKLOFFzH19K58wRq0BfmlFseJBedYKIlg8/MrS3eKbAog5zB/3BxwQ8g8OeJegb+hjWXvsKtkVG0ILaFhrRt3vuazI/TKykMO/98cLs2FVfOrLmzQGb4arS93HLN0S8GbDQC7sHELcN4hoC2ttFha5VxQro6MXud/jdbgvaiixu6J+KKUHCy6yXqt6zX901sbnZRDYBCJyOdqM/68jX5scel/tL+EPke/PNxRmnZKONtYUWtQpC+z4rGy+ICbbwgvt3hFjhTZe4eFrwvoE7NqwWkKp5tljoomDMEWMP70H7A4Ju/PA8UosRHI/+XiwfgOzsjli7wLJ3tnxE2GWnunz0qIgoVvE22RBjsZkaKS69GBNYP+I6YyXrn3yy8PoKa7GlJT5fpdqQDwJNoQb/RLlU4f74L1njhX300HvFi6Em7ZsllnDoK0RpfYfYYldQCnK/6w4+oOGaaYpd18by4WKCxHvS2D3++hAsHlYh6P/BB4i10e9FhHxa3J8lRoq+V9SaQ58TsEK6xMruiN8RzBTPdZTnXzDmV78Jzv6I3+EyiaQD58pHxt1EbHtNNr6IaQi37MvFvR5qDkR1u+ADDMQo3J+2NYd9f/tjiNjn63F+604/j7A4YjrGOo5wPVxG1k5bieu//T4Iej5hDT1drGww7yEOwJoM8Sgh8l8jMZbeERftb8iHJhR9NkGIwb0HQfhLYimmwoy2F/cB3mv42PrJjwVkF5UDLxC+iLkXJ7zoOxPjC4v2ubL20eew/azE/P/K0X1efEAtuOcWyrtytNxTKOCk7pLTp48wt05veGEgJk0S6xKJueUveO7jYxREK1gsV3uaHx+RaRXvK/zuL0Gx2fzHQKg+YD8kbRh4lh3w6bpZQdq+0op1M1WsCMFWE6W4CC+w3FpRnvNB+4MgK0PbxXPmi/IhV5Y8eCbos16vSeElzVNu4BwKL9n4dZzwYnf3DXHDeVVeHJtuHK/YJsWErySPL46/kOcmN2k7OuX4NMILXiDImIEvZ0WUG8QMe6RszpDxxV9cBI6kbYoyN9ZNgy7eYS2DTay/YCMN0WhPySARlEUEzH4tCyWYkiKYcx4Fiycs+oIsaLR+WAD9TDLCIJMULMOwCDlb3H/woj5RMp4gYDIWEFhgYwH3oATb3mQjsfR5DBuPqrdwCyqwcILr2HfEBcx+kX5uvx6z7gYxqcwWV4hN0cwXm9ZHcDPZbZehXMANlhA/W5y+2W4Lghq/887AAmVpWZz911cWecGAVayA7z781m+Rr5LY8KuFjVpEYKEFCwF8cfEXbHR/d0OvCDQDX+Z0IQBrmzsljhMEZRQVCnXzhwU2Fmc2Pw0Iq9dBQOYRI+qyuZPjQty+7Ixb+PcVxBx9KwnqiQ2YFtt02+4Dgp3vIYv8q2UTiQxd2FBgcajWQXYMHdSxx25Y6A4IWRBe8GUfqb+xQQoqEJwO/pxkixMrrTihLih7WNh9oNnj8Ds4LSkCErI/qaAAawPEn/Ev5P31wc0I2f0wN3bfDSJRpd8VRtsDdz9YLGKhhwXj/Q9UPasd3FdBwbj1CyvmDVKL/1HcCLUELdz/9qxYu4kL1dz/NMw/xOXyq/Kl2I6xps8YBKyf54ufhXqxMcUxeE6hzYsWNb9U65zDb3fIPIS/PMRi/6bKHwjTfoZhjmNTAhcWBP3EM31L2SDhy7K3YZENCfqIr9R7faLhBRmHyTks5XDPTJDMfmqpgLbaYwzR96tfabrA2OOEDRA4BG3gcU3ErsIGA2b9c8SV+LMH9HkbDBRsaOzNxLHHyEZrcRBf+zm+u8xl3PPKDwxVeIEwC3YY4zvvqnjCBwQtWBmgjiXFeuI9mfdBBc8o8IMAsb24M80Qiyu7bCd/g6gIV8JDxBUXMcjUbeBju4srrBWgHOdBMPnr7RXP5S8onhbiR8G6CHMDHwkwHnDlg6uzqTTdAZeSZ/c6ElcObplhmfIgtuDZp1YXYfed/Xe4NyyQRzme7wi8DNEN1/OLmVPFzXXmi1Xz1uJg6y7x1ZYRN1/0Q8fHFl503YZ57CK8oA61LvFngMNveAfivlotIIi236oD8xfPzW0kjgXi9tlFhSe07/ijJd7d2bLhnSNWpvIOxryxC0SPLSXI8d/FSg3PENwrcF/bTsQ3vyVE0EZU60Jb/iVCH2KijB0r94NcT2OFxY3hf30FFjgD9579UShqQw6Xp/+/vbuBuqSuDzs+u88uL0EN7KIxILruIgqCCvgWgshLMFRlWaEkW08MLyKFthxfyIkmpvaoRUNz8CSlqdQqwdgaNCmFJQpxk2ADamgaRAniCxIpSDEeOCgCwu6z29/33v0/O8/sfZm5c+/svc9855zEwz4zc2c+879z5/+b3//3n4/f3W7drMXZNPnPzGeaMP3xsyOAx29ssdj2Bz8Uma0RF+OFzl/vqDuU9pMCVF+L4XPcc9LvD39Pv5cEGRjen9puutbF7FO2of4Y9QHPisBweg4bNosO7ZfnHpZBgZdH4znljz+9vPNigoWMVr7ftIezIhv1kxFAy/8G8vLhjblATwqa8qLk+fFbRrHuFKy94caVUY+y297y9b36XeO0TvfFD8OOtnV+J3h5tjoCHlu3RoB15fbsgzGVfQoq99sXGTe8PMtnFrMNQVn+l3PML9QhOrow3JXrf1Dc11n4DeVFQr+XkP0muCBwxO8+37O/i+x3sgcvj5kfWdK+DLwM+9YP/ruBl3p+Mx14qXnqAzfnYYq34GTVUDTs9NNGexMyyWOcpn2PEnjZncfPAw7DL06IlExScsex9CtWyr7TQ9GgmjHjOIZR9sFsWgQvj3zp4EAOD0JkaDAtLUEjUmJ56O0VbCgeB9lHdGBInb36s/FwEr/EDHnhgYFADVlA+Qebj//Byoncm6gl9OCOabkHWfFAwEMHqd0sPEjzkFKcXSvt47ioP0PA7KgjyQjp3ivoBJGRty33KpEHnNM3bM2ujHol6e1MGiOf9sUbQLJovpSbjpm/cSQHx0MF4+9Thgb/Phecr4vi4kfGQ3mqi1GmHcxFOv/8gKnI8/vYIzLJ9ouaF7x5L6aSM6MdtYHSkgI47J8075vDpdih6JxPnFC+A8cDWnob1nlgC3OGFo5jOf7YLPvFY7d2ZizrVURy6CxluVm7/l0Ue6XmUOog0oFMs9RwrNSFoXNJx5qOITMebd++rJNdkl/oEDAtcsqoyP/tFdHZekMMe8pP/50fitRpk/HAfurr5ztZaHS2b4haO/nMHv49X1T8wAPodHfPP7/QDsmsuDKGP6aFTkmxU0WA47Q3do+JIQsfvHRFZyZDsvbw+GEM+8svPMgzXWyx8GynzcZH5cuBEUAiiNtv4e07neE7cxlOKTuJNHcyRJnVi32+MIb8poLsxf3htN++2+I7lC18t1mHdkEG15lnzC/KrCGrLA1bSwGePZfvlf2/h57Mfj9XKDp9Tpnhla+NmQ9PPCFmctyR+TGsfTMBAQGL6z/f/S4wtHc+d0+hk3rx27dGds3iDluv7K13RJ2lP/88w0OGferiv+PDLJHDFjJ7eM3xTwNm2kv7YLjVcfG9JFv1H2IIXHHGP4JaZB7MFRI5vvvdZdE53fWtBZ0q2jcBz873I9o190TuTysi6MqMbnTy6dYh2es7z3Dl50UHkjfzZDW8Ijq9dJRpw7dFUdg749/5TndefESAkppgzL71lb+diwzbXe9Vqc18PQICfxvHdWT8zjLTJcFWzu8337Es+/f/IYJHsQ++V+n+V3RO99RBzw8EOQhO8D3JvxwYds16/T1fiJzvBd+n/3vf8s61IhhEx5b6ShSIr7ukzjCdbiac6ASsXr09ht919002xwvju80sdSw8K/N+tUYAACAASURBVFCTLV3jVJPwXRdtiyxRhqpmnUB/WnrNuMjfUnAkZT/3Og8mOzjnrMjijKBs/j6GAYGD/MuxfL25fOCFezD3Yl4MPRgvij9/Y+8MTH7zsH48AhRY5BeGY5El85LDu9mTnTp/kdVCZhqB5eev6Q5PzAdeii8oyryw6GSrxfPwlrjO+z8r62QKMlMXvyt8HoGrcS1kFDGjLe2WZ5j0fXzr2ds6s+H+UQyF+sd7u8dDm9hjj+3xvesOs76V71K8CEv1hIrHxO9Xuh5kbdFWWVL2lIGXelfRwEs9v4l0bmoe0lRtzlhEIvfFYrNTdZBTcDCzFniZFNnVMfvTAdExZnau/JICL2WHz0zq+EbdLw9z74/aFwfHG+Niyn6ZfTILGmnw1OK4K/53e7xl5c16fsnXVvhPl+4xkXsTb90fizRjhgDwwDbsLU6ZcyuuQyeRB+kf/5iOcP9sroXiyvEmuDj9ea/jSg8NxYLC+TfHKfskbV8sfkw6fb9hN1XPlXsi6cr93n6nN5mkeTNsrbgcE2/1mV3shsLbe9bDhjfe+WAA//7M/cmeIQNg8AMgHUWGNqRhSxvPiAf4F3cDYvlslfwbbt7qcS68eaYDR3ZLr2BAsUN7UgRWGNfeb+kMl4j9FlsCgZOfCUPeYPdaUvFBZmW7/77FQw3S+ilYVXyopuN1bnQY/iSCnATKyDAYtDCjGhlZaTk0vpt35YIc6d/JhOGlBEM6Gc70rHh4PjGCR39+A9lmu54HvsNqPFRtdwRtOO8tcV68AU9LKjpNfapnRTCGWjZlF4JSj8c1PzWKDt8dHfuU6ZbfflU8BzBcgXosvRY+7bRT5yObanDW1sZIxydb8b77l0ftqbgX5hrGL/wC9TZ23fuwThPZP2TckFnCurwhJ/svTQWd9viiCCQReO5X76qf13nnzMex9j7v/D2GQAPfzW9+q5z8jq/GgO9OBCgiY2Jj1GJ6emQmXhIzBxH067UQLKBdFN+s59ellshDkVFDXSAyI27cPDgTg98oipeT8VG8J780Xsgd86r57DPxm/9wIZiZPpMgDd/jLRHE/3TUmcsvXKd3/utl2YcvK2fFWoNmAeLvXP/7IkDCcLO/vy2yiSM7hyzaKgsTHPxjDNPoFSxP+9k7MgefiinWU22XKvsvrkvwit9MnrUZzlxcVq9iWBszQe76Kef8enTQo2A1y9o1WQxtLn8kzGzKdSWwxvNNvyUFhhhKfkUMzU33HDK5TjyB4Nu2znePIBRBAZaUHZjqZJENQrCI4GK+Dk7+M9Ow417HkbJi+h0j7fr8c+ejVtnK7H/d0vtk/tX589l34t62eccskb1m+Rukx/f8ifgdoV0QuL5/x4xSLz6sm6GUn7kzv589o34dWc3z82HDb3Iu84XgC0Ha33hnlI6I4AjPNmQ8vT6GhxFoS4Xh0/4YQkU2Uv5FR69jZhgZ9cw+d+Pi9rQqsr3eHtnMB+5fs7ZB+Wa2JNc08FLzso46nXTNj3XzJSZg4GXwBSW9+97oYI9reNDuaD50sldG2mn+Lfw4j4MOCMEdpgT8txdPJvCSjjcVhE3//ewYpkMKPQ/lFJ5Nb4R52D59Q9RYuY43ieMdEseDzDlRY4SFt9A8BBIYyi8MxWKmC2osMBMNhZKLgZd8qjZvgki3Xh+ZEBSZPug52zpZAhRA5OGSB/dUMHXYtTv6yO5Y8OJMFMO2S3+nrsCaNVFsccv27AubV3SKk+eXdNzMdvGXfxWzDkRnIS10as6ILEPSwMk64i0nQZcz3hQzOcVbyOtiGCHBPIaAkWnB23Pe/DEkaGW83T4zOsif+u/LFzoPxx+7LDvxxJ0VmCk6yPCsX/sXOx9SCcjwgJ/aN2nTvHXN15zJHz+FYs+MMezrnh/ZIvE2kmEvZRYyNH7yk/5TtKd9PCvGxvMGlMK/LFWGd6TOAtvwxpWZmmjfvHklQLEuslHIDnluPMh+ekcR217Hfky8eabVM0vOsIXvCkMW8516goUPRIcqvSl97XFRTymGGJVZ2B+Ff78UmYn5fRKQK9YCKrO//DoEjrZEu+y1pPoyvYbeDQqAUNvo38RU2rTXb0Sgcc8YlpnvjHBfYXrmVFA4fXbKZGJmN4Zx0sH70/8Zhdl7ZOblM0/o+FGX4aYedRwI8NNRTQHddNwp0LEscF+wbj6CU4sz1Y6Ot8jU5Toovkd/E8OnWPj/748AGvdmvh/5oCfXiELIFNokMyi1OzpGDDFNQ/qqXp/i+i+LTvJD8dad4QcL94j4t5SRWHf/vYZl0KFkuFe/7x32e4ZHv+Lm+WPi5R2/LcXleVFE/N4IqvZaegWlhtUOye+H2e0Y7saQvn+I4WPcS7i3kXGzKgLbBIv4fWH4XbrH8xvBNWRY5bfjN+P2r5WX5Tfq3ihQz+8Vw9bytce472DFcxALQ+ge25G1Uv4Tdq75/DWxjwjEMQMetaiK2VJV95mvKVXcluF5Tz3V/35NIJ5MoHw2LMNtfzGC1BSeZdapQUuvoArPQFyHP+6R2VXcF1nDfNcJ7jB8iYyZ/MJ9Ym0MSWK4Yb5WD0HYb+4oQl/Gq3MvjyFIBJPIwOO+QxDpd96zOKuR8yFjkwxgFu5p3AsYbkam390REOf+88VcjSqO8cmY9Y0h42kpGxjiPk02Ds893SxZ6tRsizbd2/2IKA789rftmFe6zIm7zi4CBl5KNIrTzn5vdvf3uuHJg9ccmF131SULWxl4KQHoKkMFDLwMJXKFEgKkCK9cEYXhDviZiWS8pEP4ZrxZYxYWHuDo+FMcdy7exvDjzQPG+y9ZGfUQKAg7H2Owd87wRAfmzDN4IM8W0lf7vakiG4C6JqTQbjwzCmLGW6E/vaZb/JmlOIsCs5h8OYZkMX6dt4C8NWPcOGmyb4s3zmnscz6DgOO58PzFKc+9mO+Pzu9T8TaUh8j/+IdzGZ0K3vgeHg8hfx0zbBBTorNFHQPelhMsoeNPejRDWAjeUOAvPeASAPph1Myhw8I1w+qgyBp4bjyEEih4UQz3+OUY/pQWgiLUiDmI+if30tlYll0QxXaZ/pWFYWu8ZaXmEzOtMFUtx8dQo5tiyCdTzXcyR3ILgQM6M0wnzZh4XPMdk1TQmEyFd789Ho77vSof0C7piJCxU3zDht+6tQw56AbO6JzRjihUSZCAmjVMtVl8a8z6J53YfZDPTw1b4quxsAqFjp+KICjHxpAHgmqpIPKqeDv82hhSRR0brnV+oYOfajSlf/9ObEuAKi10zr6dm50sZVlRu4C2OGjhwZ8AJsOsei08jHNti8PhDg7HJ6Ptr40A1mEv6m5PwCIN0+A60+nnAZs3oQwpIuuEjs6wTJB0HPkZXtK/UUeFgvr/jZlZemTHMNPX5r9aFh4EMOn0d7fk2jL7DW9j6bAdF8EkOjHFml2bI5j4d3+fZUfFTCV8Z0+KwrQEnorLTX/Tne6eTMI0dOHrUcuHYS0EOVJdpOfEMZwS36nPxZAj0vPPO6c7LSyfQ42ZtLw6ausQsEpZlgQIuTZ40TZ5y3xuZArMRVFNZkRhvc6wnihiTGf4wSjMSzugfVGja25uWyfVn0DQ/dGZ/2J8H7nnEfBMwePbI/ByTdSL2hgBz8Piu5EWgma80f5qFGlmOAHHPWxJwSWOM9XBKG7DeZ8d53BdTGNMVgnnlmq9sC6dK4I0ZTJ7GCpLx4/ssLoL049/pVCvp8w+Cdrhy3lR7PmeuCZ0Jg+ODiT3NxauI/XU6mZffyMyThnKcellzGrD70f3HkbnGAMKKB8f7ZR7GgFuanTR1vlvJqFIxfOL53XWr813hsjw+8VsigzFom4T12D9G7Z1hnoxlOq/fHwu6mTFziLr9faYla9K5z99Zn7IVb7wdPo7AaUD4l60dm0UEI72tzw+i+8xmTW8TEiZKWl9hvfyneNcqTeVD0iWuX5pnXywdlBwt3Mf2TEDFAEW3O6O38C0pGHI+box+eNgkgZqgvH7QvFgXrKQyctvIPd+2soL1nVrOpGlnBb+ftWnogh4DFdkJjLqRnHMTJjAb/F34zeYe30KevA37nFkIhHwZvsbN89lF79jS/xudOt2Uafuibiu10fx3PhVijbbnQ3xtq/GNOdRLP/NG2Oq+fjdz9dNGja0t+jJ7y1tL2XrpL9Tz+VNkVHG8DIWAqWY8byR3wf3Q6ZKT8NbGcruMrqAgZchdue+69J4OP3xQrCFIMzqVc/IrvzIuztbGngZvfG55U4BAy+2hnEKMAZ30vemfgWOOQ/elvCgecgLuj2Fv4iUdDoRFPY7Pv6PDj9BGjok+8YMHl+PTtK6NRFYidkqeLvPuGJmnZiPFHOKgqbOCMMZCDq8MB4Y+k2dfmtMf0wR2CMO7342bwnJ8khLemihg8IDBWOdqyy8oSWowhvIdAycazGwkfbJQwyFxinyR9bTozGkZK8okrrX3tuiE9p9I8xDVa9i0f2Oq1fxyirnkF93Zwdze6fIaFpS4OWVL4/p3U+PANFPR6vTRQo8b4RJs+Z6U+viufFGslfmFx2UO+IBnredTLv7uRjPf1p0On7v91dkJ//S1piefufsMkx5/9DDkYkUgDzw8+aSIRDf+s7OOhX586RQJ8VD6UR/NQITBMHWv3FbZygBxZl5OD4qxsBviDosvZY0RTBvIPNLquWyOgJFF0WR2UeigCid1ttum8s2xEPtzuKSjK2PthCdbGaquSaywJYv79ZL4UGfIBBvOwmK0MEhY+hHj8Swu+jMMxMWHS8WhmU98EBMGR6BBNanc8kQuLQwZOkPo5D3KdGhoEPA8n/iIX6vaK8U7mWhw0GnnIwdZmoik4SAER0BggIUaaW4L8NU7v8+31M6JxEojM+hrtHt8d1lqmWu4f+IlPavhWd+SdNeky3E94XivJuu73bMTz1lLnvFK5+KKWAjsyz8SY0ftPD9IDi2LjqBo2QLsi33nzPetDNQmf++pgw4hhvhRV0SFtZhKA1nRpFgOszc1yg0m64pR06whYyyKssoswLSQWaWvLnINDso2gzH/bIYmrQ6is8SBNpv3wjORIeZey7uBKoptp3enHN8zJxER/r882K2s59fnK324ajvkbJT3ryx28n/UtRdeVkEvg4/lFlVlnUCNG/8Z9s705A/FgFjgqO/HgEDagR97BMxu2Vn9qxuEJeFAqsM3zktrvN1UaOJTI2Tju9+96/d0R7SEKRU4JR2yexBZEIQ4OA7w/6oecQb/W4QqzuxAMvJJ8a06sdu6QTQnhMZinSUb4rvCA5836kBRoHTn41OMPW9xrWQWTUX+yX7JS3MrsNQvfxCUJ5AL9+fVzO0KmoJMXzknggU8GLiaxFUYwtmB3wwzolAymvi/kdtHgIY3NsoSN5v+aPIFuQ3hcA115xz5TdvXdRRwZ77L+2CjDBmESR7iO9SfqFuSscp7hEMlSJo1asIctqG37Qb/mKucz0JOvKdSAvfkztj5qn9Yyae++K7/9WYiYxnBYIhLz8q7kUxhGtVtFnWSwGKVHeJYDHPA/kabKl9FIf5cj/nfsUkBC+NNvFnkblDZhKBxOPDMn2PL//PkdETLzlYllMgPn57f/M3tnYCWvweE6DMZ8G+IZ4JmPmpzEJW1DPjHsnveFoY8kPQBD9mzeK78ZcxS9RbYpg41yfvxG/culxgp/iZ/X7nKcJ+2R+siOu7uK0x9fzBETAiK5CZ2X4ugmfMTsQQVzKpuBfc/vUVnYDaySfyUmzXs/xK1MYj4MNC8fbXx28V9zu+l7dGGyawZOClTOvov46BlyF+r9lwUXbxBb+abTglqpjFcu2Nt2SXXfGZ7OZrL+/896Q7N/Uur1vPioCBl1m5UrNxnE0EXqpI8ABBqmxxJole+6CWzSHRmcw/pFT5rGHr/uAHy6OTQEes+1ax7QudrY/EQxwZKBvW7wwqpMDLm89clr08hk2NGngZh++gIB/7J9uJTIq0cI0J4vwgOmjMBHTXt+ItcWRnMK1yrwUD3pLTWem3MJMbb7WLgRf+/ZHIdNoQncu6b9P57FTsMh0Hs/yMq4D5OK5FcR/UwHk4pucm2Mlwmc+Hx+t/OQIYR+/sLOLLrFKro8D0Sw7ZK/unHz059qGHo54bNXeYvePoyKYiA62Jhfohmz63IupKbO0M7xtlodZUPuDWbx8ESyhkTXFbgiYEiXrdW6nVwb9Tw4Ypskddrru+O436cVEE+SUR/H7aPtviOxiByOjYM+sL9xnaA8U/yUaibsRJ0Qk8POr2pOA1hdXJPGJJs+ZQ3+xHP4qsi9gnEzeQGfgvz43ZnQ6J2ZIe3zkMctTjnvXt/uuVKyKIua1T1DgFgNJLhlSLa9A5EoTgXjnuhSDQT6JtkQXKECDu5QRcqAVFkd1vxD2V+zL11Xg5QZCTae7vvoeizjFLUATqCLITDHl2FKxl2vkTIquILKv8wveBITjF2SwJ8PAZtKefPtEd+skQ2/xCoHJTZCdFKCj75/FcML999PY/br9B+6MeEy+QHvzh8k5m8D5xD+bF1qCFFw0/H9kv/V70cL8g+J9m6+u1L4vr1rvKBl4G+N1x1z3Zxgs/kF390fdlRxwavxaxFP/t4UdLlKqvd43cugUCT9t7RfwwxRCFrbNxw2/BJZnpU1z19D0y700zfQl3+8FTXJW3zee8eVmntslPt/R/67rbD7aBA3js8ajlEJ2Flx3RwIct4Y/Y72krs0ce21Kp5s4S5mjtqVFLg4DQPvvs2lnOoxC0J9OFGj/5hezHVfvOdTIKHn+y3femfo2IabQ/ffWy7P2/43NlmS/az+6zMnvsia3Z1jHXoyvz2dO0zseupIYVdXJ6HxXPly6jCxh4qRl4GZ3eLRVQQAEFFFBAAQUUUEABBRRQYKkLGHipGXj56VNG2pf6l6SJ81sZ88Ux68t8yyPtTVi34TP22iOme/be1IZLPfFzXMFcljE2YOv8+NPQJ37wfsDUCey5cq6T2bm9yjRTU3cWHtA0CKyImh3MG7W1TNXhaThgj2GqBfZYuTymu47hSN6bBl4nni9dRhcw8DLEzhovozcutywvYI2X8lauOVxg2mq8DD9i15hWgWdE+vW2CLrszhov02rjcVUXePZ+01XjpfoZuMW0CDBEe3nU9bDGy7Rckdk+jmfuu2f2yKNbsi0G8gZeSGu81GvnBl6G+DmrUb0G5tblBAy8lHNyrXICBl7KObnWcAEDL8ONXKO8gIGX8lauOVjAwIstZJwCBl7KaRp4KefUby0DLyX8mEL67u99v7PmwWsOXJhamv92VqMSgK4yVMDAy1AiV6ggYOClAparDhQw8GIDGaeAgZdxarZ7XwZe2n39x332Bl7KiRp4Kedk4KWek1sroIACCiiggAIKKKCAAgoooIAClQXMeKlM5gYKKKCAAgoooIACCiiggAIKKKBAOQEDL+WcXEsBBRRQQAEFFFBAAQUUUEABBRSoLGDgpTKZGyiggAIKKKCAAgoooIACCiiggALlBAy8lHNyLQVKCTAL1q233bWwbrEYM38YVKw5bXj5J67JPnv9TdnN116+6HPL7L/UgbrS1AuUudZ12lIegPZ2xac2ZZe857xswynHTr2NB1hdoKn29OLjz144uAvesj676K2nVz9Yt5h6gSba02s2XJQ9/MijCxZ3fvGqqXfxAKsL1G1LdbevfsRuMc0CddvDsO2H/X2abTy23S9g4GX3XwOPYAkJ8KCYD5bw38e+8ojsw799fucsh01Pfu2Nt2Tv/d2Pd9Zdte/Tdwm8DNv/EqJs/akMu9Z121ICTkE+OjgGXpZus5t0e7rjrnuyjRd+IDPYsnTbUP7MJt2eCCqvXvWM7MqPvLvnb2c7lNtxlnXbUt3t26HcnrOs2x6GbT/s7+2R9kxHETDwMoqa2yhQUuC3PvSx7BvfvndhCnJu2Bdf8KsLWQUEWi674jO7BFj6ZbwUP7a4/5KH5WozKDCJtpRvZ2QqGHiZwYYx4iGPuz0RCPy5/fdbCDKPeFhuNqMC425P/Fb+yqknLGRMlf1NnFE+DzsnMGpbSruou70XY2kJ1G0Pw56zh/19aWl6NnUFDLzUFXR7BQYI8NbusEOe1+mMpDfCV3/0fdkRh67tbNXr3/j3sg+Z+f17IZa2wLjbUrGNGXhZ2u2neHbjbk+0H7L08kND8ve6dum272zH3Z7ozGz6wpez9a87pvP76W9de9rUqG0pCdXdvj3S7TjTuu1h2L1n2N/boexZlhUw8FJWyvUUqCiQHhzTuPRxB16K+694eK4+QwLjbku9AnsGXmaoQdQ81HG3p3Rvy2dMeX+qeZFmaPNxt6f8S4l8MM8aLzPUKEY81DptiY+su/2Ih+1mUypQtz0M+x0b9vcpZfGwdqOAgZfdiO9HL12BVKx0WHbLqBkvvfa/dDXbfWaTaEvF4nB5YWt0LO32Non21O8+ZjBvabclzm4S7Yn9FtuOHRzbUplMYYrEj/rctfSF23WG47g3FdtTXtDn8Ha1p3GdrYGXcUm6HwV2CAx6QBxHjRcfQNvT1CbdlvKSdpKXfruaZHvq1X5sU0u7TU2qPVXJDl3awu05u7ptqe727ZFux5nWbQ/DnrOH/b0dyp7lKAIGXkZRcxsF+ggw1pPluqsu6bnGsJlo0kb9arwM278XZukIDLvWddtSUcpO8tJpO73OZNLtifb4nXvuXygUzoPpLf/7jl0Khy9t5fac3aTbE/ejVx116MKsRranpdu26ralutsvXdl2nlnd9jBs+2F/b6e6Z11WwMBLWSnXU2CIQHpL12u1fO0Dbtp3f+/7ndUOXnPgoiBNfjrptJ9UXLDs/r1Qsy9Q9lqP2pZ6CRl4mf120+8MmmpP+SFs1Oa4+drLly5qi8+sqfbEPSkttqel2eDqtqW62y9N1faeVd32MGz7dc87INt44Qd6AjsrZHvbXZUzN/BSRct1FVBAAQUUUEABBRRQQAEFFFBAgQoCBl4qYLmqAgoooIACCiiggAIKKKCAAgooUEXAwEsVLddVQAEFFFBAAQUUUEABBRRQQAEFKggYeKmA5aoKKKCAAgoooIACCiiggAIKKKBAFQEDL1W0XFcBBRRQQAEFFFBAAQUUUEABBRSoIGDgpQKWqyqggAIKKKCAAgoooIACCiiggAJVBAy8VNFyXQUUUEABBRRQQAEFFFBAAQUUUKCCgIGXCliuqoACCiiggAIKKKCAAgoooIACClQRMPBSRct1FVBAAQUUUEABBRRQQAEFFFBAgQoCBl4qYLmqAgoooIACCiiggAIKKKCAAgooUEXAwEsVLddVQAEFFFBAAQUUUEABBRRQQAEFKggYeKmA5aoKKKCAAgoooIACCiiggAIKKKBAFQEDL1W0XFcBBRRQQAEFFFBAAQUUUEABBRSoIGDgpQKWqyqggAIKKKCAAgoooIACCiiggAJVBAy8VNFyXQUUUEABBRRQQAEFFFBAAQUUUKCCgIGXCliuqoACCiiggAIKKKCAAgoooIACClQRMPBSRct1FVBAAQUUUEABBRRQQAEFFFBAgQoCBl4qYLmqAgoooIACCiiggAIKKKCAAgooUEXAwEsVLddVQAEFFFBAAQUUUEABBRRQQAEFKggYeKmA1WvVBx56ouYe3FwBBRRQQAEFFFBAAQUUUECB6RU4YPXe03twM3BkBl5qXiQDLzUB3VwBBRRQQAEFFFBAAQUUUGCqBQy81Ls8Bl7q+WUGXmoCurkCCiiggAIKKKCAAgoooMBUCxh4qXd5DLzU8zPwUtPPzRVQQAEFFFBAAQUUUEABBaZbwMBLvetj4KWen4GXmn5uroACCiiggAIKKKCAAgooMN0CBl7qXR8DL/X8DLzU9HNzBRRQQAEFFFBAAQUUUECB6RYw8FLv+hh4qedn4KWmn5sroIACCiiggAIKKKCAAgpMt4CBl3rXx8DLCH4nn3zyLlt98upNI+zJTRRQQAEFFFBAAQUUUEABBRSYToGzNq7f5cA2b948nQc7xUdl4GWEi0PgJd/Y+G8DLyNAuokCCiiggAIKKKCAAgoooMDUChB4KfZ9DbxUv1wGXqqbZQZeRkBzEwUUUEABBRRQQAEFFFBAgZkSMPAynstl4GUERwMvI6C5iQIKKKCAAgoooIACCiigwEwJGHgZz+Uy8DKCo4GXEdDcRAEFFFBAAQUUUEABBRRQYKYEDLyM53IZeBnB0cDLCGhuooACCiiggAIKKKCAAgooMFMCBl7Gc7kMvIzgaOBlBDQ3UUABBRRQQAEFFFBAAQUUmCkBAy/juVwGXkZwNPAyApqbKKCAAgoooIACCiiggAIKzJSAgZfxXC4DLyM4GngZAc1NFFBAAQUUUEABBRRQQAEFZkrAwMt4LpeBlxEcDbyMgOYmCiiggAIKKKCAAgoooIACMyVg4GU8l8vAywiOBl5GQHMTBRRQQAEFFFBAAQUUUECBmRIw8DKey2XgZQRHAy8joLmJAgoooIACCiiggAIKKKDATAkYeBnP5TLwMoKjgZcR0NxEAQUUUEABBRRQQAEFFFBgpgQMvIznchl4GcHRwMsIaG6igAIKKKCAAgoooIACCigwUwIGXsZzuQy8jOBI4KW4fPLqTSPsyU0UUEABBRRQQAEFFFBAAQUUmE4BAi/FZfPmzdN5sFN8VAZeal6cBx56ouYe3FwBBRRQQAEFFFBAAQUUUECB6RU4YPXe03twM3BkBl5qXiQDLzUB3VwBBRRQQAEFFFBAAQUUUGCqBQy81Ls8Bl7q+WUGXmoCurkCCiiggAIKKKCAAgoooMBUCxh4qXd5DLzU8zPwUtPPzRVQQAEFFFBAAQUUUEABBaZbwMBLvetj4KWen4GXmn5uroACCiiggAIKKKCAAgooMN0CBl7qXR8DL/X83FoBBRRQQAEFFFBAAQUUUEABBRToK2DgxcahgAIKKKCAAgoooIACCiiggAIKTEjAwMuEbHqglgAACVJJREFUYN2tAgoooIACCiiggAIKKKCAAgooYODFNqCAAgoooIACCiiggAIKKKCAAgpMSMDAy4Rg3a0CCiiggAIKKKCAAgoooIACCihg4MU2oIACCiiggAIKKKCAAgoooIACCkxIwMDLhGDdrQIKKKCAAgoooIACCiiggAIKKGDgxTaggAIKKKCAAgoooIACCiiggAIKTEjAwMuEYN2tAgoooIACCiiggAIKKKCAAgooYODFNqCAAgoooIACCiiggAIKKKCAAgpMSMDAy4Rg3a0CCiiggAIKKKCAAgoooIACCihg4MU2oIACCiiggAIKKKCAAgoooIACCkxIwMDLhGDdrQIKKKCAAgoooIACCiiggAIKKGDgxTaggAIKKKCAAgoooIACCiiggAIKTEjAwMuEYN2tAgoooIACCiiggAIKKKCAAgooYODFNqCAAgoooIACCiiggAIKKKCAAgpMSMDAy4Rg3a0CCiiggAIKKKCAAgoooIACCihg4MU2oIACCiiggAIKKKCAAgoooIACCkxIwMDLhGDdrQIKKKCAAgoooIACCiiggAIKKGDgxTaggAIKKKCAAgoooIACCiiggAIKTEjAwMuEYN2tAgoooIACCiiggAIKKKCAAgooYODFNqCAAgoooIACjQuc+65Ls1tvu2uXz73gLeuzi956eqXjYV8PPfzj7LqrLqm0nSsroIACCiiggAJNCBh4aULZz1BAAQUUUECBRQK9giV33HVPtvHCD2Sr9n16dvO1l5cWM/BSmsoVFVBAAQUUUGA3CBh42Q3ofqQCCiiggAJtFxgULHnNhouyF6x9TnblR97dYeqVHXPnF6/q/O23PvSxbNMXvryI81VHHdp326s/+r7siEPXtp3f81dAAQUUUECBBgUMvDSI7UcpoIACCiigQFdgUOAlBVNScIV13/m2MxcCJqed/d7OPtLQon77Kv775Z+4JrviU5uytF+vhQIKKKCAAgoo0ISAgZcmlP0MBRRQQAEFFFgkMCjwcu2Nt2Tv/d2PZ/2yUwigfPb6mxaGIw0atlTcB9k0v3LqCZXryHj5FFBAAQUUUECBUQUMvIwq53YKKKCAAgooMLJA1cALAZOHH3l00eflM2KKxXVT8KbXAY5SwHfkE3VDBRRQQAEFFGi9gIGX1jcBARRQQAEFFGheoMpQoxcff3aWr9tSHDLUa18p8OKwouavrZ+ogAIKKKCAAosFDLzYIhRQQAEFFFCgcYFBgRcCLetfd0z24d8+P+sVQCkTeEkzJF3ynvOyDacc2/j5+YEKKKCAAgoooEASMPBiW1BAAQUUUECBxgXKTifdK4BCYIYlZbP0K5qbZkPKZ71QuPdVRx1mMKbxK+4HKqCAAgoo0F4BAy/tvfaeuQIKKKCAArtNoNcU0RxMr/orxSmjWac4OxEzHd39ve93zmfQdNL5gM1uO3k/WAEFFFBAAQVaJWDgpVWX25NVQAEFFFBAAQUUUEABBRRQQIEmBQy8NKntZymggAIKKKCAAgoooIACCiigQKsEDLy06nJ7sgoooIACCiiggAIKKKCAAgoo0KSAgZcmtf0sBRRQQAEFFFBAAQUUUEABBRRolYCBl1Zdbk9WAQUUUEABBRRQQAEFFFBAAQWaFDDw0qS2n6WAAgoooIACCiiggAIKKKCAAq0SMPDSqsvtySqggAIKKKCAAgoooIACCiigQJMCBl6a1PazFFBAAQUUUEABBRRQQAEFFFCgVQIGXlp1uT1ZBRRQQAEFFFBAAQUUUEABBRRoUsDAS5PafpYCCiiggAIKKKCAAgoooIACCrRKwMBLqy63J6uAAgoooIACCiiggAIKKKCAAk0KGHhpUtvPUkABBRRQQAEFFFBAAQUUUECBVgkYeGnV5fZkFVBAAQUUUEABBRRQQAEFFFCgSQEDL01q+1kKKKCAAgoooIACCiiggAIKKNAqAQMvrbrcnqwCCiiggAIKKKCAAgoooIACCjQpYOClSW0/SwEFFFBAAQUUUEABBRRQQAEFWiVg4KVVl9uTVUABBRRQQAEFFFBAAQUUUECBJgUMvDSp7WcpoIACCiiggAIKKKCAAgoooECrBAy8tOpye7IKKKCAAgoooIACCiiggAIKKNCkgIGXJrX9LAUUUEABBRRQQAEFFFBAAQUUaJWAgZdWXW5PVgEFFFBAAQUUUEABBRRQQAEFmhQw8NKktp+lgAIKKKCAAgoooIACCiiggAKtEjDw0qrL7ckqoIACCiiggAIKKKCAAgoooECTAgZemtT2sxRQQAEFFFBAAQUUUEABBRRQoFUCBl5adbk9WQUUUEABBRRQQAEFFFBAAQUUaFLAwEuT2n6WAgoooIACCiiggAIKKKCAAgq0SsDAS6sutyergAIKKKCAAgoooIACCiiggAJNChh4aVLbz1JAAQUUUEABBRRQQAEFFFBAgVYJGHhp1eX2ZBVQQAEFFFBAAQUUUEABBRRQoEkBAy9NavtZCiiggAIKKKCAAgoooIACCijQKgEDL6263J6sAgoooIACCiiggAIKKKCAAgo0KWDgpUltP0sBBRRQQAEFFFBAAQUUUEABBVolYOClVZfbk1VAAQUUUEABBRRQQAEFFFBAgSYFDLw0qe1nKaCAAgoooIACCiiggAIKKKBAqwQMvLTqcnuyCiiggAIKKKCAAgoooIACCijQpICBlya1/SwFFFBAAQUUUEABBRRQQAEFFGiVgIGXVl1uT1YBBRRQQAEFFFBAAQUUUEABBZoUMPDSpLafpYACCiiggAIKKKCAAgoooIACrRIw8NKqy+3JKqCAAgoooIACCiiggAIKKKBAkwIGXprU9rMUUEABBRRQQAEFFFBAAQUUUKBVAgZeWnW5PVkFFFBAAQUUUEABBRRQQAEFFGhSwMBLk9p+lgIKKKCAAgoooIACCiiggAIKtErAwEurLrcnq4ACCiiggAIKKKCAAgoooIACTQoYeGlS289SQAEFFFBAAQUUUEABBRRQQIFWCRh4adXl9mQVUEABBRRQQAEFFFBAAQUUUKBJAQMvTWr7WQoooIACCiiggAIKKKCAAgoo0CoBAy+tutyerAIKKKCAAgoooIACCiiggAIKNClg4KVJbT9LAQUUUEABBRRQQAEFFFBAAQVaJWDgpVWX25NVQAEFFFBAAQUUUEABBRRQQIEmBf4/dAqvHUgXc4gAAAAASUVORK5CYII=", "text/html": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Line chart for daily trading volume with range slider\n", "fig20 = px.line(google_training_complete, x='Date', y='Volume', title='Daily Trading Volume with Range Slider')\n", "fig20.update_xaxes(rangeslider_visible=True)\n", "fig20.show()" ] }, { "cell_type": "markdown", "id": "26e8b524", "metadata": { "papermill": { "duration": 0.039079, "end_time": "2023-07-30T10:01:09.233754", "exception": false, "start_time": "2023-07-30T10:01:09.194675", "status": "completed" }, "tags": [] }, "source": [ "## Data preprocessing" ] }, { "cell_type": "code", "execution_count": 24, "id": "23178e48", "metadata": { "papermill": { "duration": 0.050522, "end_time": "2023-07-30T10:01:09.323309", "exception": false, "start_time": "2023-07-30T10:01:09.272787", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "array([[15.684434],\n", " [15.615365],\n", " [15.221722],\n", " ...,\n", " [86.019997],\n", " [88.449997],\n", " [88.230003]])" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ "google_training_processed = google_training_complete.iloc[:, 4:5].values\n", "google_training_processed" ] }, { "cell_type": "code", "execution_count": 25, "id": "0e8891a3", "metadata": { "papermill": { "duration": 0.050208, "end_time": "2023-07-30T10:01:09.413570", "exception": false, "start_time": "2023-07-30T10:01:09.363362", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "scaler = MinMaxScaler(feature_range = (0, 1))\n", "\n", "google_training_scaled = scaler.fit_transform(google_training_processed)" ] }, { "cell_type": "code", "execution_count": 26, "id": "f082a45b", "metadata": { "papermill": { "duration": 0.048547, "end_time": "2023-07-30T10:01:09.499703", "exception": false, "start_time": "2023-07-30T10:01:09.451156", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[[0.03434761]\n", " [0.03385045]\n", " [0.03101697]\n", " ...