{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"# **Predicting Ball Drawing After Punt**","metadata":{}},{"cell_type":"markdown","source":"\n\nIn this notebook, we would like to build a model based on data-driven strategy to predict the results of a ball drawn after a punt. Because as we all know that an important role of coaches, in any sport, is predicting what the opposing team will do. Nobody can predict it perfectly, but the best coaches make good adjustments. Coaches and players can collaborate in each other to understand certain tendencies, and our objective is to take a data-driven approach in finding these.\n\n\n**Overall Architecture**\n\n![image.png](attachment:df32d885-4a27-429d-b4a0-c33ea97a235c.png)\n\n","metadata":{},"attachments":{"df32d885-4a27-429d-b4a0-c33ea97a235c.png":{"image/png":"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"}}},{"cell_type":"code","source":"import pandas as pd\nimport numpy as np\nimport os\nimport seaborn as sns","metadata":{"execution":{"iopub.status.busy":"2022-01-06T19:57:40.099877Z","iopub.execute_input":"2022-01-06T19:57:40.100212Z","iopub.status.idle":"2022-01-06T19:57:40.105154Z","shell.execute_reply.started":"2022-01-06T19:57:40.100172Z","shell.execute_reply":"2022-01-06T19:57:40.104146Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Load **plays.csv** data using DataFrame from pandas library","metadata":{}},{"cell_type":"code","source":"plays_df = pd.read_csv('../input/nfl-big-data-bowl-2022/plays.csv')\nplays_df","metadata":{"executionInfo":{"elapsed":377,"status":"ok","timestamp":1634887564616,"user":{"displayName":"尤岱亞","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"05794067915137838712"},"user_tz":-480},"id":"LAPvppAYlBSy","outputId":"404d0612-087b-4cdf-9e69-4a480bd99ed8","execution":{"iopub.status.busy":"2022-01-06T19:57:40.116130Z","iopub.execute_input":"2022-01-06T19:57:40.116691Z","iopub.status.idle":"2022-01-06T19:57:40.254727Z","shell.execute_reply.started":"2022-01-06T19:57:40.116654Z","shell.execute_reply":"2022-01-06T19:57:40.253816Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"result_df = plays_df.groupby(['specialTeamsResult']).size().to_frame(name = 'count').reset_index()\nresult_df","metadata":{"execution":{"iopub.status.busy":"2022-01-06T19:57:40.256485Z","iopub.execute_input":"2022-01-06T19:57:40.256716Z","iopub.status.idle":"2022-01-06T19:57:40.273737Z","shell.execute_reply.started":"2022-01-06T19:57:40.256686Z","shell.execute_reply":"2022-01-06T19:57:40.272824Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import plotly.express as px\n\nfig = px.pie(result_df, values='count', names='specialTeamsResult', \n             color_discrete_sequence=px.colors.sequential.RdBu)\nfig.update_traces(textposition='inside', textinfo='percent+label')\nfig.show()","metadata":{"execution":{"iopub.status.busy":"2022-01-06T19:57:40.275039Z","iopub.execute_input":"2022-01-06T19:57:40.275316Z","iopub.status.idle":"2022-01-06T19:57:40.337656Z","shell.execute_reply.started":"2022-01-06T19:57:40.275284Z","shell.execute_reply":"2022-01-06T19:57:40.336890Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import plotly.express as px\n\nresult_df = result_df.sort_values(by=['count'], ascending=False)\nfig = px.bar(result_df, y='count', x='specialTeamsResult', text='count', log_y=False,\n            color_discrete_sequence=px.colors.sequential.RdBu)\nfig.update_traces(texttemplate='%{text:.2s}', textposition='outside')\nfig.update_layout(uniformtext_minsize=8, uniformtext_mode='hide')\nfig.show()","metadata":{"execution":{"iopub.status.busy":"2022-01-06T19:57:40.339691Z","iopub.execute_input":"2022-01-06T19:57:40.340306Z","iopub.status.idle":"2022-01-06T19:57:40.412087Z","shell.execute_reply.started":"2022-01-06T19:57:40.340266Z","shell.execute_reply":"2022-01-06T19:57:40.411233Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plays_df.columns","metadata":{"execution":{"iopub.status.busy":"2022-01-06T19:57:40.413405Z","iopub.execute_input":"2022-01-06T19:57:40.413617Z","iopub.status.idle":"2022-01-06T19:57:40.419935Z","shell.execute_reply.started":"2022-01-06T19:57:40.413590Z","shell.execute_reply":"2022-01-06T19:57:40.419001Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Load **PFFScoutingData.csv** data using DataFrame from pandas library","metadata":{}},{"cell_type":"code","source":"PFF_df = pd.read_csv('../input/nfl-big-data-bowl-2022/PFFScoutingData.csv')\nPFF_df.columns","metadata":{"execution":{"iopub.status.busy":"2022-01-06T19:57:40.421879Z","iopub.execute_input":"2022-01-06T19:57:40.422307Z","iopub.status.idle":"2022-01-06T19:57:40.501047Z","shell.execute_reply.started":"2022-01-06T19:57:40.422263Z","shell.execute_reply":"2022-01-06T19:57:40.500255Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"X1 = plays_df[['gameId', 'playId', 'kickerId', 'specialTeamsPlayType', 'specialTeamsResult', \n              'yardlineNumber', 'kickLength', 'kickReturnYardage', 'playResult', \n              'absoluteYardlineNumber']].copy().set_index(['gameId', 'playId'])\nX1","metadata":{"execution":{"iopub.status.busy":"2022-01-06T19:57:40.502445Z","iopub.execute_input":"2022-01-06T19:57:40.502673Z","iopub.status.idle":"2022-01-06T19:57:40.534131Z","shell.execute_reply.started":"2022-01-06T19:57:40.502647Z","shell.execute_reply":"2022-01-06T19:57:40.533203Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"X2 = PFF_df[['gameId', 'playId', 'snapDetail', 'kickType', 'kickContactType', \n              'operationTime', 'hangTime']].copy().set_index(['gameId', 'playId'])\nX2","metadata":{"execution":{"iopub.status.busy":"2022-01-06T19:57:40.535866Z","iopub.execute_input":"2022-01-06T19:57:40.536208Z","iopub.status.idle":"2022-01-06T19:57:40.566512Z","shell.execute_reply.started":"2022-01-06T19:57:40.536164Z","shell.execute_reply":"2022-01-06T19:57:40.565554Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"X = pd.concat([X1, X2.reindex(X1.index)], axis=1)\nX","metadata":{"execution":{"iopub.status.busy":"2022-01-06T19:57:40.569881Z","iopub.execute_input":"2022-01-06T19:57:40.570140Z","iopub.status.idle":"2022-01-06T19:57:40.606841Z","shell.execute_reply.started":"2022-01-06T19:57:40.570111Z","shell.execute_reply":"2022-01-06T19:57:40.606124Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"X_punt = X[X['specialTeamsPlayType'] == 'Punt']\nX_punt","metadata":{"execution":{"iopub.status.busy":"2022-01-06T19:57:40.609635Z","iopub.execute_input":"2022-01-06T19:57:40.609885Z","iopub.status.idle":"2022-01-06T19:57:40.650773Z","shell.execute_reply.started":"2022-01-06T19:57:40.609855Z","shell.execute_reply":"2022-01-06T19:57:40.649840Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"X_punt.specialTeamsResult.value_counts()","metadata":{"execution":{"iopub.status.busy":"2022-01-06T19:57:40.651964Z","iopub.execute_input":"2022-01-06T19:57:40.652266Z","iopub.status.idle":"2022-01-06T19:57:40.661410Z","shell.execute_reply.started":"2022-01-06T19:57:40.652194Z","shell.execute_reply":"2022-01-06T19:57:40.660426Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import plotly.express as px\n\nresult_df = X_punt.groupby(['specialTeamsResult']).size().to_frame(name = 'count').reset_index()\nresult_df\n\nresult_df = result_df.sort_values(by=['count'], ascending=False)\nfig = px.bar(result_df, y='count', x='specialTeamsResult', text='count', log_y=False,\n            color_discrete_sequence=px.colors.sequential.RdBu)\nfig.update_traces(texttemplate='%{text:.2s}', textposition='outside')\nfig.update_layout(uniformtext_minsize=8, uniformtext_mode='hide')\nfig.show()","metadata":{"execution":{"iopub.status.busy":"2022-01-06T19:57:40.662397Z","iopub.execute_input":"2022-01-06T19:57:40.662621Z","iopub.status.idle":"2022-01-06T19:57:41.093742Z","shell.execute_reply.started":"2022-01-06T19:57:40.662594Z","shell.execute_reply":"2022-01-06T19:57:41.092879Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"X_punt = X_punt.dropna(subset=['kickType', 'kickContactType', 'snapDetail'])\nX_punt","metadata":{"execution":{"iopub.status.busy":"2022-01-06T19:57:41.095384Z","iopub.execute_input":"2022-01-06T19:57:41.095691Z","iopub.status.idle":"2022-01-06T19:57:41.137759Z","shell.execute_reply.started":"2022-01-06T19:57:41.095648Z","shell.execute_reply":"2022-01-06T19:57:41.136886Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"X_punt['kickReturnYardage'] = X_punt['kickReturnYardage'].fillna(0)\nX_punt['operationTime'] = round(X_punt['operationTime'].fillna(X_punt['operationTime'].mean()), 2)\nX_punt['hangTime'] = round(X_punt['hangTime'].fillna(X_punt['hangTime'].mean()), 2)","metadata":{"execution":{"iopub.status.busy":"2022-01-06T19:57:41.139336Z","iopub.execute_input":"2022-01-06T19:57:41.139654Z","iopub.status.idle":"2022-01-06T19:57:41.150123Z","shell.execute_reply.started":"2022-01-06T19:57:41.139609Z","shell.execute_reply":"2022-01-06T19:57:41.149202Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"X_punt_ori = X_punt.copy()\n","metadata":{"execution":{"iopub.status.busy":"2022-01-06T19:57:41.151494Z","iopub.execute_input":"2022-01-06T19:57:41.151812Z","iopub.status.idle":"2022-01-06T19:57:41.157623Z","shell.execute_reply.started":"2022-01-06T19:57:41.151777Z","shell.execute_reply":"2022-01-06T19:57:41.156652Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"X_punt.index = X_punt.index.droplevel(0)\nX_punt","metadata":{"execution":{"iopub.status.busy":"2022-01-06T19:57:41.158826Z","iopub.execute_input":"2022-01-06T19:57:41.159161Z","iopub.status.idle":"2022-01-06T19:57:41.195247Z","shell.execute_reply.started":"2022-01-06T19:57:41.159116Z","shell.execute_reply":"2022-01-06T19:57:41.194410Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import matplotlib.pyplot as plt\n\nfig = plt.figure(figsize=(18, 15))\ngs = fig.add_gridspec(3, 2)\n\nax = fig.add_subplot(gs[0, 0])\nsns.violinplot(data = X_punt, x='specialTeamsResult', y='yardlineNumber')\n\nax = fig.add_subplot(gs[0, 1])\nsns.violinplot(data = X_punt, x='specialTeamsResult', y='kickLength')\n\nax = fig.add_subplot(gs[1, 0])\nsns.violinplot(data = X_punt, x='specialTeamsResult', y='playResult')\n\nax = fig.add_subplot(gs[1, 1])\nsns.violinplot(data = X_punt, x='specialTeamsResult', y='absoluteYardlineNumber')\n\nax = fig.add_subplot(gs[2, 0])\nsns.violinplot(data = X_punt, x='specialTeamsResult', y='operationTime')\n\nax = fig.add_subplot(gs[2, 1])\nsns.violinplot(data = X_punt, x='specialTeamsResult', y='hangTime')\n\nfig.tight_layout()","metadata":{"execution":{"iopub.status.busy":"2022-01-06T19:57:41.196395Z","iopub.execute_input":"2022-01-06T19:57:41.196622Z","iopub.status.idle":"2022-01-06T19:57:43.171224Z","shell.execute_reply.started":"2022-01-06T19:57:41.196594Z","shell.execute_reply":"2022-01-06T19:57:43.170319Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"data = X_punt.copy()","metadata":{"execution":{"iopub.status.busy":"2022-01-06T19:57:43.172479Z","iopub.execute_input":"2022-01-06T19:57:43.172729Z","iopub.status.idle":"2022-01-06T19:57:43.177822Z","shell.execute_reply.started":"2022-01-06T19:57:43.172698Z","shell.execute_reply":"2022-01-06T19:57:43.176986Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"data","metadata":{"execution":{"iopub.status.busy":"2022-01-06T19:57:43.178999Z","iopub.execute_input":"2022-01-06T19:57:43.179281Z","iopub.status.idle":"2022-01-06T19:57:43.214771Z","shell.execute_reply.started":"2022-01-06T19:57:43.179251Z","shell.execute_reply":"2022-01-06T19:57:43.214073Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"data[\"specialTeamsResult\"] = data[\"specialTeamsResult\"].astype('category')\ndata[\"snapDetail\"] = data[\"snapDetail\"].astype('category')\ndata[\"kickType\"] = data[\"kickType\"].astype('category')\ndata[\"kickContactType\"] = data[\"kickContactType\"].astype('category')","metadata":{"execution":{"iopub.status.busy":"2022-01-06T19:57:43.216127Z","iopub.execute_input":"2022-01-06T19:57:43.216638Z","iopub.status.idle":"2022-01-06T19:57:43.235495Z","shell.execute_reply.started":"2022-01-06T19:57:43.216509Z","shell.execute_reply":"2022-01-06T19:57:43.234496Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"data.dtypes","metadata":{"execution":{"iopub.status.busy":"2022-01-06T19:57:43.237019Z","iopub.execute_input":"2022-01-06T19:57:43.237451Z","iopub.status.idle":"2022-01-06T19:57:43.244268Z","shell.execute_reply.started":"2022-01-06T19:57:43.237415Z","shell.execute_reply":"2022-01-06T19:57:43.243401Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"data[\"specialTeamsResult_cat\"] = data[\"specialTeamsResult\"].cat.codes\ndata[\"snapDetail_cat\"] = data[\"snapDetail\"].cat.codes\ndata[\"kickType_cat\"] = data[\"kickType\"].cat.codes\ndata[\"kickContactType_cat\"] = data[\"kickContactType\"].cat.codes","metadata":{"execution":{"iopub.status.busy":"2022-01-06T19:57:43.245730Z","iopub.execute_input":"2022-01-06T19:57:43.246000Z","iopub.status.idle":"2022-01-06T19:57:43.260121Z","shell.execute_reply.started":"2022-01-06T19:57:43.245968Z","shell.execute_reply":"2022-01-06T19:57:43.259132Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"data","metadata":{"execution":{"iopub.status.busy":"2022-01-06T19:57:43.261358Z","iopub.execute_input":"2022-01-06T19:57:43.261602Z","iopub.status.idle":"2022-01-06T19:57:43.308480Z","shell.execute_reply.started":"2022-01-06T19:57:43.261573Z","shell.execute_reply":"2022-01-06T19:57:43.307642Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"**BASELINE