\n", " [0.54062898]\n", " [0.55812033]\n", " [0.55653679]]\n", "(3272, 1)\n" ] } ], "source": [ "print(google_training_scaled)\n", "print(google_training_scaled.shape)" ] }, { "cell_type": "code", "execution_count": 47, "id": "6ab91c67", "metadata": { "papermill": { "duration": 0.054118, "end_time": "2023-07-30T10:01:09.593504", "exception": false, "start_time": "2023-07-30T10:01:09.539386", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "X_train = []\n", "y_train = []\n", "for i in range(60, google_training_scaled.shape[0]):\n", " X_train.append(google_training_scaled[i-60:i, 0])\n", " y_train.append(google_training_scaled[i, 0])" ] }, { "cell_type": "code", "execution_count": 48, "id": "b725d0f6", "metadata": { "papermill": { "duration": 0.049757, "end_time": "2023-07-30T10:01:09.682463", "exception": false, "start_time": "2023-07-30T10:01:09.632706", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "list" ] }, "execution_count": 48, "metadata": {}, "output_type": "execute_result" } ], "source": [ "type(X_train)" ] }, { "cell_type": "code", "execution_count": 49, "id": "63cccf98", "metadata": { "papermill": { "duration": 0.053603, "end_time": "2023-07-30T10:01:09.774377", "exception": false, "start_time": "2023-07-30T10:01:09.720774", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "X_train, y_train = np.array(X_train), np.array(y_train)" ] }, { "cell_type": "code", "execution_count": 50, "id": "30eb88bc", "metadata": { "papermill": { "duration": 0.050775, "end_time": "2023-07-30T10:01:09.864238", "exception": false, "start_time": "2023-07-30T10:01:09.813463", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(3212, 60, 1)\n" ] } ], "source": [ "X_train = np.reshape(X_train, (X_train.shape[0], X_train.shape[1], 1))\n", "print(X_train.shape)" ] }, { "cell_type": "markdown", "id": "c2581dcf", "metadata": { "papermill": { "duration": 0.037618, "end_time": "2023-07-30T10:01:09.939499", "exception": false, "start_time": "2023-07-30T10:01:09.901881", "status": "completed" }, "tags": [] }, "source": [ "## LSTM layers work on 3D data with the following structure (nb_sequence, nb_timestep, nb_feature).\n", "\n", " - nb_sequence : total number of sequences in dataset\n", " - nb_timestep : size of sequences\n", " - nb_feature : number of features describing timesteps \n" ] }, { "cell_type": "markdown", "id": "9319b412", "metadata": { "papermill": { "duration": 0.037469, "end_time": "2023-07-30T10:01:10.016823", "exception": false, "start_time": "2023-07-30T10:01:09.979354", "status": "completed" }, "tags": [] }, "source": [ "## RNN" ] }, { "cell_type": "markdown", "id": "0b3fd97b", "metadata": { "papermill": { "duration": 0.037884, "end_time": "2023-07-30T10:01:10.094743", "exception": false, "start_time": "2023-07-30T10:01:10.056859", "status": "completed" }, "tags": [] }, "source": [ "#### Build RNN Model\n", "##### Pretty generic/standard RNN" ] }, { "cell_type": "code", "execution_count": 51, "id": "2f84f926", "metadata": { "papermill": { "duration": 5.037557, "end_time": "2023-07-30T10:01:15.170647", "exception": false, "start_time": "2023-07-30T10:01:10.133090", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "RNN_model = Sequential()\n", "RNN_model.add(SimpleRNN(units=300, return_sequences=True, input_shape=(features_set.shape[1], 1)))\n", "RNN_model.add(Dropout(0.2))\n", "\n", "RNN_model.add(SimpleRNN(units=100, return_sequences=True))\n", "RNN_model.add(Dropout(0.2))\n", "\n", "RNN_model.add(SimpleRNN(units=100, return_sequences=True))\n", "RNN_model.add(Dropout(0.2))\n", "\n", "RNN_model.add(SimpleRNN(units=100))\n", "RNN_model.add(Dropout(0.2))\n", "\n", "RNN_model.add(Dense(units = 1))" ] }, { "cell_type": "markdown", "id": "2e5c5c54", "metadata": { "papermill": { "duration": 0.037668, "end_time": "2023-07-30T10:01:15.246674", "exception": false, "start_time": "2023-07-30T10:01:15.209006", "status": "completed" }, "tags": [] }, "source": [ "##### Compile RNN Model using Adam optimizer" ] }, { "cell_type": "code", "execution_count": 53, "id": "6b7e11d7", "metadata": { "papermill": { "duration": 0.083387, "end_time": "2023-07-30T10:01:15.469052", "exception": false, "start_time": "2023-07-30T10:01:15.385665", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Model: \"sequential_3\"\n", "_________________________________________________________________\n", " Layer (type) Output Shape Param # \n", "=================================================================\n", " simple_rnn_12 (SimpleRNN) (None, 60, 300) 90600 \n", " \n", " dropout_12 (Dropout) (None, 60, 300) 0 \n", " \n", " simple_rnn_13 (SimpleRNN) (None, 60, 100) 40100 \n", " \n", " dropout_13 (Dropout) (None, 60, 100) 0 \n", " \n", " simple_rnn_14 (SimpleRNN) (None, 60, 100) 20100 \n", " \n", " dropout_14 (Dropout) (None, 60, 100) 0 \n", " \n", " simple_rnn_15 (SimpleRNN) (None, 100) 20100 \n", " \n", " dropout_15 (Dropout) (None, 100) 0 \n", " \n", " dense_3 (Dense) (None, 1) 101 \n", " \n", "=================================================================\n", "Total params: 171001 (667.97 KB)\n", "Trainable params: 171001 (667.97 KB)\n", "Non-trainable params: 0 (0.00 Byte)\n", "_________________________________________________________________\n" ] } ], "source": [ "RNN_model.summary()" ] }, { "cell_type": "code", "execution_count": 66, "id": "9e901a65", "metadata": { "papermill": { "duration": 0.063504, "end_time": "2023-07-30T10:01:15.348098", "exception": false, "start_time": "2023-07-30T10:01:15.284594", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Epoch 1/200\n", "6/6 [==============================] - 6s 360ms/step - loss: 0.0470 - MAE: 0.1679 - MAPE: 34665.6445 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 2/200\n", "6/6 [==============================] - 2s 365ms/step - loss: 0.0453 - MAE: 0.1697 - MAPE: 45851.7969 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 3/200\n", "6/6 [==============================] - 2s 356ms/step - loss: 0.0349 - MAE: 0.1435 - MAPE: 22458.0391 - f1_score: 0.4376 - Accuracy: 3.1133e-04 - precision: 1.0000\n", "Epoch 4/200\n", "6/6 [==============================] - 2s 349ms/step - loss: 0.0208 - MAE: 0.1146 - MAPE: 30958.8789 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 5/200\n", "6/6 [==============================] - 2s 366ms/step - loss: 0.0276 - MAE: 0.1333 - MAPE: 16932.1641 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 6/200\n", "6/6 [==============================] - 2s 360ms/step - loss: 0.0141 - MAE: 0.0943 - MAPE: 14159.5840 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 7/200\n", "6/6 [==============================] - 2s 355ms/step - loss: 0.0122 - MAE: 0.0876 - MAPE: 1929.8502 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 8/200\n", "6/6 [==============================] - 2s 355ms/step - loss: 0.0094 - MAE: 0.0770 - MAPE: 23608.6875 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 9/200\n", "6/6 [==============================] - 2s 365ms/step - loss: 0.0085 - MAE: 0.0729 - MAPE: 2486.9617 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 10/200\n", "6/6 [==============================] - 2s 364ms/step - loss: 0.0077 - MAE: 0.0699 - MAPE: 12808.5645 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 11/200\n", "6/6 [==============================] - 2s 354ms/step - loss: 0.0095 - MAE: 0.0774 - MAPE: 374.5854 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 12/200\n", "6/6 [==============================] - 2s 356ms/step - loss: 0.0084 - MAE: 0.0716 - MAPE: 4428.9150 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 13/200\n", "6/6 [==============================] - 2s 362ms/step - loss: 0.0075 - MAE: 0.0684 - MAPE: 15339.8184 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 14/200\n", "6/6 [==============================] - 2s 374ms/step - loss: 0.0073 - MAE: 0.0681 - MAPE: 22680.6172 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 15/200\n", "6/6 [==============================] - 2s 348ms/step - loss: 0.0080 - MAE: 0.0710 - MAPE: 8063.8350 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 16/200\n", "6/6 [==============================] - 2s 348ms/step - loss: 0.0067 - MAE: 0.0652 - MAPE: 32189.7090 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 17/200\n", "6/6 [==============================] - 2s 369ms/step - loss: 0.0061 - MAE: 0.0615 - MAPE: 17116.7441 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 18/200\n", "6/6 [==============================] - 2s 356ms/step - loss: 0.0061 - MAE: 0.0614 - MAPE: 13209.2588 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 19/200\n", "6/6 [==============================] - 2s 347ms/step - loss: 0.0108 - MAE: 0.0849 - MAPE: 37726.6367 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 20/200\n", "6/6 [==============================] - 2s 348ms/step - loss: 0.0092 - MAE: 0.0763 - MAPE: 37541.8242 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 21/200\n", "6/6 [==============================] - 2s 352ms/step - loss: 0.0073 - MAE: 0.0674 - MAPE: 8676.9219 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 22/200\n", "6/6 [==============================] - 2s 363ms/step - loss: 0.0066 - MAE: 0.0641 - MAPE: 18020.9785 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 23/200\n", "6/6 [==============================] - 2s 350ms/step - loss: 0.0064 - MAE: 0.0627 - MAPE: 21786.7578 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 24/200\n", "6/6 [==============================] - 2s 351ms/step - loss: 0.0057 - MAE: 0.0592 - MAPE: 16166.2402 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 25/200\n", "6/6 [==============================] - 2s 366ms/step - loss: 0.0052 - MAE: 0.0569 - MAPE: 19620.1758 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 26/200\n", "6/6 [==============================] - 2s 372ms/step - loss: 0.0056 - MAE: 0.0600 - MAPE: 4229.5527 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 27/200\n", "6/6 [==============================] - 2s 354ms/step - loss: 0.0076 - MAE: 0.0695 - MAPE: 29286.2285 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 28/200\n", "6/6 [==============================] - 2s 351ms/step - loss: 0.0069 - MAE: 0.0667 - MAPE: 3832.9861 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 29/200\n", "6/6 [==============================] - 2s 367ms/step - loss: 0.0071 - MAE: 0.0649 - MAPE: 3955.5347 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 30/200\n", "6/6 [==============================] - 2s 355ms/step - loss: 0.0054 - MAE: 0.0575 - MAPE: 7445.3877 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 31/200\n", "6/6 [==============================] - 2s 385ms/step - loss: 0.0047 - MAE: 0.0532 - MAPE: 15847.2246 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 32/200\n", "6/6 [==============================] - 2s 390ms/step - loss: 0.0042 - MAE: 0.0517 - MAPE: 4900.8691 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 33/200\n", "6/6 [==============================] - 2s 354ms/step - loss: 0.0042 - MAE: 0.0506 - MAPE: 14455.2109 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 34/200\n", "6/6 [==============================] - 2s 356ms/step - loss: 0.0042 - MAE: 0.0507 - MAPE: 905.5336 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 35/200\n", "6/6 [==============================] - 2s 356ms/step - loss: 0.0052 - MAE: 0.0558 - MAPE: 6715.8965 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 36/200\n", "6/6 [==============================] - 2s 376ms/step - loss: 0.0041 - MAE: 0.0495 - MAPE: 40924.8633 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 37/200\n", "6/6 [==============================] - 2s 356ms/step - loss: 0.0044 - MAE: 0.0518 - MAPE: 4588.4268 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 38/200\n", "6/6 [==============================] - 2s 413ms/step - loss: 0.0040 - MAE: 0.0497 - MAPE: 50394.9727 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 39/200\n", "6/6 [==============================] - 2s 370ms/step - loss: 0.0041 - MAE: 0.0493 - MAPE: 1676.2240 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 40/200\n", "6/6 [==============================] - 2s 355ms/step - loss: 0.0050 - MAE: 0.0561 - MAPE: 28412.3711 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 41/200\n", "6/6 [==============================] - 2s 378ms/step - loss: 0.0053 - MAE: 0.0561 - MAPE: 22210.6152 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 42/200\n", "6/6 [==============================] - 2s 353ms/step - loss: 0.0043 - MAE: 0.0507 - MAPE: 26591.7754 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 43/200\n", "6/6 [==============================] - 2s 360ms/step - loss: 0.0042 - MAE: 0.0509 - MAPE: 18227.5840 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 44/200\n", "6/6 [==============================] - 2s 359ms/step - loss: 0.0047 - MAE: 0.0536 - MAPE: 2750.9104 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 45/200\n", "6/6 [==============================] - 2s 355ms/step - loss: 0.0047 - MAE: 0.0546 - MAPE: 23894.5820 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 46/200\n", "6/6 [==============================] - 2s 350ms/step - loss: 0.0040 - MAE: 0.0499 - MAPE: 40003.7461 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 47/200\n", "6/6 [==============================] - 2s 358ms/step - loss: 0.0040 - MAE: 0.0487 - MAPE: 14508.5820 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 48/200\n", "6/6 [==============================] - 2s 355ms/step - loss: 0.0042 - MAE: 0.0501 - MAPE: 14071.2656 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 49/200\n", "6/6 [==============================] - 2s 358ms/step - loss: 0.0047 - MAE: 0.0544 - MAPE: 21410.3828 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 50/200\n", "6/6 [==============================] - 2s 360ms/step - loss: 0.0035 - MAE: 0.0463 - MAPE: 45754.6641 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 51/200\n", "6/6 [==============================] - 2s 358ms/step - loss: 0.0045 - MAE: 0.0517 - MAPE: 18751.1797 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 52/200\n", "6/6 [==============================] - 2s 346ms/step - loss: 0.0040 - MAE: 0.0498 - MAPE: 15332.9541 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 53/200\n", "6/6 [==============================] - 2s 379ms/step - loss: 0.0040 - MAE: 0.0494 - MAPE: 984.3538 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 54/200\n", "6/6 [==============================] - 2s 348ms/step - loss: 0.0034 - MAE: 0.0454 - MAPE: 26293.2305 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 55/200\n", "6/6 [==============================] - 2s 355ms/step - loss: 0.0044 - MAE: 0.0516 - MAPE: 8264.2949 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 56/200\n", "6/6 [==============================] - 2s 346ms/step - loss: 0.0042 - MAE: 0.0507 - MAPE: 10199.1904 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 57/200\n", "6/6 [==============================] - 2s 360ms/step - loss: 0.0049 - MAE: 0.0537 - MAPE: 14904.8418 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 58/200\n", "6/6 [==============================] - 2s 370ms/step - loss: 0.0039 - MAE: 0.0480 - MAPE: 107.6110 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 59/200\n", "6/6 [==============================] - 2s 362ms/step - loss: 0.0040 - MAE: 0.0492 - MAPE: 13705.5615 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 60/200\n", "6/6 [==============================] - 2s 359ms/step - loss: 0.0043 - MAE: 0.0507 - MAPE: 13281.3926 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 61/200\n", "6/6 [==============================] - 2s 351ms/step - loss: 0.0045 - MAE: 0.0511 - MAPE: 2459.5901 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 62/200\n", "6/6 [==============================] - 2s 359ms/step - loss: 0.0039 - MAE: 0.0497 - MAPE: 6559.1133 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 63/200\n", "6/6 [==============================] - 2s 349ms/step - loss: 0.0043 - MAE: 0.0518 - MAPE: 16079.5391 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 64/200\n", "6/6 [==============================] - 2s 353ms/step - loss: 0.0048 - MAE: 0.0548 - MAPE: 19842.4688 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 65/200\n", "6/6 [==============================] - 2s 355ms/step - loss: 0.0034 - MAE: 0.0463 - MAPE: 22843.6289 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 66/200\n", "6/6 [==============================] - 2s 366ms/step - loss: 0.0035 - MAE: 0.0457 - MAPE: 16522.6680 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 67/200\n", "6/6 [==============================] - 2s 360ms/step - loss: 0.0035 - MAE: 0.0462 - MAPE: 21514.8066 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 68/200\n", "6/6 [==============================] - 2s 356ms/step - loss: 0.0031 - MAE: 0.0434 - MAPE: 24425.9121 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 69/200\n", "6/6 [==============================] - 2s 360ms/step - loss: 0.0030 - MAE: 0.0424 - MAPE: 6660.2129 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 70/200\n", "6/6 [==============================] - 2s 354ms/step - loss: 0.0030 - MAE: 0.0427 - MAPE: 20068.6504 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 71/200\n", "6/6 [==============================] - 2s 350ms/step - loss: 0.0034 - MAE: 0.0457 - MAPE: 2795.1675 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 72/200\n", "6/6 [==============================] - 2s 353ms/step - loss: 0.0035 - MAE: 0.0466 - MAPE: 18526.0801 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 73/200\n", "6/6 [==============================] - 2s 346ms/step - loss: 0.0032 - MAE: 0.0445 - MAPE: 2072.7393 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 74/200\n", "6/6 [==============================] - 2s 361ms/step - loss: 0.0033 - MAE: 0.0448 - MAPE: 29976.8203 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 75/200\n", "6/6 [==============================] - 2s 353ms/step - loss: 0.0033 - MAE: 0.0451 - MAPE: 2237.7971 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 76/200\n", "6/6 [==============================] - 2s 355ms/step - loss: 0.0029 - MAE: 0.0424 - MAPE: 30202.9395 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 77/200\n", "6/6 [==============================] - 2s 355ms/step - loss: 0.0027 - MAE: 0.0406 - MAPE: 9760.5537 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 78/200\n", "6/6 [==============================] - 2s 359ms/step - loss: 0.0033 - MAE: 0.0450 - MAPE: 33296.9102 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 79/200\n", "6/6 [==============================] - 2s 354ms/step - loss: 0.0035 - MAE: 0.0465 - MAPE: 270.2314 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 80/200\n", "6/6 [==============================] - 2s 351ms/step - loss: 0.0034 - MAE: 0.0444 - MAPE: 2800.8938 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 81/200\n", "6/6 [==============================] - 2s 367ms/step - loss: 0.0040 - MAE: 0.0484 - MAPE: 5511.1699 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 82/200\n", "6/6 [==============================] - 2s 355ms/step - loss: 0.0028 - MAE: 0.0412 - MAPE: 6877.3325 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 83/200\n", "6/6 [==============================] - 2s 353ms/step - loss: 0.0030 - MAE: 0.0433 - MAPE: 3570.9412 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 84/200\n", "6/6 [==============================] - 2s 358ms/step - loss: 0.0035 - MAE: 0.0464 - MAPE: 38165.5625 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 85/200\n", "6/6 [==============================] - 2s 356ms/step - loss: 0.0031 - MAE: 0.0440 - MAPE: 35574.5352 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 86/200\n", "6/6 [==============================] - 2s 369ms/step - loss: 0.0030 - MAE: 0.0431 - MAPE: 11698.0029 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 87/200\n", "6/6 [==============================] - 2s 367ms/step - loss: 0.0029 - MAE: 0.0418 - MAPE: 39207.3672 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 88/200\n", "6/6 [==============================] - 2s 361ms/step - loss: 0.0028 - MAE: 0.0414 - MAPE: 15013.0771 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 89/200\n", "6/6 [==============================] - 2s 354ms/step - loss: 0.0028 - MAE: 0.0409 - MAPE: 22587.0215 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 90/200\n", "6/6 [==============================] - 2s 346ms/step - loss: 0.0029 - MAE: 0.0415 - MAPE: 18637.6855 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 91/200\n", "6/6 [==============================] - 2s 363ms/step - loss: 0.0027 - MAE: 0.0401 - MAPE: 43856.3555 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 92/200\n", "6/6 [==============================] - 2s 353ms/step - loss: 0.0028 - MAE: 0.0411 - MAPE: 22366.0078 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 93/200\n", "6/6 [==============================] - 2s 349ms/step - loss: 0.0032 - MAE: 0.0438 - MAPE: 17855.4238 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 94/200\n", "6/6 [==============================] - 2s 350ms/step - loss: 0.0031 - MAE: 0.0435 - MAPE: 12141.1895 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 95/200\n", "6/6 [==============================] - 2s 349ms/step - loss: 0.0030 - MAE: 0.0430 - MAPE: 23761.3906 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 96/200\n", "6/6 [==============================] - 2s 353ms/step - loss: 0.0028 - MAE: 0.0410 - MAPE: 8291.6162 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 97/200\n", "6/6 [==============================] - 2s 356ms/step - loss: 0.0028 - MAE: 0.0409 - MAPE: 2062.0908 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 98/200\n", "6/6 [==============================] - 2s 350ms/step - loss: 0.0040 - MAE: 0.0479 - MAPE: 6379.7925 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 99/200\n", "6/6 [==============================] - 2s 350ms/step - loss: 0.0031 - MAE: 0.0443 - MAPE: 19472.6035 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 100/200\n", "6/6 [==============================] - 2s 355ms/step - loss: 0.0028 - MAE: 0.0412 - MAPE: 3781.8198 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 101/200\n", "6/6 [==============================] - 2s 386ms/step - loss: 0.0036 - MAE: 0.0461 - MAPE: 416.6832 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 102/200\n", "6/6 [==============================] - 2s 359ms/step - loss: 0.0028 - MAE: 0.0411 - MAPE: 7485.9961 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 103/200\n", "6/6 [==============================] - 2s 353ms/step - loss: 0.0027 - MAE: 0.0405 - MAPE: 4515.4707 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 104/200\n", "6/6 [==============================] - 2s 359ms/step - loss: 0.0026 - MAE: 0.0399 - MAPE: 9387.6025 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 105/200\n", "6/6 [==============================] - 2s 367ms/step - loss: 0.0025 - MAE: 0.0388 - MAPE: 29271.6094 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 106/200\n", "6/6 [==============================] - 2s 356ms/step - loss: 0.0027 - MAE: 0.0404 - MAPE: 5495.4824 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 107/200\n", "6/6 [==============================] - 2s 367ms/step - loss: 0.0025 - MAE: 0.0382 - MAPE: 24105.8457 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 108/200\n", "6/6 [==============================] - 2s 345ms/step - loss: 0.0029 - MAE: 0.0417 - MAPE: 2152.7141 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 109/200\n", "6/6 [==============================] - 3s 434ms/step - loss: 0.0030 - MAE: 0.0417 - MAPE: 776.0928 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 110/200\n", "6/6 [==============================] - 2s 370ms/step - loss: 0.0024 - MAE: 0.0378 - MAPE: 24772.6309 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 111/200\n", "6/6 [==============================] - 2s 360ms/step - loss: 0.0027 - MAE: 0.0402 - MAPE: 27523.1660 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 112/200\n", "6/6 [==============================] - 2s 368ms/step - loss: 0.0027 - MAE: 0.0405 - MAPE: 4202.6743 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 113/200\n", "6/6 [==============================] - 2s 350ms/step - loss: 0.0026 - MAE: 0.0393 - MAPE: 46809.0156 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 114/200\n", "6/6 [==============================] - 2s 374ms/step - loss: 0.0025 - MAE: 0.0395 - MAPE: 7685.2764 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 115/200\n", "6/6 [==============================] - 2s 371ms/step - loss: 0.0024 - MAE: 0.0384 - MAPE: 91.8202 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 116/200\n", "6/6 [==============================] - 2s 369ms/step - loss: 0.0023 - MAE: 0.0376 - MAPE: 4041.5872 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 117/200\n", "6/6 [==============================] - 2s 349ms/step - loss: 0.0024 - MAE: 0.0375 - MAPE: 5659.0024 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 118/200\n", "6/6 [==============================] - 2s 352ms/step - loss: 0.0023 - MAE: 0.0376 - MAPE: 7982.0195 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 119/200\n", "6/6 [==============================] - 2s 363ms/step - loss: 0.0024 - MAE: 0.0384 - MAPE: 27136.3496 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 120/200\n", "6/6 [==============================] - 2s 355ms/step - loss: 0.0025 - MAE: 0.0387 - MAPE: 41635.8555 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 121/200\n", "6/6 [==============================] - 2s 365ms/step - loss: 0.0024 - MAE: 0.0383 - MAPE: 5427.6929 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 122/200\n", "6/6 [==============================] - 2s 351ms/step - loss: 0.0030 - MAE: 0.0414 - MAPE: 26344.6523 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 123/200\n", "6/6 [==============================] - 2s 362ms/step - loss: 0.0025 - MAE: 0.0389 - MAPE: 14843.5957 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 124/200\n", "6/6 [==============================] - 2s 397ms/step - loss: 0.0032 - MAE: 0.0451 - MAPE: 4249.5977 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 125/200\n", "6/6 [==============================] - 2s 370ms/step - loss: 0.0033 - MAE: 0.0442 - MAPE: 14731.4326 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 126/200\n", "6/6 [==============================] - 2s 411ms/step - loss: 0.0031 - MAE: 0.0413 - MAPE: 5009.2012 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 127/200\n", "6/6 [==============================] - 2s 371ms/step - loss: 0.0028 - MAE: 0.0411 - MAPE: 18121.4629 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 128/200\n", "6/6 [==============================] - 2s 359ms/step - loss: 0.0026 - MAE: 0.0396 - MAPE: 27555.6094 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 129/200\n", "6/6 [==============================] - 2s 360ms/step - loss: 0.0023 - MAE: 0.0375 - MAPE: 5816.5649 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 130/200\n", "6/6 [==============================] - 2s 376ms/step - loss: 0.0022 - MAE: 0.0372 - MAPE: 251.5748 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 131/200\n", "6/6 [==============================] - 2s 371ms/step - loss: 0.0022 - MAE: 0.0364 - MAPE: 2654.7224 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 132/200\n", "6/6 [==============================] - 2s 353ms/step - loss: 0.0023 - MAE: 0.0379 - MAPE: 7520.6104 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 133/200\n", "6/6 [==============================] - 2s 362ms/step - loss: 0.0022 - MAE: 0.0363 - MAPE: 8246.1943 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 134/200\n", "6/6 [==============================] - 2s 367ms/step - loss: 0.0024 - MAE: 0.0378 - MAPE: 9180.4941 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 135/200\n", "6/6 [==============================] - 2s 373ms/step - loss: 0.0023 - MAE: 0.0373 - MAPE: 6203.1313 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 136/200\n", "6/6 [==============================] - 2s 357ms/step - loss: 0.0023 - MAE: 0.0370 - MAPE: 1235.2007 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 137/200\n", "6/6 [==============================] - 2s 349ms/step - loss: 0.0022 - MAE: 0.0370 - MAPE: 1517.6664 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 138/200\n", "6/6 [==============================] - 2s 349ms/step - loss: 0.0022 - MAE: 0.0363 - MAPE: 3822.4280 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 139/200\n", "6/6 [==============================] - 2s 360ms/step - loss: 0.0022 - MAE: 0.0364 - MAPE: 25093.9453 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 140/200\n", "6/6 [==============================] - 2s 401ms/step - loss: 0.0022 - MAE: 0.0367 - MAPE: 22615.8730 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 141/200\n", "6/6 [==============================] - 2s 381ms/step - loss: 0.0022 - MAE: 0.0365 - MAPE: 8926.5732 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 142/200\n", "6/6 [==============================] - 2s 357ms/step - loss: 0.0024 - MAE: 0.0385 - MAPE: 6988.0249 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 143/200\n", "6/6 [==============================] - 2s 355ms/step - loss: 0.0030 - MAE: 0.0430 - MAPE: 11990.0469 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 144/200\n", "6/6 [==============================] - 2s 373ms/step - loss: 0.0031 - MAE: 0.0435 - MAPE: 6071.7891 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 145/200\n", "6/6 [==============================] - 2s 353ms/step - loss: 0.0028 - MAE: 0.0399 - MAPE: 4435.3296 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 146/200\n", "6/6 [==============================] - 2s 358ms/step - loss: 0.0070 - MAE: 0.0620 - MAPE: 25925.8652 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 147/200\n", "6/6 [==============================] - 2s 362ms/step - loss: 0.0042 - MAE: 0.0500 - MAPE: 45791.1797 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 148/200\n", "6/6 [==============================] - 2s 359ms/step - loss: 0.0069 - MAE: 0.0695 - MAPE: 17033.1250 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 149/200\n", "6/6 [==============================] - 2s 356ms/step - loss: 0.0043 - MAE: 0.0525 - MAPE: 3669.8394 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 150/200\n", "6/6 [==============================] - 2s 354ms/step - loss: 0.0039 - MAE: 0.0503 - MAPE: 8311.1328 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 151/200\n", "6/6 [==============================] - 2s 357ms/step - loss: 0.0030 - MAE: 0.0435 - MAPE: 19482.1348 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 152/200\n", "6/6 [==============================] - 2s 369ms/step - loss: 0.0031 - MAE: 0.0445 - MAPE: 7466.7310 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 153/200\n", "6/6 [==============================] - 2s 352ms/step - loss: 0.0030 - MAE: 0.0436 - MAPE: 21220.3242 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 154/200\n", "6/6 [==============================] - 2s 362ms/step - loss: 0.0025 - MAE: 0.0396 - MAPE: 13104.8643 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 155/200\n", "6/6 [==============================] - 2s 387ms/step - loss: 0.0024 - MAE: 0.0388 - MAPE: 1847.1635 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 156/200\n", "6/6 [==============================] - 2s 370ms/step - loss: 0.0023 - MAE: 0.0374 - MAPE: 2249.0518 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 157/200\n", "6/6 [==============================] - 2s 353ms/step - loss: 0.0023 - MAE: 0.0380 - MAPE: 20992.8223 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 158/200\n", "6/6 [==============================] - 2s 352ms/step - loss: 0.0045 - MAE: 0.0533 - MAPE: 10206.7285 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 159/200\n", "6/6 [==============================] - 2s 359ms/step - loss: 0.0039 - MAE: 0.0477 - MAPE: 16951.2637 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 160/200\n", "6/6 [==============================] - 2s 350ms/step - loss: 0.0038 - MAE: 0.0470 - MAPE: 1336.5027 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 161/200\n", "6/6 [==============================] - 2s 363ms/step - loss: 0.0047 - MAE: 0.0547 - MAPE: 31755.0312 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 162/200\n", "6/6 [==============================] - 2s 365ms/step - loss: 0.0040 - MAE: 0.0496 - MAPE: 16545.1211 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 163/200\n", "6/6 [==============================] - 2s 375ms/step - loss: 0.0041 - MAE: 0.0495 - MAPE: 1979.2913 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 164/200\n", "6/6 [==============================] - 2s 366ms/step - loss: 0.0035 - MAE: 0.0453 - MAPE: 