MODEL**\n\nReference: https://www.kaggle.com/bkjhhbjhbjkhbjh/nfl-prediction-of-result-draw-a-ball-after-punt","metadata":{}},{"cell_type":"code","source":"from sklearn.model_selection import train_test_split\nfrom xgboost import XGBClassifier\nfrom sklearn.neighbors import KNeighborsClassifier\nfrom sklearn.linear_model import SGDClassifier\nfrom sklearn.svm import SVC, LinearSVC\nfrom sklearn.tree import DecisionTreeClassifier\nfrom sklearn.ensemble import RandomForestClassifier\nfrom sklearn.metrics import classification_report\n\nfrom sklearn.metrics import accuracy_score\nfrom sklearn.metrics import confusion_matrix\n\n\nmodels = {\n    \"XGBClassifier\": XGBClassifier(),\n    \"K-Nearest Neighbors\": KNeighborsClassifier(),  \n    \"Stochastic Gradient Descent Classifier\": SGDClassifier(),\n    \"Support Vector Classifier\": SVC(),\n    \"Linear Support Vector Classifier\": LinearSVC(),\n    \"Decision Tree Classifier\": DecisionTreeClassifier(),\n    \"Random Forest Classifier\": RandomForestClassifier(random_state = 5)         \n         }\n \ncols_to_use2 = ['yardlineNumber', 'kickLength', 'playResult', 'hangTime', 'snapDetail_cat', 'kickType_cat']\n\nX5 = data[['specialTeamsResult', 'specialTeamsResult_cat', 'yardlineNumber',\n           'kickLength', 'kickReturnYardage', 'playResult', 'absoluteYardlineNumber', \n           'snapDetail', 'snapDetail_cat', 'kickType', 'kickType_cat', \n           'kickContactType', 'kickContactType_cat', 'operationTime', 'hangTime']]\ny5 = data['specialTeamsResult_cat']\n\nX5_train, X5_test, y5_train, y5_test = train_test_split(X5, y5, test_size=0.4, random_state = 11)\nX_dl_train, X_dl_valid, y_dl_train, y_dl_valid = train_test_split(X5_train, y5_train, test_size=0.2, random_state = 11)\n\nfor name, model in models.items():\n    model.fit(X_dl_train[cols_to_use2], y_dl_train)\n    print(name + \" trained\")\n    \nprint(\"-------------------------\", '\\n')\n\nfor name, model in models.items():\n    print(name)\n    predictions4 = model.predict(X5_test[cols_to_use2])\n#     print(\"Accuracy: %.2f%%\" % (accuracy_score(y5_test, predictions4, normalize=True) * 100.0))\n    print(classification_report(y5_test, predictions4, target_names=X_punt.specialTeamsResult.unique()))","metadata":{"execution":{"iopub.status.busy":"2022-01-06T19:57:43.309702Z","iopub.execute_input":"2022-01-06T19:57:43.309922Z","iopub.status.idle":"2022-01-06T19:57:46.145784Z","shell.execute_reply.started":"2022-01-06T19:57:43.309895Z","shell.execute_reply":"2022-01-06T19:57:46.144804Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from sklearn.model_selection import train_test_split\nfrom xgboost import XGBClassifier\n\nmy_model5 = XGBClassifier(booster='gbtree', max_depth=7, eta=0.07, gamma=0.01, subsample=0.8, colsample_bytree = 1, min_child_weight=2)\nmy_model5.fit(X_dl_train[cols_to_use2], y_dl_train)\n\npredictions5 = my_model5.predict(X5_test[cols_to_use2])\n\nfrom sklearn.metrics import accuracy_score\naccuracy = accuracy_score(y5_test, predictions5, normalize=True)\nprint(\"Primary Accuracy: 69.63% (with standart parameters)\")\nprint(\"Accuracy: %.2f%%\" % (accuracy * 100.0))\n\nprint('\\n')\nprint(my_model5)","metadata":{"execution":{"iopub.status.busy":"2022-01-06T19:57:46.147204Z","iopub.execute_input":"2022-01-06T19:57:46.148105Z","iopub.status.idle":"2022-01-06T19:57:47.421609Z","shell.execute_reply.started":"2022-01-06T19:57:46.148067Z","shell.execute_reply":"2022-01-06T19:57:47.420941Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from sklearn.metrics import classification_report\nfrom sklearn.metrics import confusion_matrix\nfrom sklearn.metrics import plot_confusion_matrix\nfrom sklearn.svm import SVC\n\nprint(classification_report(y5_test, predictions5, target_names=X_punt.specialTeamsResult.unique()))\n\nprint(confusion_matrix(y5_test, predictions5))\n\nplot_confusion_matrix(my_model5, X5_test[cols_to_use2], y5_test)  \nplt.show()","metadata":{"scrolled":true,"execution":{"iopub.status.busy":"2022-01-06T19:57:47.422675Z","iopub.execute_input":"2022-01-06T19:57:47.423467Z","iopub.status.idle":"2022-01-06T19:57:47.828851Z","shell.execute_reply.started":"2022-01-06T19:57:47.423428Z","shell.execute_reply":"2022-01-06T19:57:47.827948Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# **Ensemble