5976.0303 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 165/200\n", "6/6 [==============================] - 2s 382ms/step - loss: 0.0028 - MAE: 0.0414 - MAPE: 8878.8398 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 166/200\n", "6/6 [==============================] - 2s 356ms/step - loss: 0.0028 - MAE: 0.0413 - MAPE: 5263.0044 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 167/200\n", "6/6 [==============================] - 2s 364ms/step - loss: 0.0025 - MAE: 0.0386 - MAPE: 275.6794 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 168/200\n", "6/6 [==============================] - 2s 370ms/step - loss: 0.0026 - MAE: 0.0389 - MAPE: 12066.6797 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 169/200\n", "6/6 [==============================] - 2s 356ms/step - loss: 0.0029 - MAE: 0.0411 - MAPE: 5819.5903 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 170/200\n", "6/6 [==============================] - 2s 373ms/step - loss: 0.0027 - MAE: 0.0406 - MAPE: 7835.0835 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 171/200\n", "6/6 [==============================] - 2s 378ms/step - loss: 0.0026 - MAE: 0.0404 - MAPE: 3115.9006 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 172/200\n", "6/6 [==============================] - 2s 341ms/step - loss: 0.0024 - MAE: 0.0378 - MAPE: 17391.0430 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 173/200\n", "6/6 [==============================] - 2s 348ms/step - loss: 0.0024 - MAE: 0.0384 - MAPE: 5364.2559 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 174/200\n", "6/6 [==============================] - 2s 353ms/step - loss: 0.0026 - MAE: 0.0401 - MAPE: 19596.7070 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 175/200\n", "6/6 [==============================] - 2s 358ms/step - loss: 0.0024 - MAE: 0.0379 - MAPE: 13125.5215 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 176/200\n", "6/6 [==============================] - 2s 363ms/step - loss: 0.0024 - MAE: 0.0377 - MAPE: 1499.0759 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 177/200\n", "6/6 [==============================] - 3s 520ms/step - loss: 0.0023 - MAE: 0.0372 - MAPE: 1064.7485 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 178/200\n", "6/6 [==============================] - 3s 379ms/step - loss: 0.0022 - MAE: 0.0361 - MAPE: 11207.5977 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 179/200\n", "6/6 [==============================] - 2s 361ms/step - loss: 0.0024 - MAE: 0.0377 - MAPE: 6049.3574 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 180/200\n", "6/6 [==============================] - 2s 391ms/step - loss: 0.0022 - MAE: 0.0371 - MAPE: 16938.8086 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 181/200\n", "6/6 [==============================] - 2s 387ms/step - loss: 0.0024 - MAE: 0.0382 - MAPE: 18849.2930 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 182/200\n", "6/6 [==============================] - 2s 418ms/step - loss: 0.0029 - MAE: 0.0419 - MAPE: 10983.9473 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 183/200\n", "6/6 [==============================] - 2s 360ms/step - loss: 0.0031 - MAE: 0.0435 - MAPE: 13567.4297 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 184/200\n", "6/6 [==============================] - 2s 363ms/step - loss: 0.0023 - MAE: 0.0368 - MAPE: 1034.2555 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 185/200\n", "6/6 [==============================] - 2s 354ms/step - loss: 0.0025 - MAE: 0.0384 - MAPE: 23139.3633 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 186/200\n", "6/6 [==============================] - 2s 351ms/step - loss: 0.0020 - MAE: 0.0347 - MAPE: 1262.4810 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 187/200\n", "6/6 [==============================] - 2s 354ms/step - loss: 0.0020 - MAE: 0.0349 - MAPE: 10446.3057 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 188/200\n", "6/6 [==============================] - 2s 353ms/step - loss: 0.0022 - MAE: 0.0364 - MAPE: 1684.0332 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 189/200\n", "6/6 [==============================] - 2s 368ms/step - loss: 0.0021 - MAE: 0.0363 - MAPE: 8245.3203 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 190/200\n", "6/6 [==============================] - 2s 352ms/step - loss: 0.0021 - MAE: 0.0358 - MAPE: 4371.4194 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 191/200\n", "6/6 [==============================] - 2s 369ms/step - loss: 0.0022 - MAE: 0.0353 - MAPE: 223.7309 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 192/200\n", "6/6 [==============================] - 2s 358ms/step - loss: 0.0024 - MAE: 0.0374 - MAPE: 4914.2168 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 193/200\n", "6/6 [==============================] - 2s 376ms/step - loss: 0.0023 - MAE: 0.0367 - MAPE: 19955.9941 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 194/200\n", "6/6 [==============================] - 2s 360ms/step - loss: 0.0050 - MAE: 0.0548 - MAPE: 9206.4229 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 195/200\n", "6/6 [==============================] - 2s 381ms/step - loss: 0.0037 - MAE: 0.0476 - MAPE: 690.3354 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 196/200\n", "6/6 [==============================] - 3s 432ms/step - loss: 0.0035 - MAE: 0.0464 - MAPE: 10861.7197 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 197/200\n", "6/6 [==============================] - 2s 361ms/step - loss: 0.0028 - MAE: 0.0415 - MAPE: 2500.8582 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 198/200\n", "6/6 [==============================] - 2s 381ms/step - loss: 0.0031 - MAE: 0.0436 - MAPE: 16417.8750 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 199/200\n", "6/6 [==============================] - 2s 358ms/step - loss: 0.0026 - MAE: 0.0400 - MAPE: 1819.0098 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 200/200\n", "6/6 [==============================] - 2s 354ms/step - loss: 0.0024 - MAE: 0.0385 - MAPE: 1347.4576 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n" ] } ], "source": [ "# Compiling the RNN\n", "RNN_model.compile(optimizer = 'adam', loss = 'mean_squared_error', metrics = ['MAE', 'MAPE', 'F1Score', 'Accuracy', 'Precision'])\n", "# Fitting the RNN to the Training set\n", "RNN_History = RNN_model.fit(X_train, y_train, epochs = 200, batch_size = 640)" ] }, { "cell_type": "markdown", "id": "97d29917-16d3-466c-931f-55e38ba90fc7", "metadata": {}, "source": [ "#### Seems like we get a MAE of 0.09. Don't know why MAPE is all over the place. " ] }, { "cell_type": "markdown", "id": "a12869d2", "metadata": { "papermill": { "duration": 0.040743, "end_time": "2023-07-30T10:01:15.549619", "exception": false, "start_time": "2023-07-30T10:01:15.508876", "status": "completed" }, "tags": [] }, "source": [ "#### Fit RNN Model\n" ] }, { "cell_type": "markdown", "id": "fe14d882-caf3-4c7d-bc80-a56a4d29859b", "metadata": {}, "source": [ "#### The thing with RNNs are that they are limited by vanishing or exploding gradients. This is whey we can use LSTM and/or GRU" ] }, { "cell_type": "markdown", "id": "1327eb9c", "metadata": { "papermill": { "duration": 2.572188, "end_time": "2023-07-30T12:01:46.515655", "exception": false, "start_time": "2023-07-30T12:01:43.943467", "status": "completed" }, "tags": [] }, "source": [ "## LSTM\n", "\n", "##### This works by passing info to the input gate, the output coming from the output gate, and the forget gate that trashes info we don't need. " ] }, { "cell_type": "markdown", "id": "53e4f6ba", "metadata": { "papermill": { "duration": 2.444495, "end_time": "2023-07-30T12:01:51.464966", "exception": false, "start_time": "2023-07-30T12:01:49.020471", "status": "completed" }, "tags": [] }, "source": [ "#### Build LSTM Model" ] }, { "cell_type": "code", "execution_count": 56, "id": "a0c6b87e", "metadata": { "papermill": { "duration": 3.599704, "end_time": "2023-07-30T12:01:57.579422", "exception": false, "start_time": "2023-07-30T12:01:53.979718", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "LSTM_model = Sequential()\n", "LSTM_model.add(LSTM(units=300, return_sequences=True, input_shape=(features_set.shape[1], 1)))\n", "LSTM_model.add(Dropout(0.2))\n", "\n", "LSTM_model.add(LSTM(units=100, return_sequences=True))\n", "LSTM_model.add(Dropout(0.2))\n", "\n", "LSTM_model.add(LSTM(units=100, return_sequences=True))\n", "LSTM_model.add(Dropout(0.2))\n", "\n", "LSTM_model.add(LSTM(units=100))\n", "LSTM_model.add(Dropout(0.2))\n", "\n", "LSTM_model.add(Dense(units = 1))" ] }, { "cell_type": "code", "execution_count": 57, "id": "aabc2b85", "metadata": { "papermill": { "duration": 2.454646, "end_time": "2023-07-30T12:02:12.870639", "exception": false, "start_time": "2023-07-30T12:02:10.415993", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Model: \"sequential_4\"\n", "_________________________________________________________________\n", " Layer (type) Output Shape Param # \n", "=================================================================\n", " lstm (LSTM) (None, 60, 300) 362400 \n", " \n", " dropout_16 (Dropout) (None, 60, 300) 0 \n", " \n", " lstm_1 (LSTM) (None, 60, 100) 160400 \n", " \n", " dropout_17 (Dropout) (None, 60, 100) 0 \n", " \n", " lstm_2 (LSTM) (None, 60, 100) 80400 \n", " \n", " dropout_18 (Dropout) (None, 60, 100) 0 \n", " \n", " lstm_3 (LSTM) (None, 100) 80400 \n", " \n", " dropout_19 (Dropout) (None, 100) 0 \n", " \n", " dense_4 (Dense) (None, 1) 101 \n", " \n", "=================================================================\n", "Total params: 683701 (2.61 MB)\n", "Trainable params: 683701 (2.61 MB)\n", "Non-trainable params: 0 (0.00 Byte)\n", "_________________________________________________________________\n" ] } ], "source": [ "LSTM_model.summary()" ] }, { "cell_type": "markdown", "id": "854139f5", "metadata": { "papermill": { "duration": 2.433328, "end_time": "2023-07-30T12:02:02.614824", "exception": false, "start_time": "2023-07-30T12:02:00.181496", "status": "completed" }, "tags": [] }, "source": [ "#### Compile LSTM Model using Adam Optimizer" ] }, { "cell_type": "code", "execution_count": 58, "id": "10aeaa61", "metadata": { "papermill": { "duration": 2.599522, "end_time": "2023-07-30T12:02:07.850532", "exception": false, "start_time": "2023-07-30T12:02:05.251010", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "LSTM_model.compile(optimizer = 'adam', loss = 'mean_squared_error', metrics = ['MAE', 'MAPE', 'F1Score', 'Accuracy', 'Precision'])" ] }, { "cell_type": "markdown", "id": "0e72da32", "metadata": { "papermill": { "duration": 2.479626, "end_time": "2023-07-30T12:02:18.404173", "exception": false, "start_time": "2023-07-30T12:02:15.924547", "status": "completed" }, "tags": [] }, "source": [ "#### Fit LSTM Model" ] }, { "cell_type": "code", "execution_count": 59, "id": "57c14c25", "metadata": { "papermill": { "duration": 509.912005, "end_time": "2023-07-30T12:10:50.830263", "exception": false, "start_time": "2023-07-30T12:02:20.918258", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Epoch 1/200\n", "6/6 [==============================] - 7s 41ms/step - loss: 0.0867 - MAE: 0.2076 - MAPE: 10095.1367 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 2/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 0.0540 - MAE: 0.1596 - MAPE: 16152.6367 - f1_score: 0.4376 - Accuracy: 3.1133e-04 - precision: 0.0000e+00\n", "Epoch 3/200\n", "6/6 [==============================] - 0s 39ms/step - loss: 0.0189 - MAE: 0.1139 - MAPE: 48786.0312 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 4/200\n", "6/6 [==============================] - 0s 39ms/step - loss: 0.0089 - MAE: 0.0668 - MAPE: 22915.8906 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 5/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 0.0039 - MAE: 0.0397 - MAPE: 9428.9629 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 6/200\n", "6/6 [==============================] - 0s 39ms/step - loss: 0.0030 - MAE: 0.0381 - MAPE: 3659.3215 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 7/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 0.0030 - MAE: 0.0390 - MAPE: 2380.5793 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 8/200\n", "6/6 [==============================] - 0s 40ms/step - loss: 0.0023 - MAE: 0.0303 - MAPE: 6324.5840 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 9/200\n", "6/6 [==============================] - 0s 39ms/step - loss: 0.0022 - MAE: 0.0268 - MAPE: 3557.6655 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 10/200\n", "6/6 [==============================] - 0s 39ms/step - loss: 0.0016 - MAE: 0.0247 - MAPE: 4105.1680 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 11/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 0.0016 - MAE: 0.0249 - MAPE: 2091.3821 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 12/200\n", "6/6 [==============================] - 0s 39ms/step - loss: 0.0017 - MAE: 0.0247 - MAPE: 163.1446 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 13/200\n", "6/6 [==============================] - 0s 39ms/step - loss: 0.0019 - MAE: 0.0267 - MAPE: 3607.2119 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 14/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 0.0016 - MAE: 0.0249 - MAPE: 8090.6772 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 15/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 0.0019 - MAE: 0.0264 - MAPE: 4008.1765 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 16/200\n", "6/6 [==============================] - 0s 41ms/step - loss: 0.0020 - MAE: 0.0275 - MAPE: 85.4819 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 17/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 0.0018 - MAE: 0.0269 - MAPE: 6041.6577 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 18/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 0.0016 - MAE: 0.0238 - MAPE: 2586.8306 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 19/200\n", "6/6 [==============================] - 0s 39ms/step - loss: 0.0013 - MAE: 0.0225 - MAPE: 3722.1621 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 20/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 0.0014 - MAE: 0.0224 - MAPE: 4912.9385 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 21/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 0.0013 - MAE: 0.0217 - MAPE: 4805.6602 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 22/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 0.0013 - MAE: 0.0219 - MAPE: 1637.5371 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 23/200\n", "6/6 [==============================] - 0s 39ms/step - loss: 0.0013 - MAE: 0.0218 - MAPE: 5341.2231 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 24/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 0.0012 - MAE: 0.0216 - MAPE: 5495.4883 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 25/200\n", "6/6 [==============================] - 0s 39ms/step - loss: 0.0013 - MAE: 0.0220 - MAPE: 4864.3281 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 26/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 0.0012 - MAE: 0.0209 - MAPE: 5390.5596 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 27/200\n", "6/6 [==============================] - 0s 39ms/step - loss: 0.0012 - MAE: 0.0210 - MAPE: 5062.6060 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 28/200\n", "6/6 [==============================] - 0s 40ms/step - loss: 0.0012 - MAE: 0.0205 - MAPE: 5430.0830 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 29/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 0.0011 - MAE: 0.0209 - MAPE: 6807.1172 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 30/200\n", "6/6 [==============================] - 0s 40ms/step - loss: 0.0012 - MAE: 0.0209 - MAPE: 4940.2354 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 31/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 0.0013 - MAE: 0.0219 - MAPE: 6652.1577 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 32/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 0.0012 - MAE: 0.0210 - MAPE: 61.5209 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 33/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 0.0012 - MAE: 0.0213 - MAPE: 4900.0029 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 34/200\n", "6/6 [==============================] - 0s 39ms/step - loss: 0.0012 - MAE: 0.0208 - MAPE: 4871.5571 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 35/200\n", "6/6 [==============================] - 0s 39ms/step - loss: 0.0012 - MAE: 0.0207 - MAPE: 5978.1606 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 36/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 0.0010 - MAE: 0.0197 - MAPE: 3203.8962 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 37/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 0.0012 - MAE: 0.0207 - MAPE: 4837.1782 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 38/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 0.0011 - MAE: 0.0197 - MAPE: 2539.6870 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 39/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 0.0015 - MAE: 0.0232 - MAPE: 2253.7524 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 40/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 0.0014 - MAE: 0.0231 - MAPE: 7767.3105 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 41/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 0.0012 - MAE: 0.0209 - MAPE: 6212.0278 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 42/200\n", "6/6 [==============================] - 0s 39ms/step - loss: 0.0012 - MAE: 0.0209 - MAPE: 1497.1174 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 43/200\n", "6/6 [==============================] - 0s 40ms/step - loss: 0.0011 - MAE: 0.0201 - MAPE: 6126.6626 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 44/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 0.0011 - MAE: 0.0204 - MAPE: 6229.5977 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 45/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 0.0012 - MAE: 0.0213 - MAPE: 1976.7722 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 46/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 0.0011 - MAE: 0.0209 - MAPE: 5041.8188 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 47/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 0.0012 - MAE: 0.0209 - MAPE: 701.9355 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 48/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 0.0012 - MAE: 0.0210 - MAPE: 1825.7566 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 49/200\n", "6/6 [==============================] - 0s 40ms/step - loss: 0.0013 - MAE: 0.0216 - MAPE: 3769.0562 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 50/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 0.0012 - MAE: 0.0219 - MAPE: 923.1461 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 51/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 0.0011 - MAE: 0.0204 - MAPE: 5427.5674 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 52/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 0.0010 - MAE: 0.0197 - MAPE: 5282.3008 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 53/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 0.0011 - MAE: 0.0199 - MAPE: 3953.0986 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 54/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 0.0012 - MAE: 0.0203 - MAPE: 2343.1533 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 55/200\n", "6/6 [==============================] - 0s 60ms/step - loss: 0.0011 - MAE: 0.0206 - MAPE: 2597.8992 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 56/200\n", "6/6 [==============================] - 0s 48ms/step - loss: 0.0013 - MAE: 0.0215 - MAPE: 4493.4839 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 57/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 0.0011 - MAE: 0.0201 - MAPE: 2589.6489 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 58/200\n", "6/6 [==============================] - 0s 36ms/step - loss: 0.0010 - MAE: 0.0197 - MAPE: 4832.6577 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 59/200\n", "6/6 [==============================] - 0s 40ms/step - loss: 0.0011 - MAE: 0.0199 - MAPE: 4441.9497 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 60/200\n", "6/6 [==============================] - 0s 39ms/step - loss: 0.0011 - MAE: 0.0201 - MAPE: 2968.6094 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 61/200\n", "6/6 [==============================] - 0s 41ms/step - loss: 0.0012 - MAE: 0.0204 - MAPE: 2492.5974 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 62/200\n", "6/6 [==============================] - 0s 40ms/step - loss: 0.0010 - MAE: 0.0194 - MAPE: 1660.6082 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 63/200\n", "6/6 [==============================] - 0s 39ms/step - loss: 9.8934e-04 - MAE: 0.0192 - MAPE: 4890.2866 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 64/200\n", "6/6 [==============================] - 0s 40ms/step - loss: 0.0011 - MAE: 0.0200 - MAPE: 63.2859 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 65/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 0.0010 - MAE: 0.0194 - MAPE: 4916.3887 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 66/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 0.0012 - MAE: 0.0208 - MAPE: 4313.2866 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 67/200\n", "6/6 [==============================] - 0s 39ms/step - loss: 0.0010 - MAE: 0.0196 - MAPE: 3751.0901 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 68/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 0.0011 - MAE: 0.0199 - MAPE: 5368.3691 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 69/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 0.0011 - MAE: 0.0204 - MAPE: 2105.2786 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 70/200\n", "6/6 [==============================] - 0s 39ms/step - loss: 9.6978e-04 - MAE: 0.0192 - MAPE: 6508.0161 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 71/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 0.0015 - MAE: 0.0240 - MAPE: 2889.1401 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 72/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 0.0014 - MAE: 0.0226 - MAPE: 3465.6016 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 73/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 0.0015 - MAE: 0.0232 - MAPE: 3379.9045 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 74/200\n", "6/6 [==============================] - 0s 40ms/step - loss: 0.0012 - MAE: 0.0205 - MAPE: 2614.0823 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 75/200\n", "6/6 [==============================] - 0s 50ms/step - loss: 9.6950e-04 - MAE: 0.0189 - MAPE: 5975.8213 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 76/200\n", "6/6 [==============================] - 0s 42ms/step - loss: 9.8108e-04 - MAE: 0.0189 - MAPE: 1968.7216 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 77/200\n", "6/6 [==============================] - 0s 40ms/step - loss: 9.9354e-04 - MAE: 0.0195 - MAPE: 463.7607 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 78/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 0.0012 - MAE: 0.0209 - MAPE: 4750.7979 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 79/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 0.0012 - MAE: 0.0204 - MAPE: 1982.2397 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 80/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 9.4675e-04 - MAE: 0.0192 - MAPE: 4735.6821 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 81/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 0.0012 - MAE: 0.0204 - MAPE: 1293.3907 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 82/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 0.0011 - MAE: 0.0199 - MAPE: 954.0157 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 83/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 9.6781e-04 - MAE: 0.0193 - MAPE: 5054.5200 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 84/200\n", "6/6 [==============================] - 0s 39ms/step - loss: 0.0011 - MAE: 0.0207 - MAPE: 3812.1785 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 85/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 0.0010 - MAE: 0.0196 - MAPE: 2060.8857 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 86/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 0.0011 - MAE: 0.0194 - MAPE: 4462.6313 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 87/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 9.8494e-04 - MAE: 0.0192 - MAPE: 9198.7549 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 88/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 9.8756e-04 - MAE: 0.0193 - MAPE: 2768.4346 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 89/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 9.6744e-04 - MAE: 0.0189 - MAPE: 2721.3455 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 90/200\n", "6/6 [==============================] - 0s 36ms/step - loss: 9.5425e-04 - MAE: 0.0196 - MAPE: 817.0126 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 91/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 9.5588e-04 - MAE: 0.0188 - MAPE: 517.2844 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 92/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 9.5272e-04 - MAE: 0.0189 - MAPE: 1028.2313 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 93/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 9.5845e-04 - MAE: 0.0190 - MAPE: 47.5495 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 94/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 0.0017 - MAE: 0.0257 - MAPE: 3481.3135 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 95/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 0.0013 - MAE: 0.0232 - MAPE: 5777.4321 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 96/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 0.0011 - MAE: 0.0201 - MAPE: 1285.8923 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 97/200\n", "6/6 [==============================] - 0s 41ms/step - loss: 0.0011 - MAE: 0.0202 - MAPE: 2016.4852 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 98/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 0.0011 - MAE: 0.0204 - MAPE: 5752.2578 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 99/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 0.0011 - MAE: 0.0197 - MAPE: 325.6953 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 100/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 9.7380e-04 - MAE: 0.0191 - MAPE: 4917.5029 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 101/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 0.0014 - MAE: 0.0227 - MAPE: 3660.3403 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 102/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 0.0011 - MAE: 0.0200 - MAPE: 3090.5676 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 103/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 9.5398e-04 - MAE: 0.0187 - MAPE: 3836.9253 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 104/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 0.0010 - MAE: 0.0191 - MAPE: 2966.6067 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 105/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 0.0011 - MAE: 0.0200 - MAPE: 3397.6150 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 106/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 9.6700e-04 - MAE: 0.0189 - MAPE: 3726.1936 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 107/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 9.5150e-04 - MAE: 0.0186 - MAPE: 877.1010 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 108/200\n", "6/6 [==============================] - 0s 39ms/step - loss: 9.8270e-04 - MAE: 0.0193 - MAPE: 783.3370 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 109/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 0.0010 - MAE: 0.0199 - MAPE: 5827.5225 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 110/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 0.0011 - MAE: 0.0197 - MAPE: 1584.1986 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 111/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 0.0011 - MAE: 0.0196 - MAPE: 2797.4688 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 112/200\n", "6/6 [==============================] - 0s 39ms/step - loss: 0.0014 - MAE: 0.0226 - MAPE: 2340.7922 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 113/200\n", "6/6 [==============================] - 0s 39ms/step - loss: 0.0016 - MAE: 0.0249 - MAPE: 4119.8203 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 114/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 0.0010 - MAE: 0.0203 - MAPE: 1218.5309 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 115/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 0.0010 - MAE: 0.0191 - MAPE: 7041.8491 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 116/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 9.2809e-04 - MAE: 0.0186 - MAPE: 1904.6056 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 117/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 0.0010 - MAE: 0.0202 - MAPE: 5280.6240 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 118/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 9.5859e-04 - MAE: 0.0186 - MAPE: 491.9634 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 119/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 8.0834e-04 - MAE: 0.0173 - MAPE: 3212.0928 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 120/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 8.6738e-04 - MAE: 0.0179 - MAPE: 245.4634 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 121/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 8.9225e-04 - MAE: 0.0179 - MAPE: 1983.2170 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 122/200\n", "6/6 [==============================] - 0s 39ms/step - loss: 8.6599e-04 - MAE: 0.0185 - MAPE: 1007.9837 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 123/200\n", "6/6 [==============================] - 0s 40ms/step - loss: 0.0011 - MAE: 0.0208 - MAPE: 5557.0718 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 124/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 8.6013e-04 - MAE: 0.0185 - MAPE: 2880.4448 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 125/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 8.0012e-04 - MAE: 0.0173 - MAPE: 5518.3735 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 126/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 8.8179e-04 - MAE: 0.0177 - MAPE: 1784.5487 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 127/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 9.2242e-04 - MAE: 0.0184 - MAPE: 3962.7512 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 128/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 0.0011 - MAE: 0.0207 - MAPE: 3693.6699 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 129/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 0.0010 - MAE: 0.0201 - MAPE: 6704.6060 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 130/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 0.0011 - MAE: 0.0205 - MAPE: 1773.8242 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 131/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 0.0015 - MAE: 0.0233 - MAPE: 3853.5942 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 132/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 0.0016 - MAE: 0.0278 - MAPE: 1887.5865 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 133/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 0.0011 - MAE: 0.0219 - MAPE: 6183.1787 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 134/200\n", "6/6 [==============================] - 0s 39ms/step - loss: 0.0011 - MAE: 0.0209 - MAPE: 48.8577 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 135/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 0.0011 - MAE: 0.0211 - MAPE: 2983.3794 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 136/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 8.9494e-04 - MAE: 0.0188 - MAPE: 5246.8760 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 137/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 8.6244e-04 - MAE: 0.0180 - MAPE: 3020.9626 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 138/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 8.9431e-04 - MAE: 0.0186 - MAPE: 1229.3715 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 139/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 8.1995e-04 - MAE: 0.0183 - MAPE: 230.6032 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 140/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 9.2162e-04 - MAE: 0.0183 - MAPE: 5006.6987 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 141/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 0.0010 - MAE: 0.0193 - MAPE: 132.6137 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 142/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 9.1031e-04 - MAE: 0.0184 - MAPE: 2424.7290 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 143/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 0.0011 - MAE: 0.0205 - MAPE: 2858.3340 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 144/200\n", "6/6 [==============================] - 0s 39ms/step - loss: 9.8727e-04 - MAE: 0.0188 - MAPE: 3365.1785 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 145/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 9.1864e-04 - MAE: 0.0186 - MAPE: 2401.9607 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 146/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 8.3845e-04 - MAE: 0.0175 - MAPE: 8599.2080 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 147/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 8.6452e-04 - MAE: 0.0180 - MAPE: 2882.7532 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 148/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 0.0010 - MAE: 0.0191 - MAPE: 2820.4556 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 149/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 8.6740e-04 - MAE: 0.0179 - MAPE: 1023.7833 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 150/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 8.7193e-04 - MAE: 0.0177 - MAPE: 877.7140 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 151/200\n", "6/6 [==============================] - 0s 39ms/step - loss: 8.2773e-04 - MAE: 0.0174 - MAPE: 2653.6829 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 152/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 8.1717e-04 - MAE: 0.0174 - MAPE: 1428.2167 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 153/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 8.9639e-04 - MAE: 0.0187 - MAPE: 4572.9272 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 154/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 7.9461e-04 - MAE: 0.0178 - MAPE: 5106.5444 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 155/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 8.1740e-04 - MAE: 