Learning Model**\n\n**Voting Ensemble Learning Architecture**\n\n![image.png](attachment:f0354955-1cd1-41d7-b27e-d4806a4114be.png)","metadata":{},"attachments":{"f0354955-1cd1-41d7-b27e-d4806a4114be.png":{"image/png":"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"}}},{"cell_type":"code","source":"from sklearn.ensemble import RandomForestClassifier, VotingClassifier, BaggingClassifier, ExtraTreesClassifier, AdaBoostClassifier, GradientBoostingClassifier\nfrom sklearn.ensemble import BaggingRegressor, RandomForestRegressor, ExtraTreesRegressor","metadata":{"execution":{"iopub.status.busy":"2022-01-06T19:57:47.829939Z","iopub.execute_input":"2022-01-06T19:57:47.830163Z","iopub.status.idle":"2022-01-06T19:57:47.834841Z","shell.execute_reply.started":"2022-01-06T19:57:47.830136Z","shell.execute_reply":"2022-01-06T19:57:47.833932Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"X_e = data[cols_to_use2]\ny_e = data.specialTeamsResult_cat\nX_e_train, X_e_test, y_e_train, y_e_test = train_test_split(X_e, y_e, test_size=0.4, random_state = 11)\nX_e_dl_train, X_e_dl_valid, y_e_dl_train, y_e_dl_valid = train_test_split(X_e_train, y_e_train, test_size=0.2, random_state = 11)","metadata":{"execution":{"iopub.status.busy":"2022-01-06T19:57:47.840540Z","iopub.execute_input":"2022-01-06T19:57:47.840796Z","iopub.status.idle":"2022-01-06T19:57:47.854971Z","shell.execute_reply.started":"2022-01-06T19:57:47.840765Z","shell.execute_reply":"2022-01-06T19:57:47.854201Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import keras\nfrom keras import utils as np_utils\n\n## deal with label (string -> one-hot)\n\nfrom sklearn.preprocessing import LabelEncoder\n\nlabel_encoder = LabelEncoder()\nlabel_encoder.fit(y_dl_train)\nprint('check label: ', label_encoder.classes_)\nprint('\\n## Before convert')\nprint('y_train[0:6]:\\n', y_e_dl_train[0:6])\nprint('\\ny_train.shape: ', y_e_dl_train.shape)\nprint('y_test.shape: ', y_e_dl_valid.shape)\n\ndef label_encode(le, labels):\n    enc = le.transform(labels)\n    return keras.utils.np_utils.to_categorical(enc)\n\ndef label_decode(le, one_hot_label):\n    dec = np.argmax(one_hot_label, axis=1)\n    return le.inverse_transform(dec)\n\ny_train = label_encode(label_encoder, y_e_dl_train)\ny_valid = label_encode(label_encoder, y_e_dl_valid)\ny_test = label_encode(label_encoder, y_e_test)\n\nprint('\\n\\n## After convert')\nprint('y_train[0:6]:\\n', y_train[0:6])\nprint('\\ny_train.shape: ', y_train.shape)\nprint('y_valid.shape: ', y_valid.shape)\nprint('\\ny_test.shape: ', y_e_test.shape)","metadata":{"execution":{"iopub.status.busy":"2022-01-06T19:57:47.856776Z","iopub.execute_input":"2022-01-06T19:57:47.857014Z","iopub.status.idle":"2022-01-06T19:57:47.873284Z","shell.execute_reply.started":"2022-01-06T19:57:47.856982Z","shell.execute_reply":"2022-01-06T19:57:47.872561Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"ori_label = label_decode(label_encoder, y_test)","metadata":{"execution":{"iopub.status.busy":"2022-01-06T19:57:47.874926Z","iopub.execute_input":"2022-01-06T19:57:47.875188Z","iopub.status.idle":"2022-01-06T19:57:47.879690Z","shell.execute_reply.started":"2022-01-06T19:57:47.875156Z","shell.execute_reply":"2022-01-06T19:57:47.878816Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from sklearn.metrics import confusion_matrix, accuracy_score, classification_report\n\ndef evaluate(model, X_e_train, X_e_test, y_e_train, y_e_test):\n    y_test_pred = model.predict(X_e_test)\n    y_train_pred = model.predict(X_e_train)\n\n    print(\"TRAINIG RESULTS: \\n===============================\")\n    clf_report = pd.DataFrame(classification_report(y_e_train, y_train_pred, output_dict=True))\n    print(f\"CONFUSION MATRIX:\\n{confusion_matrix(y_e_train, y_train_pred)}\")\n    print(f\"ACCURACY SCORE:\\n{accuracy_score(y_e_train, y_train_pred):.4f}\")\n    print(f\"CLASSIFICATION REPORT:\\n{clf_report}\")\n\n    print(\"TESTING RESULTS: \\n===============================\")\n    clf_report = pd.DataFrame(classification_report(y_e_test, y_test_pred, output_dict=True))\n    print(f\"CONFUSION MATRIX:\\n{confusion_matrix(y_e_test, y_test_pred)}\")\n    print(f\"ACCURACY SCORE:\\n{accuracy_score(y_e_test, y_test_pred):.4f}\")\n    print(f\"CLASSIFICATION REPORT:\\n{clf_report}\")\n\n    print(classification_report(ori_label, y_test_pred, target_names=X_punt.specialTeamsResult.unique()))","metadata":{"execution":{"iopub.status.busy":"2022-01-06T19:57:47.881123Z","iopub.execute_input":"2022-01-06T19:57:47.881337Z","iopub.status.idle":"2022-01-06T19:57:47.893965Z","shell.execute_reply.started":"2022-01-06T19:57:47.881311Z","shell.execute_reply":"2022-01-06T19:57:47.893186Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Create 5 objects that represent our 4 models\nrf = RandomForestClassifier(n_jobs=-1,n_estimators=500,warm_start=True,max_depth=6,min_samples_leaf=2,max_features='sqrt',verbose=0)\net = ExtraTreesClassifier(n_jobs=-1,n_estimators=500,max_depth=12,min_samples_leaf=2,verbose=0)\nada = AdaBoostClassifier(n_estimators=500,learning_rate=0.75)#0.75\ngb = GradientBoostingClassifier(n_estimators=500,max_depth=5,min_samples_leaf=2,verbose=0)#5\nsvc = SVC(kernel='linear',C=0.025,probability=True)","metadata":{"execution":{"iopub.status.busy":"2022-01-06T19:57:47.895218Z","iopub.execute_input":"2022-01-06T19:57:47.895465Z","iopub.status.idle":"2022-01-06T19:57:47.911228Z","shell.execute_reply.started":"2022-01-06T19:57:47.895433Z","shell.execute_reply":"2022-01-06T19:57:47.910137Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"clf2 = VotingClassifier(estimators = [('rf',rf), ('et',et), ('ada', ada), ('gb',gb), ('svc',svc)], voting='soft') # construct the ensemble classifier ,('clf1',clf1),('clf3',clf3)","metadata":{"execution":{"iopub.status.busy":"2022-01-06T19:57:47.912378Z","iopub.execute_input":"2022-01-06T19:57:47.912701Z","iopub.status.idle":"2022-01-06T19:57:47.922832Z","shell.execute_reply.started":"2022-01-06T19:57:47.912659Z","shell.execute_reply":"2022-01-06T19:57:47.922005Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"clf2.fit(X_e_train, y_e_train) # training tar","metadata":{"execution":{"iopub.status.busy":"2022-01-06T19:57:47.924316Z","iopub.execute_input":"2022-01-06T19:57:47.924745Z","iopub.status.idle":"2022-01-06T19:58:13.224865Z","shell.execute_reply.started":"2022-01-06T19:57:47.924696Z","shell.execute_reply":"2022-01-06T19:58:13.224062Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"y_true, y_pred = y_e_train, clf2.predict (X_e_test)","metadata":{"execution":{"iopub.status.busy":"2022-01-06T19:58:13.225938Z","iopub.execute_input":"2022-01-06T19:58:13.226155Z","iopub.status.idle":"2022-01-06T19:58:14.301536Z","shell.execute_reply.started":"2022-01-06T19:58:13.226128Z","shell.execute_reply":"2022-01-06T19:58:14.300586Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"print('accuracy on the test set: ', accuracy_score(y_e_test, y_pred))","metadata":{"execution":{"iopub.status.busy":"2022-01-06T19:58:14.303431Z","iopub.execute_input":"2022-01-06T19:58:14.303837Z","iopub.status.idle":"2022-01-06T19:58:14.309939Z","shell.execute_reply.started":"2022-01-06T19:58:14.303788Z","shell.execute_reply":"2022-01-06T19:58:14.308999Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"print(classification_report(ori_label, y_pred, target_names=X_punt.specialTeamsResult.unique()))","metadata":{"execution":{"iopub.status.busy":"2022-01-06T19:58:14.311495Z","iopub.execute_input":"2022-01-06T19:58:14.312214Z","iopub.status.idle":"2022-01-06T19:58:14.331529Z","shell.execute_reply.started":"2022-01-06T19:58:14.312165Z","shell.execute_reply":"2022-01-06T19:58:14.330260Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"evaluate(clf2, X_e_train, X_e_test, y_e_train, ori_label)","metadata":{"execution":{"iopub.status.busy":"2022-01-06T19:58:14.332610Z","iopub.execute_input":"2022-01-06T19:58:14.332835Z","iopub.status.idle":"2022-01-06T19:58:16.855330Z","shell.execute_reply.started":"2022-01-06T19:58:14.332807Z","shell.execute_reply":"2022-01-06T19:58:16.853465Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# DNN","metadata":{}},{"cell_type":"markdown","source":"**DNN Architecture**\n\n![image.png](attachment:16536f13-925e-4f39-9bf6-525cf126308d.png)","metadata":{},"attachments":{"16536f13-925e-4f39-9bf6-525cf126308d.png":{"image/png":"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"}}},{"cell_type":"code","source":"import tensorflow as tf\n\ntf.keras.backend.clear_session()","metadata":{"execution":{"iopub.status.busy":"2022-01-06T20:04:11.793472Z","iopub.execute_input":"2022-01-06T20:04:11.793753Z","iopub.status.idle":"2022-01-06T20:04:11.802034Z","shell.execute_reply.started":"2022-01-06T20:04:11.793714Z","shell.execute_reply":"2022-01-06T20:04:11.801367Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"X_dl_train","metadata":{"execution":{"iopub.status.busy":"2022-01-06T20:04:11.988554Z","iopub.execute_input":"2022-01-06T20:04:11.988999Z","iopub.status.idle":"2022-01-06T20:04:12.024323Z","shell.execute_reply.started":"2022-01-06T20:04:11.988955Z","shell.execute_reply":"2022-01-06T20:04:12.023441Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# the