0.0184 - MAPE: 1071.5863 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 156/200\n", "6/6 [==============================] - 0s 39ms/step - loss: 7.9413e-04 - MAE: 0.0186 - MAPE: 4252.3125 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 157/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 8.5620e-04 - MAE: 0.0184 - MAPE: 2576.7703 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 158/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 8.0380e-04 - MAE: 0.0173 - MAPE: 3733.7837 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 159/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 8.4723e-04 - MAE: 0.0177 - MAPE: 1023.9481 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 160/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 9.1409e-04 - MAE: 0.0190 - MAPE: 2525.3816 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 161/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 7.5363e-04 - MAE: 0.0173 - MAPE: 1576.7024 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 162/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 7.8568e-04 - MAE: 0.0180 - MAPE: 3474.7568 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 163/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 8.3247e-04 - MAE: 0.0177 - MAPE: 2856.5544 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 164/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 8.9754e-04 - MAE: 0.0184 - MAPE: 1865.2383 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 165/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 9.2677e-04 - MAE: 0.0188 - MAPE: 3359.3464 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 166/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 8.2711e-04 - MAE: 0.0178 - MAPE: 5258.6909 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 167/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 7.6113e-04 - MAE: 0.0169 - MAPE: 7204.0708 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 168/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 7.5891e-04 - MAE: 0.0167 - MAPE: 6330.9097 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 169/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 9.2107e-04 - MAE: 0.0182 - MAPE: 3796.4421 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 170/200\n", "6/6 [==============================] - 0s 39ms/step - loss: 8.3887e-04 - MAE: 0.0183 - MAPE: 1292.4973 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 171/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 7.8280e-04 - MAE: 0.0176 - MAPE: 3316.2532 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 172/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 7.6619e-04 - MAE: 0.0169 - MAPE: 1133.3474 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 173/200\n", "6/6 [==============================] - 0s 40ms/step - loss: 8.3276e-04 - MAE: 0.0173 - MAPE: 3639.8511 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 174/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 7.3815e-04 - MAE: 0.0167 - MAPE: 2199.4829 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 175/200\n", "6/6 [==============================] - 0s 40ms/step - loss: 9.1265e-04 - MAE: 0.0185 - MAPE: 266.9843 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 176/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 0.0017 - MAE: 0.0250 - MAPE: 1066.3867 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 177/200\n", "6/6 [==============================] - 0s 40ms/step - loss: 0.0012 - MAE: 0.0221 - MAPE: 1066.3877 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 178/200\n", "6/6 [==============================] - 0s 42ms/step - loss: 9.5631e-04 - MAE: 0.0203 - MAPE: 1225.5463 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 179/200\n", "6/6 [==============================] - 0s 40ms/step - loss: 0.0011 - MAE: 0.0204 - MAPE: 8483.7998 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 180/200\n", "6/6 [==============================] - 0s 41ms/step - loss: 9.2278e-04 - MAE: 0.0198 - MAPE: 1250.0765 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 181/200\n", "6/6 [==============================] - 0s 39ms/step - loss: 8.0489e-04 - MAE: 0.0177 - MAPE: 7725.0996 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 182/200\n", "6/6 [==============================] - 0s 40ms/step - loss: 8.3717e-04 - MAE: 0.0179 - MAPE: 5270.9517 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 183/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 7.4017e-04 - MAE: 0.0167 - MAPE: 2469.0720 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 184/200\n", "6/6 [==============================] - 0s 40ms/step - loss: 6.9623e-04 - MAE: 0.0163 - MAPE: 3000.8743 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 185/200\n", "6/6 [==============================] - 0s 40ms/step - loss: 7.3121e-04 - MAE: 0.0168 - MAPE: 2214.5830 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 186/200\n", "6/6 [==============================] - 0s 39ms/step - loss: 7.9472e-04 - MAE: 0.0170 - MAPE: 2955.8074 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 187/200\n", "6/6 [==============================] - 0s 40ms/step - loss: 7.6226e-04 - MAE: 0.0170 - MAPE: 6020.6431 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 188/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 8.2732e-04 - MAE: 0.0175 - MAPE: 2374.7051 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 189/200\n", "6/6 [==============================] - 0s 39ms/step - loss: 8.0163e-04 - MAE: 0.0173 - MAPE: 1088.9432 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 190/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 7.4861e-04 - MAE: 0.0167 - MAPE: 5081.1465 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 191/200\n", "6/6 [==============================] - 0s 60ms/step - loss: 7.3903e-04 - MAE: 0.0168 - MAPE: 4080.7527 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 192/200\n", "6/6 [==============================] - 0s 60ms/step - loss: 7.7706e-04 - MAE: 0.0174 - MAPE: 5579.6807 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 193/200\n", "6/6 [==============================] - 0s 54ms/step - loss: 7.2327e-04 - MAE: 0.0170 - MAPE: 7961.8931 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 194/200\n", "6/6 [==============================] - 0s 49ms/step - loss: 9.2637e-04 - MAE: 0.0193 - MAPE: 2138.3674 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 195/200\n", "6/6 [==============================] - 0s 59ms/step - loss: 8.9312e-04 - MAE: 0.0191 - MAPE: 4415.5425 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 196/200\n", "6/6 [==============================] - 0s 39ms/step - loss: 8.4071e-04 - MAE: 0.0184 - MAPE: 1568.6184 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 197/200\n", "6/6 [==============================] - 0s 44ms/step - loss: 7.9499e-04 - MAE: 0.0178 - MAPE: 2082.4395 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 198/200\n", "6/6 [==============================] - 0s 40ms/step - loss: 7.5189e-04 - MAE: 0.0177 - MAPE: 6481.0195 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 199/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 9.4304e-04 - MAE: 0.0187 - MAPE: 1355.9016 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 200/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 0.0010 - MAE: 0.0198 - MAPE: 2984.0625 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n" ] } ], "source": [ "LSTM_History = LSTM_model.fit(features_set, labels, epochs = 200, batch_size = 640)" ] }, { "cell_type": "markdown", "id": "576a501a-1232-48bf-b63a-fbb67f989283", "metadata": {}, "source": [ "#### LSTM was fast. MAE of 0.0198. " ] }, { "attachments": {}, "cell_type": "markdown", "id": "475479a9", "metadata": { "papermill": { "duration": 3.303451, "end_time": "2023-07-30T12:10:57.373806", "exception": false, "start_time": "2023-07-30T12:10:54.070355", "status": "completed" }, "tags": [] }, "source": [ "## GRU\n", "\n", "##### Simplified version of LSTM: reset gate and update gate. The reset gate decides how much of the previous hidden state to keep, and the update gate decides how much new input to incorporate into the hidden state. It requires fewer parameters. " ] }, { "cell_type": "markdown", "id": "08cddd16", "metadata": { "papermill": { "duration": 3.274281, "end_time": "2023-07-30T12:11:03.881795", "exception": false, "start_time": "2023-07-30T12:11:00.607514", "status": "completed" }, "tags": [] }, "source": [ "#### Build GRU Model" ] }, { "cell_type": "code", "execution_count": 60, "id": "0bd14de8", "metadata": { "papermill": { "duration": 4.198137, "end_time": "2023-07-30T12:11:11.420902", "exception": false, "start_time": "2023-07-30T12:11:07.222765", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "GRU_model = Sequential()\n", "GRU_model.add(GRU(units=300, return_sequences=True, input_shape=(features_set.shape[1], 1)))\n", "GRU_model.add(Dropout(0.2))\n", "\n", "GRU_model.add(GRU(units=100, return_sequences=True))\n", "GRU_model.add(Dropout(0.2))\n", "\n", "GRU_model.add(GRU(units=100, return_sequences=True))\n", "GRU_model.add(Dropout(0.2))\n", "\n", "GRU_model.add(GRU(units=100))\n", "GRU_model.add(Dropout(0.2))\n", "\n", "GRU_model.add(Dense(units = 1))" ] }, { "cell_type": "code", "execution_count": 61, "id": "e4c0d44c", "metadata": { "papermill": { "duration": 3.245537, "end_time": "2023-07-30T12:11:31.455111", "exception": false, "start_time": "2023-07-30T12:11:28.209574", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Model: \"sequential_5\"\n", "_________________________________________________________________\n", " Layer (type) Output Shape Param # \n", "=================================================================\n", " gru (GRU) (None, 60, 300) 272700 \n", " \n", " dropout_20 (Dropout) (None, 60, 300) 0 \n", " \n", " gru_1 (GRU) (None, 60, 100) 120600 \n", " \n", " dropout_21 (Dropout) (None, 60, 100) 0 \n", " \n", " gru_2 (GRU) (None, 60, 100) 60600 \n", " \n", " dropout_22 (Dropout) (None, 60, 100) 0 \n", " \n", " gru_3 (GRU) (None, 100) 60600 \n", " \n", " dropout_23 (Dropout) (None, 100) 0 \n", " \n", " dense_5 (Dense) (None, 1) 101 \n", " \n", "=================================================================\n", "Total params: 514601 (1.96 MB)\n", "Trainable params: 514601 (1.96 MB)\n", "Non-trainable params: 0 (0.00 Byte)\n", "_________________________________________________________________\n" ] } ], "source": [ "GRU_model.summary()" ] }, { "cell_type": "markdown", "id": "a4ec0e8e", "metadata": { "papermill": { "duration": 3.671627, "end_time": "2023-07-30T12:11:18.345859", "exception": false, "start_time": "2023-07-30T12:11:14.674232", "status": "completed" }, "tags": [] }, "source": [ "#### Compile GRU Model" ] }, { "cell_type": "code", "execution_count": 63, "id": "513d7444", "metadata": { "papermill": { "duration": 3.25448, "end_time": "2023-07-30T12:11:24.935462", "exception": false, "start_time": "2023-07-30T12:11:21.680982", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "GRU_model.compile(optimizer = 'adam', loss = 'mean_squared_error', metrics = ['MAE', 'MAPE', 'F1Score', 'Accuracy', 'Precision'])" ] }, { "cell_type": "markdown", "id": "dda6caba", "metadata": { "papermill": { "duration": 3.324155, "end_time": "2023-07-30T12:11:38.001572", "exception": false, "start_time": "2023-07-30T12:11:34.677417", "status": "completed" }, "tags": [] }, "source": [ "#### Fit GRU Model" ] }, { "cell_type": "code", "execution_count": 64, "id": "e52eaf53", "metadata": { "papermill": { "duration": 511.543208, "end_time": "2023-07-30T12:20:12.771528", "exception": false, "start_time": "2023-07-30T12:11:41.228320", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Epoch 1/200\n", "6/6 [==============================] - 6s 79ms/step - loss: 0.0598 - MAE: 0.1799 - MAPE: 42537.5625 - f1_score: 0.4376 - Accuracy: 3.1133e-04 - precision: 1.0000\n", "Epoch 2/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 0.0157 - MAE: 0.0818 - MAPE: 24464.4004 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 3/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 0.0041 - MAE: 0.0472 - MAPE: 14219.3887 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 4/200\n", "6/6 [==============================] - 0s 36ms/step - loss: 0.0039 - MAE: 0.0494 - MAPE: 6708.4600 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 5/200\n", "6/6 [==============================] - 0s 36ms/step - loss: 0.0032 - MAE: 0.0344 - MAPE: 5434.9390 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 6/200\n", "6/6 [==============================] - 0s 36ms/step - loss: 0.0029 - MAE: 0.0323 - MAPE: 3615.2881 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 7/200\n", "6/6 [==============================] - 0s 36ms/step - loss: 0.0023 - MAE: 0.0324 - MAPE: 10065.0117 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 8/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 0.0023 - MAE: 0.0324 - MAPE: 1498.1990 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 9/200\n", "6/6 [==============================] - 0s 36ms/step - loss: 0.0018 - MAE: 0.0266 - MAPE: 1392.9135 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 10/200\n", "6/6 [==============================] - 0s 36ms/step - loss: 0.0020 - MAE: 0.0263 - MAPE: 3212.2773 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 11/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 0.0014 - MAE: 0.0228 - MAPE: 6089.4077 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 12/200\n", "6/6 [==============================] - 0s 36ms/step - loss: 0.0013 - MAE: 0.0220 - MAPE: 4050.6211 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 13/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 0.0014 - MAE: 0.0221 - MAPE: 2665.9312 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 14/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 0.0015 - MAE: 0.0234 - MAPE: 6548.0400 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 15/200\n", "6/6 [==============================] - 0s 36ms/step - loss: 0.0015 - MAE: 0.0237 - MAPE: 3941.4199 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 16/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 0.0014 - MAE: 0.0225 - MAPE: 7436.8794 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 17/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 0.0012 - MAE: 0.0210 - MAPE: 1672.8270 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 18/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 0.0011 - MAE: 0.0205 - MAPE: 3104.4785 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 19/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 0.0012 - MAE: 0.0205 - MAPE: 429.0417 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 20/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 0.0011 - MAE: 0.0201 - MAPE: 572.4976 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 21/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 0.0011 - MAE: 0.0201 - MAPE: 2979.8623 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 22/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 0.0012 - MAE: 0.0204 - MAPE: 1913.9456 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 23/200\n", "6/6 [==============================] - 0s 36ms/step - loss: 0.0010 - MAE: 0.0193 - MAPE: 1758.8938 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 24/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 9.9857e-04 - MAE: 0.0193 - MAPE: 1965.6210 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 25/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 0.0010 - MAE: 0.0192 - MAPE: 3942.5471 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 26/200\n", "6/6 [==============================] - 0s 36ms/step - loss: 9.8854e-04 - MAE: 0.0190 - MAPE: 2956.6628 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 27/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 9.7701e-04 - MAE: 0.0189 - MAPE: 4067.7500 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 28/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 0.0010 - MAE: 0.0195 - MAPE: 305.6445 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 29/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 0.0012 - MAE: 0.0215 - MAPE: 792.9704 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 30/200\n", "6/6 [==============================] - 0s 36ms/step - loss: 0.0013 - MAE: 0.0218 - MAPE: 4082.9443 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 31/200\n", "6/6 [==============================] - 0s 36ms/step - loss: 0.0011 - MAE: 0.0210 - MAPE: 1310.5103 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 32/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 0.0010 - MAE: 0.0192 - MAPE: 255.6467 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 33/200\n", "6/6 [==============================] - 0s 36ms/step - loss: 0.0019 - MAE: 0.0282 - MAPE: 7019.6064 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 34/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 0.0013 - MAE: 0.0233 - MAPE: 6805.7559 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 35/200\n", "6/6 [==============================] - 0s 36ms/step - loss: 0.0017 - MAE: 0.0261 - MAPE: 763.6566 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 36/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 0.0013 - MAE: 0.0246 - MAPE: 6694.3936 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 37/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 0.0014 - MAE: 0.0240 - MAPE: 2347.6023 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 38/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 0.0013 - MAE: 0.0224 - MAPE: 3337.9402 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 39/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 0.0011 - MAE: 0.0215 - MAPE: 4986.9482 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 40/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 0.0010 - MAE: 0.0212 - MAPE: 3307.1440 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 41/200\n", "6/6 [==============================] - 0s 36ms/step - loss: 8.9657e-04 - MAE: 0.0195 - MAPE: 2773.0916 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 42/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 0.0021 - MAE: 0.0292 - MAPE: 5419.1543 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 43/200\n", "6/6 [==============================] - 0s 36ms/step - loss: 0.0015 - MAE: 0.0265 - MAPE: 7172.8535 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 44/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 0.0012 - MAE: 0.0237 - MAPE: 7824.0742 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 45/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 0.0011 - MAE: 0.0207 - MAPE: 729.2680 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 46/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 9.2524e-04 - MAE: 0.0193 - MAPE: 2714.7883 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 47/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 0.0013 - MAE: 0.0229 - MAPE: 7408.1724 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 48/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 9.9411e-04 - MAE: 0.0205 - MAPE: 520.9581 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 49/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 0.0011 - MAE: 0.0204 - MAPE: 774.7983 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 50/200\n", "6/6 [==============================] - 0s 37ms/step - loss: 8.9229e-04 - MAE: 0.0190 - MAPE: 5975.3296 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 51/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 9.4661e-04 - MAE: 0.0195 - MAPE: 697.5920 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 52/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 8.4952e-04 - MAE: 0.0183 - MAPE: 4304.4902 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 53/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 9.6127e-04 - MAE: 0.0194 - MAPE: 2650.1030 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 54/200\n", "6/6 [==============================] - 0s 36ms/step - loss: 9.4477e-04 - MAE: 0.0193 - MAPE: 4256.7368 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 55/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 8.7754e-04 - MAE: 0.0186 - MAPE: 3635.0417 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 56/200\n", "6/6 [==============================] - 0s 36ms/step - loss: 8.5041e-04 - MAE: 0.0179 - MAPE: 3296.5396 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 57/200\n", "6/6 [==============================] - 0s 36ms/step - loss: 8.1594e-04 - MAE: 0.0180 - MAPE: 2423.9211 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 58/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 9.0585e-04 - MAE: 0.0187 - MAPE: 740.0018 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 59/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 8.9242e-04 - MAE: 0.0193 - MAPE: 3683.1199 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 60/200\n", "6/6 [==============================] - 0s 36ms/step - loss: 8.5348e-04 - MAE: 0.0188 - MAPE: 8651.9268 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 61/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 8.2854e-04 - MAE: 0.0182 - MAPE: 3180.2783 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 62/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 9.3875e-04 - MAE: 0.0192 - MAPE: 1694.0045 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 63/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 8.5700e-04 - MAE: 0.0191 - MAPE: 8236.4512 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 64/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 8.2023e-04 - MAE: 0.0186 - MAPE: 3774.4456 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 65/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 9.7597e-04 - MAE: 0.0208 - MAPE: 2906.8979 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 66/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 0.0015 - MAE: 0.0249 - MAPE: 5212.8018 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 67/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 9.6636e-04 - MAE: 0.0197 - MAPE: 1966.2268 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 68/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 8.9722e-04 - MAE: 0.0190 - MAPE: 7733.6567 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 69/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 9.5707e-04 - MAE: 0.0194 - MAPE: 3737.7278 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 70/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 8.7630e-04 - MAE: 0.0183 - MAPE: 4400.6309 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 71/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 7.9640e-04 - MAE: 0.0176 - MAPE: 4667.8843 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 72/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 7.6340e-04 - MAE: 0.0175 - MAPE: 759.7166 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 73/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 8.3902e-04 - MAE: 0.0178 - MAPE: 3205.3074 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 74/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 7.1532e-04 - MAE: 0.0170 - MAPE: 7425.6162 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 75/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 8.7988e-04 - MAE: 0.0191 - MAPE: 2157.1851 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 76/200\n", "6/6 [==============================] - 0s 36ms/step - loss: 7.8703e-04 - MAE: 0.0184 - MAPE: 546.4073 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 77/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 9.4534e-04 - MAE: 0.0196 - MAPE: 3219.3984 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 78/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 8.5481e-04 - MAE: 0.0200 - MAPE: 649.7078 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 79/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 9.3607e-04 - MAE: 0.0195 - MAPE: 6181.2314 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 80/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 0.0017 - MAE: 0.0271 - MAPE: 3926.2422 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 81/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 0.0010 - MAE: 0.0227 - MAPE: 630.2184 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 82/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 9.3932e-04 - MAE: 0.0201 - MAPE: 7741.7354 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 83/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 8.5286e-04 - MAE: 0.0183 - MAPE: 4622.4756 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 84/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 7.6727e-04 - MAE: 0.0183 - MAPE: 512.1459 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 85/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 7.4256e-04 - MAE: 0.0182 - MAPE: 6511.8423 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 86/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 7.4687e-04 - MAE: 0.0183 - MAPE: 1147.0010 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 87/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 7.7580e-04 - MAE: 0.0180 - MAPE: 4902.0366 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 88/200\n", "6/6 [==============================] - 0s 36ms/step - loss: 7.5556e-04 - MAE: 0.0178 - MAPE: 7214.0112 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 89/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 7.7704e-04 - MAE: 0.0176 - MAPE: 4014.8123 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 90/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 7.2925e-04 - MAE: 0.0173 - MAPE: 1285.2451 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 91/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 7.5061e-04 - MAE: 0.0178 - MAPE: 4561.3784 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 92/200\n", "6/6 [==============================] - 0s 36ms/step - loss: 7.1916e-04 - MAE: 0.0172 - MAPE: 1539.1210 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 93/200\n", "6/6 [==============================] - 0s 39ms/step - loss: 8.1345e-04 - MAE: 0.0181 - MAPE: 5165.5171 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 94/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 7.5221e-04 - MAE: 0.0173 - MAPE: 3204.9736 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 95/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 0.0012 - MAE: 0.0229 - MAPE: 6320.2720 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 96/200\n", "6/6 [==============================] - 0s 36ms/step - loss: 8.9615e-04 - MAE: 0.0194 - MAPE: 2450.8765 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 97/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 0.0011 - MAE: 0.0206 - MAPE: 193.7095 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 98/200\n", "6/6 [==============================] - 0s 36ms/step - loss: 0.0010 - MAE: 0.0206 - MAPE: 4201.9824 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 99/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 0.0011 - MAE: 0.0230 - MAPE: 4488.0898 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 100/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 0.0011 - MAE: 0.0239 - MAPE: 4684.4756 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 101/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 7.6561e-04 - MAE: 0.0194 - MAPE: 2994.6472 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 102/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 0.0013 - MAE: 0.0226 - MAPE: 1915.5132 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 103/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 0.0014 - MAE: 0.0250 - MAPE: 293.3149 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 104/200\n", "6/6 [==============================] - 0s 36ms/step - loss: 0.0012 - MAE: 0.0241 - MAPE: 1936.7085 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 105/200\n", "6/6 [==============================] - 0s 36ms/step - loss: 9.1535e-04 - MAE: 0.0213 - MAPE: 7467.1738 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 106/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 7.6411e-04 - MAE: 0.0187 - MAPE: 416.7107 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 107/200\n", "6/6 [==============================] - 0s 36ms/step - loss: 7.5466e-04 - MAE: 0.0178 - MAPE: 2330.8533 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 108/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 7.5015e-04 - MAE: 0.0175 - MAPE: 5318.1333 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 109/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 7.6009e-04 - MAE: 0.0173 - MAPE: 5988.5820 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 110/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 7.0994e-04 - MAE: 0.0172 - MAPE: 3324.1621 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 111/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 7.2698e-04 - MAE: 0.0175 - MAPE: 4554.6929 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 112/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 7.7762e-04 - MAE: 0.0182 - MAPE: 6328.6455 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 113/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 6.9188e-04 - MAE: 0.0176 - MAPE: 5424.5112 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 114/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 6.9595e-04 - MAE: 0.0177 - MAPE: 3765.5930 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 115/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 6.5153e-04 - MAE: 0.0164 - MAPE: 718.2709 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 116/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 7.1251e-04 - MAE: 0.0168 - MAPE: 261.5475 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 117/200\n", "6/6 [==============================] - 0s 33ms/step - loss: 7.6156e-04 - MAE: 0.0177 - MAPE: 1907.7561 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 118/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 6.5178e-04 - MAE: 0.0165 - MAPE: 2064.2080 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 119/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 8.5291e-04 - MAE: 0.0188 - MAPE: 12962.2266 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 120/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 7.4107e-04 - MAE: 0.0173 - MAPE: 7174.8535 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 121/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 7.6460e-04 - MAE: 0.0178 - MAPE: 4190.6123 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 122/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 7.0021e-04 - MAE: 0.0176 - MAPE: 4681.1372 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 123/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 7.1405e-04 - MAE: 0.0192 - MAPE: 2401.4919 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 124/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 8.0677e-04 - MAE: 0.0179 - MAPE: 6716.6265 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 125/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 7.5553e-04 - MAE: 0.0172 - MAPE: 3859.3950 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 126/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 6.1296e-04 - MAE: 0.0160 - MAPE: 4287.5552 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 127/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 0.0010 - MAE: 0.0209 - MAPE: 5384.1855 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 128/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 8.0929e-04 - MAE: 0.0201 - MAPE: 345.5365 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 129/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 6.6536e-04 - MAE: 0.0177 - MAPE: 2163.7483 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 130/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 6.1435e-04 - MAE: 0.0160 - MAPE: 2795.2622 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 131/200\n", "6/6 [==============================] - 0s 36ms/step - loss: 6.6368e-04 - MAE: 0.0163 - MAPE: 7093.1025 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 132/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 6.1828e-04 - MAE: 0.0161 - MAPE: 575.1943 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 133/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 5.9749e-04 - MAE: 0.0158 - MAPE: 6105.1963 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 134/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 6.8131e-04 - MAE: 0.0165 - MAPE: 4446.3076 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 135/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 8.9191e-04 - MAE: 0.0193 - MAPE: 660.5879 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 136/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 7.5774e-04 - MAE: 0.0183 - MAPE: 3085.4739 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 137/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 7.4401e-04 - MAE: 0.0177 - MAPE: 3100.4409 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 138/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 7.6159e-04 - MAE: 0.0174 - MAPE: 1029.7885 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 139/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 7.1387e-04 - MAE: 0.0170 - MAPE: 1443.5061 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 140/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 6.5743e-04 - MAE: 0.0162 - MAPE: 1105.7280 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 141/200\n", "6/6 [==============================] - 0s 36ms/step - loss: 6.7291e-04 - MAE: 0.0165 - MAPE: 4567.3413 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 142/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 6.2194e-04 - MAE: 0.0163 - MAPE: 9809.8701 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 143/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 6.9463e-04 - MAE: 0.0167 - MAPE: 3332.8691 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 144/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 6.6282e-04 - MAE: 0.0164 - MAPE: 4243.7505 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 145/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 6.5627e-04 - MAE: 0.0165 - MAPE: 1587.5892 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 146/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 7.1715e-04 - MAE: 0.0175 - MAPE: 391.6780 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 147/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 7.0256e-04 - MAE: 0.0177 - MAPE: 10044.3516 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 148/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 8.8631e-04 - MAE: 0.0185 - MAPE: 7914.1421 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 149/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 9.8410e-04 - MAE: 0.0218 - MAPE: 13838.8643 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 150/200\n", "6/6 [==============================] - 0s 36ms/step - loss: 8.2050e-04 - MAE: 0.0210 - MAPE: 5233.6069 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 151/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 7.0494e-04 - MAE: 0.0182 - MAPE: 6980.9888 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 152/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 7.0280e-04 - MAE: 0.0176 - MAPE: 2383.6506 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 153/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 7.2234e-04 - MAE: 0.0169 - MAPE: 3734.5410 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 154/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 6.7157e-04 - MAE: 0.0169 - MAPE: 5528.3735 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 155/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 6.0254e-04 - MAE: 0.0159 - MAPE: 265.4604 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 156/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 7.2080e-04 - MAE: 0.0173 - MAPE: 1533.2561 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 157/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 6.9208e-04 - MAE: 0.0181 - MAPE: 5446.7056 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 158/200\n", "6/6 [==============================] - 0s 36ms/step - loss: 6.9326e-04 - MAE: 0.0179 - MAPE: 6443.0542 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 159/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 7.2627e-04 - MAE: 0.0193 - MAPE: 8785.4453 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 160/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 9.6188e-04 - MAE: 0.0204 - MAPE: 7907.8467 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 161/200\n", "6/6 [==============================] - 0s 38ms/step - loss: 0.0014 - MAE: 0.0249 - MAPE: 6886.6782 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 162/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 8.4995e-04 - MAE: 0.0225 - MAPE: 15876.8555 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 163/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 8.1640e-04 - MAE: 0.0204 - MAPE: 1286.1879 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 164/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 0.0010 - MAE: 0.0237 - MAPE: 7574.7168 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 165/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 8.7256e-04 - MAE: 0.0210 - MAPE: 3713.5884 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 166/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 8.5558e-04 - MAE: 0.0199 - MAPE: 10152.6641 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 167/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 7.7297e-04 - MAE: 0.0187 - MAPE: 6278.4478 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 168/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 6.9803e-04 - MAE: 0.0179 - MAPE: 1673.6584 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 169/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 6.7984e-04 - MAE: 0.0178 - MAPE: 7670.5024 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 170/200\n", "6/6 [==============================] - 0s 35ms/step - loss: 0.0011 - MAE: 0.0220 - MAPE: 7138.9248 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 171/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 0.0013 - MAE: 0.0264 - MAPE: 5018.9126 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 172/200\n", "6/6 [==============================] - 0s 34ms/step - loss: 0.0010 - MAE: 0.0247 - MAPE: 11362.6455 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 173/200\n", "6/6 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1617.5645 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n", "Epoch 200/200\n", "6/6 [==============================] - 0s 36ms/step - loss: 6.2845e-04 - MAE: 0.0174 - MAPE: 3097.6794 - f1_score: 0.4376 - Accuracy: 6.2266e-04 - precision: 1.0000\n" ] } ], "source": [ "GRU_History = GRU_model.fit(features_set, labels, epochs = 200, batch_size = 640)" ] }, { "cell_type": "markdown", "id": "dd2fe6fa-9745-4710-985b-19a30201f9e5", "metadata": {}, "source": [ "#### Ok, MAE of 0.0174" ] }, { "cell_type": "markdown", "id": "9fa8bc94", "metadata": { "papermill": { "duration": 4.417966, "end_time": "2023-07-30T12:20:21.219976", "exception": false, "start_time": "2023-07-30T12:20:16.802010", "status": "completed" }, "tags": [] }, "source": [ "## Evaluate The Models" ] }, { "cell_type": "markdown", "id": "414deedf", "metadata": { "papermill": { "duration": 3.95297, "end_time": "2023-07-30T12:20:29.307334", "exception": false, "start_time": "2023-07-30T12:20:25.354364", "status": "completed" }, "tags": [] }, "source": [ "#### Evaluate Model Training " ] }, { "cell_type": "code", "execution_count": 67, "id": "23b4160b", "metadata": { "papermill": { "duration": 4.071565, "end_time": "2023-07-30T12:20:37.317361", "exception": false, "start_time": "2023-07-30T12:20:33.245796", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "mode": "lines", "name": "RNN Training Loss", "type": "scatter", "x": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = go.Figure()\n", "\n", "# Training loss trace\n", "fig.add_trace(go.Scatter(x=list(range(1, len(RNN_History.history['loss']) + 1)), \n", " y=RNN_History.history['loss'],\n", " mode='lines',\n", " name='RNN Training Loss'))\n", "fig.add_trace(go.Scatter(x=list(range(1, len(LSTM_History.history['loss']) + 1)), \n", " y=LSTM_History.history['loss'],\n", " mode='lines',\n", " name='LSTM Training Loss'))\n", "fig.add_trace(go.Scatter(x=list(range(1, len(GRU_History.history['loss']) + 1)), \n", " y=GRU_History.history['loss'],\n", " mode='lines',\n", " name='GRU Training Loss'))\n", "\n", "fig.update_layout(title='Training and Validation Loss',\n", " xaxis_title='Epoch',\n", " yaxis_title='Loss',\n", " legend_title='Loss Type',\n", " hovermode='x',\n", " hoverlabel=dict(bgcolor='white', font_size=12, font_family='Rockwell'),\n", " template='plotly_white')\n", "\n", "fig.show()" ] }, { "cell_type": "markdown", "id": "2d254063", "metadata": { "papermill": { "duration": 4.004079, "end_time": "2023-07-30T12:20:45.353640", "exception": false, "start_time": "2023-07-30T12:20:41.349561", "status": "completed" }, "tags": [] }, "source": [ "#### Evaluate Model Prediction \n", "\n", "##### Using cleaned test dataset" ] }, { "cell_type": "code", "execution_count": 68, "id": "b6727de1", "metadata": { "papermill": { "duration": 4.552443, "end_time": "2023-07-30T12:20:53.877972", "exception": false, "start_time": "2023-07-30T12:20:49.325529", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "array([101.419998, 98.68 , 97.860001, 97.18 , 97.559998,\n", " 99.059998, 96.559998, 99.970001, 100.769997, 99.629997,\n", " 99.970001, 101.129997, 102.519997, 104.480003, 94.93 ,\n", " 92.220001, 96.290001, 94.510002, 90.470001, 86.970001,\n", " 83.43 , 86.580002, 88.489998, 88.900002, 87.32 ,\n", " 93.940002, 96.410004, 95.699997, 98.440002, 98.849998,\n", " 98.360001, 97.43 , 95.599998, 97.050003, 98.459999,\n", " 97.459999, 96.050003, 95.190002, 100.989998, 100.989998,\n", " 100.440002, 99.480003, 96.980003, 94.940002, 93.709999,\n", " 92.830002, 93.309998, 95.629997, 95.07 , 90.860001,\n", " 90.260002, 88.440002, 89.019997, 89.580002, 87.760002,\n", " 89.230003, 87.389999, 86.019997, 88.449997, 88.230003,\n", " 89.120003, 88.080002, 86.199997, 87.339996, 88.019997,\n", " 88.419998, 91.519997, 91.129997, 92.120003, 91.290001,\n", " 91.120003, 93.050003, 98.019997, 99.790001, 97.699997,\n", " 95.220001, 97.519997, 99.370003, 96.940002, 98.839996,\n", " 100.43 , 107.739998, 104.779999, 102.900002, 107.639999,\n", " 99.370003, 95.010002, 94.57 , 94.610001, 94.68 ,\n", " 96.940002, 95.510002, 94.349998, 91.790001, 91.650002,\n", " 90.889999, 89.129997, 89.870003, 90.059998, 90.360001,\n", " 92. , 93.650002, 95.129997, 93.860001, 94.25 ,\n", " 92.32 , 90.629997, 91.110001, 93.970001, 96.110001,\n", " 100.32 , 101.620003, 101.220001, 104.919998, 103.370003,\n", " 105.599998, 105.440002, 102.459999, 101.029999, 101.389999,\n", " 100.889999, 103.730003, 104.360001, 104.720001, 104.470001,\n", " 108.419998, 106.440002, 105.349998, 104.639999, 107.43 ,\n", " 108.870003, 105.970001, 104.5 , 104.18 , 105.290001,\n", " 105.410004, 105.970001, 103.849998, 103.709999, 107.589996,\n", " 107.339996, 107.199997, 105.32 , 105.410004, 104.690002,\n", " 105.57 , 107.769997, 107.349998, 111.75 , 116.57 ,\n", " 117.510002, 116.510002, 119.510002, 120.839996, 122.830002,\n", " 122.760002, 125.050003, 122.559998, 120.900002, 123.480003,\n", " 124.610001, 123.669998, 122.870003, 123.720001, 124.669998,\n", " 126.010002, 127.309998, 122.5 , 122.139999, 122.230003,\n", " 123.639999, 123.830002, 123.669998, 125.089996, 123.529999,\n", " 123.099998, 120.550003, 123.150002, 122.339996, 118.339996,\n", " 118.330002, 120.18 , 119.099998, 119.699997, 119.900002,\n", " 121.75 , 120.110001, 119.480003, 116.449997, 117.139999,\n", " 118.93 , 124.540001, 125.419998, 124.650002, 123.760002,\n", " 122.029999, 119.199997, 120.019997, 121.529999, 122.209999,\n", " 129.270004, 129.399994, 132.580002])" ] }, "execution_count": 68, "metadata": {}, "output_type": "execute_result" } ], "source": [ "google_testing_complete = pd.read_csv(\"./Google_Stock_Test (2023).csv\")\n", "google_testing_processed = google_testing_complete.iloc[:, 1:2].values\n", "\n", "google_total = pd.concat((google_training_complete['Close'], google_testing_complete['Close']), axis=0)\n", "\n", "test_inputs = google_total[len(google_total) - len(google_testing_complete) - 60:].values\n", "test_inputs" ] }, { "cell_type": "code", "execution_count": 69, "id": "d70caede", "metadata": { "papermill": { "duration": 3.927888, "end_time": "2023-07-30T12:21:01.829654", "exception": false, "start_time": "2023-07-30T12:20:57.901766", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "(143, 60, 1)" ] }, "execution_count": 69, "metadata": {}, "output_type": "execute_result" } ], "source": [ "test_inputs = test_inputs.reshape(-1,1)\n", "test_inputs = scaler.transform(test_inputs)\n", "\n", "test_features = []\n", "for i in range(60, len(test_inputs)):\n", " test_features.append(test_inputs[i-60:i, 0])\n", " \n", "test_features = np.array(test_features)\n", "test_features = np.reshape(test_features, (test_features.shape[0], test_features.shape[1], 1))\n", "test_features.shape" ] }, { "cell_type": "code", "execution_count": 70, "id": "d2b30666", "metadata": { "papermill": { "duration": 7.318304, "end_time": "2023-07-30T12:21:13.217714", "exception": false, "start_time": "2023-07-30T12:21:05.899410", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "5/5 [==============================] - 1s 54ms/step - loss: 11554.4688 - MAE: 106.7566 - MAPE: 99.3472 - f1_score: 1.9816 - Accuracy: 0.0000e+00 - precision: 1.0000\n", "RNN Test Loss: [11554.46875, 106.75663757324219, 99.34722137451172, array([1.9815602], dtype=float32), 0.0, 1.0]\n", "5/5 [==============================] - 1s 27ms/step - loss: 11572.7139 - MAE: 106.8377 - MAPE: 99.4197 - f1_score: 1.9816 - Accuracy: 0.0000e+00 - precision: 1.0000\n", "LSTM Test Loss: [11572.7138671875, 106.83771514892578, 99.41974639892578, array([1.9815602], dtype=float32), 0.0, 1.0]\n", "5/5 [==============================] - 1s 23ms/step - loss: 11559.2441 - MAE: 106.7759 - MAPE: 99.3626 - f1_score: 1.9816 - Accuracy: 0.0000e+00 - precision: 1.0000\n", "GRU Test Loss: [11559.244140625, 106.77589416503906, 99.36260986328125, array([1.9815602], dtype=float32), 0.0, 1.0]\n" ] } ], "source": [ "# Test the model on the test set\n", "## RNN\n", "RNN_test_loss = RNN_model.evaluate(test_features, google_testing_processed)\n", "print(f'RNN Test Loss: {RNN_test_loss}')\n", "\n", "## LSTM\n", "LSTM_test_loss = LSTM_model.evaluate(test_features, google_testing_processed)\n", "print(f'LSTM Test Loss: {LSTM_test_loss}')\n", "\n", "## GRU\n", "GRU_test_loss = GRU_model.evaluate(test_features, google_testing_processed)\n", "print(f'GRU Test Loss: {GRU_test_loss}')" ] }, { "cell_type": "markdown", "id": "874035e3", "metadata": { "papermill": { "duration": 3.918705, "end_time": "2023-07-30T12:21:21.104118", "exception": false, "start_time": "2023-07-30T12:21:17.185413", "status": "completed" }, "tags": [] }, "source": [ "## Forecast Markets" ] }, { "cell_type": "code", "execution_count": 71, "id": "634f331d", "metadata": { "papermill": { "duration": 7.245005, "end_time": "2023-07-30T12:21:32.976005", "exception": false, "start_time": "2023-07-30T12:21:25.731000", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "5/5 [==============================] - 1s 54ms/step\n", "5/5 [==============================] - 1s 10ms/step\n", "5/5 [==============================] - 1s 12ms/step\n" ] } ], "source": [ "# RNN\n", "RNN_predictions = RNN_model.predict(test_features)\n", "RNN_predictions = scaler.inverse_transform(RNN_predictions)\n", "\n", "# LSTM\n", "LSTM_predictions = LSTM_model.predict(test_features)\n", "LSTM_predictions = scaler.inverse_transform(LSTM_predictions)\n", "\n", "# GRU\n", "GRU_predictions = GRU_model.predict(test_features)\n", "GRU_predictions = scaler.inverse_transform(GRU_predictions)" ] }, { "cell_type": "code", "execution_count": 72, "id": "a4e43541", "metadata": { "papermill": { "duration": 3.942263, "end_time": "2023-07-30T12:21:41.062336", "exception": false, "start_time": "2023-07-30T12:21:37.120073", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "
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DateOpenHighLowCloseAdj CloseVolume
02023-01-0389.58999691.05000388.51999789.12000389.12000328131200
12023-01-0490.34999890.65000287.26999788.08000288.08000234854800
22023-01-0587.47000187.57000085.90000286.19999786.19999727194400
32023-01-0686.79000187.69000284.86000187.33999687.33999641381500
42023-01-0988.36000190.05000387.86000188.01999788.01999729003900
........................
1382023-07-24121.660004123.000000120.980003121.529999121.52999929686100
1392023-07-25121.360001123.150002121.019997122.209999122.20999952509600
1402023-07-26130.070007130.979996128.320007129.270004129.27000461682100
1412023-07-27131.669998133.240005128.789993129.399994129.39999444952100
1422023-07-28130.779999133.740005130.570007132.580002132.58000236572900
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DateRNN_OpenLSTM_OpenGRU_Open
02023-01-0389.76179582.48128587.833824
12023-01-0489.38056982.14537888.074127
22023-01-0589.08776181.91863388.152527
32023-01-0688.81989381.76749487.754929
42023-01-0988.49047181.66730587.387054
...............
1382023-07-24131.086044111.596542120.487892
1392023-07-25131.083679111.854652120.331024
1402023-07-26131.231766111.973335120.570282
1412023-07-27131.598236112.064293121.998161
1422023-07-28132.154419112.244171123.765366
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" ], "text/plain": [ " Date RNN_Open LSTM_Open GRU_Open\n", "0 2023-01-03 89.761795 82.481285 87.833824\n", "1 2023-01-04 89.380569 82.145378 88.074127\n", "2 2023-01-05 89.087761 81.918633 88.152527\n", "3 2023-01-06 88.819893 81.767494 87.754929\n", "4 2023-01-09 88.490471 81.667305 87.387054\n", ".. ... ... ... ...\n", "138 2023-07-24 131.086044 111.596542 120.487892\n", "139 2023-07-25 131.083679 111.854652 120.331024\n", "140 2023-07-26 131.231766 111.973335 120.570282\n", "141 2023-07-27 131.598236 112.064293 121.998161\n", "142 2023-07-28 132.154419 112.244171 123.765366\n", "\n", "[143 rows x 4 columns]" ] }, "execution_count": 73, "metadata": {}, "output_type": "execute_result" } ], "source": [ "google_prediction = google_testing_complete['Date']\n", "google_prediction = pd.DataFrame(google_prediction)\n", "google_prediction['RNN_Open'] = RNN_predictions\n", "google_prediction['LSTM_Open'] = LSTM_predictions\n", "google_prediction['GRU_Open'] = GRU_predictions\n", "\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = go.Figure()\n", "\n", "# Actual Google stock price trace\n", "fig.add_trace(go.Scatter(x=google_testing_complete.Date,\n", " y=google_testing_complete.Open,\n", " mode='lines',\n", " name='Actual Google Stock Price',\n", " line=dict(color='black')))\n", "\n", "# RNN Google Google stock price trace\n", "fig.add_trace(go.Scatter(x=google_prediction.Date,\n", " y=google_prediction.RNN_Open,\n", " mode='lines',\n", " name='RNN Predicted Google Stock Price',\n", " line=dict(color='red')))\n", "\n", "# LSTM Predicted Google stock price trace\n", "fig.add_trace(go.Scatter(x=google_prediction.Date,\n", " y=google_prediction.LSTM_Open,\n", " mode='lines',\n", " name='LSTM Predicted Google Stock Price',\n", " line=dict(color='green')))\n", "\n", "# LSTM Predicted Google stock price trace\n", "fig.add_trace(go.Scatter(x=google_prediction.Date,\n", " y=google_prediction.GRU_Open,\n", " mode='lines',\n", " name='GRU Predicted Google Stock Price',\n", " line=dict(color='lightblue')))\n", "\n", "fig.update_layout(title='Google Stock Price Forecast',\n", " xaxis_title='Date',\n", " yaxis_title='Google Stock Price',\n", " legend_title='Price Type',\n", " hovermode='x',\n", " hoverlabel=dict(bgcolor='white', font_size=12, font_family='Rockwell'),\n", " template='plotly_white')\n", "\n", "fig.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "bf7c94bd-de5a-47c6-b775-48d7287e87c3", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.12" }, "papermill": { "default_parameters": {}, "duration": 8486.356643, "end_time": "2023-07-30T12:22:04.857830", "environment_variables": {}, "exception": null, "input_path": "__notebook__.ipynb", "output_path": "__notebook__.ipynb", "parameters": {}, "start_time": "2023-07-30T10:00:38.501187", "version": "2.4.0" }, "widgets": { "application/vnd.jupyter.widget-state+json": { "state": {}, "version_major": 2, "version_minor": 0 } } }, "nbformat": 4, "nbformat_minor": 5 }