histogram of the data\nlabels = X_dl_train['specialTeamsResult'].unique()\npost_total = len(X_dl_train)\ndf1 = X_dl_train.groupby(['specialTeamsResult']).count()['specialTeamsResult_cat']\n# df1 = df1.apply(lambda x: round(x*100/post_total,3))\n\n#plot\nfig, ax = plt.subplots(figsize=(17,3))\nplt.bar(df1.index,df1.values)\n\n#arrange\nplt.ylabel('% of instances')\nplt.xlabel('specialTeamsResult')\nplt.title('specialTeamsResult distribution')\nplt.grid(True)\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-01-06T20:04:12.187787Z","iopub.execute_input":"2022-01-06T20:04:12.188287Z","iopub.status.idle":"2022-01-06T20:04:12.396196Z","shell.execute_reply.started":"2022-01-06T20:04:12.188242Z","shell.execute_reply":"2022-01-06T20:04:12.395498Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# the histogram of the data\nlabels = X_dl_valid['specialTeamsResult'].unique()\npost_total = len(X_dl_valid)\ndf1 = X_dl_valid.groupby(['specialTeamsResult']).count()['specialTeamsResult_cat']\n# df1 = df1.apply(lambda x: round(x*100/post_total,3))\n\n#plot\nfig, ax = plt.subplots(figsize=(17,3))\nplt.bar(df1.index,df1.values)\n\n#arrange\nplt.ylabel('% of instances')\nplt.xlabel('specialTeamsResult')\nplt.title('specialTeamsResult distribution')\nplt.grid(True)\nplt.show()","metadata":{"scrolled":true,"execution":{"iopub.status.busy":"2022-01-06T20:04:12.398267Z","iopub.execute_input":"2022-01-06T20:04:12.398598Z","iopub.status.idle":"2022-01-06T20:04:12.610692Z","shell.execute_reply.started":"2022-01-06T20:04:12.398553Z","shell.execute_reply":"2022-01-06T20:04:12.609831Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# the histogram of the data\nlabels = X5_test['specialTeamsResult'].unique()\npost_total = len(X5_test)\ndf1 = X5_test.groupby(['specialTeamsResult']).count()['specialTeamsResult_cat']\n# df1 = df1.apply(lambda x: round(x*100/post_total,3))\n\n#plot\nfig, ax = plt.subplots(figsize=(17,3))\nplt.bar(df1.index,df1.values)\n\n#arrange\nplt.ylabel('% of instances')\nplt.xlabel('specialTeamsResult')\nplt.title('specialTeamsResult distribution')\nplt.grid(True)\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-01-06T20:04:12.612546Z","iopub.execute_input":"2022-01-06T20:04:12.613040Z","iopub.status.idle":"2022-01-06T20:04:12.817968Z","shell.execute_reply.started":"2022-01-06T20:04:12.612991Z","shell.execute_reply":"2022-01-06T20:04:12.817107Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"## check dimension is a good habbit \nprint('X_dl_train.shape: ', X_dl_train.shape)\nprint('y_dl_train.shape: ', y_dl_train.shape)\nprint('X_dl_valid.shape: ', X_dl_valid.shape)\nprint('y_dl_valid.shape: ', y_dl_valid.shape)","metadata":{"execution":{"iopub.status.busy":"2022-01-06T20:04:12.819743Z","iopub.execute_input":"2022-01-06T20:04:12.820090Z","iopub.status.idle":"2022-01-06T20:04:12.826502Z","shell.execute_reply.started":"2022-01-06T20:04:12.820031Z","shell.execute_reply":"2022-01-06T20:04:12.825681Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import keras\nfrom keras import utils as np_utils\n\n## deal with label (string -> one-hot)\n\nfrom sklearn.preprocessing import LabelEncoder\n\nlabel_encoder = LabelEncoder()\nlabel_encoder.fit(y_dl_train)\nprint('check label: ', label_encoder.classes_)\nprint('\\n## Before convert')\nprint('y_train[0:6]:\\n', y_dl_train[0:6])\nprint('\\ny_train.shape: ', y_dl_train.shape)\nprint('y_test.shape: ', y_dl_valid.shape)\n\ndef label_encode(le, labels):\n    enc = le.transform(labels)\n    return keras.utils.np_utils.to_categorical(enc)\n\ndef label_decode(le, one_hot_label):\n    dec = np.argmax(one_hot_label, axis=1)\n    return le.inverse_transform(dec)\n\ny_train = label_encode(label_encoder, y_dl_train)\ny_valid = label_encode(label_encoder, y_dl_valid)\ny_test = label_encode(label_encoder, y5_test)\n\nprint('\\n\\n## After convert')\nprint('y_train[0:6]:\\n', y_train[0:6])\nprint('\\ny_train.shape: ', y_train.shape)\nprint('y_valid.shape: ', y_valid.shape)\nprint('\\ny_test.shape: ', y5_test.shape)\n","metadata":{"execution":{"iopub.status.busy":"2022-01-06T20:04:12.851770Z","iopub.execute_input":"2022-01-06T20:04:12.852184Z","iopub.status.idle":"2022-01-06T20:04:12.870459Z","shell.execute_reply.started":"2022-01-06T20:04:12.852134Z","shell.execute_reply":"2022-01-06T20:04:12.869622Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"X_train = X_dl_train[['yardlineNumber', 'kickLength', 'playResult', 'hangTime', 'snapDetail_cat', 'kickType_cat']]\nX_valid = X_dl_valid[['yardlineNumber', 'kickLength', 'playResult', 'hangTime', 'snapDetail_cat', 'kickType_cat']]\nX_test = X5_test[['yardlineNumber', 'kickLength', 'playResult', 'hangTime', 'snapDetail_cat', 'kickType_cat']]\n\ninput_shape = X_train.shape[1]\nprint('input_shape: ', input_shape)\n\noutput_shape = len(label_encoder.classes_)\nprint('output_shape: ', output_shape)","metadata":{"execution":{"iopub.status.busy":"2022-01-06T20:04:13.198330Z","iopub.execute_input":"2022-01-06T20:04:13.198595Z","iopub.status.idle":"2022-01-06T20:04:13.209860Z","shell.execute_reply.started":"2022-01-06T20:04:13.198562Z","shell.execute_reply":"2022-01-06T20:04:13.209182Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from keras.models import Model\nfrom keras.layers import Input, Dense\nfrom keras.layers import ReLU, Softmax\n\n# input layer\nmodel_input = Input(shape=(input_shape, ))  # 6\nX = model_input\n\n# 1st hidden layer\nX_W1 = Dense(units=64)(X)  # 64\nH1 = ReLU()(X_W1)\n\n# 2nd hidden layer\nH1_W2 = Dense(units=64)(H1)  # 64\nH2 = ReLU()(H1_W2)\n\n# output layer\nH2_W3 = Dense(units=output_shape)(H2)  # 6\nH3 = Softmax()(H2_W3)\n\nmodel_output = H3\n\n# create model\nmodel = Model(inputs=[model_input], outputs=[model_output])\n\n# loss function & optimizer\nmodel.compile(optimizer='adam',\n              loss='categorical_crossentropy',\n              metrics=['accuracy'])\n\n# show model construction\nmodel.summary()","metadata":{"execution":{"iopub.status.busy":"2022-01-06T20:04:13.913012Z","iopub.execute_input":"2022-01-06T20:04:13.913344Z","iopub.status.idle":"2022-01-06T20:04:13.964971Z","shell.execute_reply.started":"2022-01-06T20:04:13.913311Z","shell.execute_reply":"2022-01-06T20:04:13.964235Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from keras.callbacks import CSVLogger\n\n# csv_logger = CSVLogger('logs/training_log.csv')\n\nmy_callbacks = [\n    tf.keras.callbacks.EarlyStopping(monitor=\"val_accuracy\", patience=50, restore_best_weights=True),\n#     tf.keras.callbacks.ModelCheckpoint(filepath='model.{epoch:02d}-{val_loss:.2f}.h5'),\n    tf.keras.callbacks.CSVLogger('./training_log_dnn_wo_gcn.csv'),\n]\n\n# training setting\nepochs = 200\nbatch_size = 32\n\n# training!\nhistory = model.fit(X_train, y_train, \n                    epochs=epochs, \n                    batch_size=batch_size, \n                    callbacks=[my_callbacks],\n                    validation_data = (X_valid, y_valid))\nprint('training finish')","metadata":{"execution":{"iopub.status.busy":"2022-01-06T20:04:14.562433Z","iopub.execute_input":"2022-01-06T20:04:14.562695Z","iopub.status.idle":"2022-01-06T20:04:56.412259Z","shell.execute_reply.started":"2022-01-06T20:04:14.562667Z","shell.execute_reply":"2022-01-06T20:04:56.411363Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"## predict\npred_result = model.predict(X_test, batch_size=128)\npred_result[:5]","metadata":{"execution":{"iopub.status.busy":"2022-01-06T20:04:56.413861Z","iopub.execute_input":"2022-01-06T20:04:56.414151Z","iopub.status.idle":"2022-01-06T20:04:56.550047Z","shell.execute_reply.started":"2022-01-06T20:04:56.414119Z","shell.execute_reply":"2022-01-06T20:04:56.549164Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"pred_result = label_decode(label_encoder, pred_result)\npred_result[:5]","metadata":{"execution":{"iopub.status.busy":"2022-01-06T20:04:56.551458Z","iopub.execute_input":"2022-01-06T20:04:56.551831Z","iopub.status.idle":"2022-01-06T20:04:56.559866Z","shell.execute_reply.started":"2022-01-06T20:04:56.551727Z","shell.execute_reply":"2022-01-06T20:04:56.558900Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from sklearn.metrics import accuracy_score\n\nprint('testing accuracy: {}'.format(round(accuracy_score(label_decode(label_encoder, y_test), pred_result), 2)))","metadata":{"execution":{"iopub.status.busy":"2022-01-06T20:04:56.561538Z","iopub.execute_input":"2022-01-06T20:04:56.561770Z","iopub.status.idle":"2022-01-06T20:04:56.574987Z","shell.execute_reply.started":"2022-01-06T20:04:56.561740Z","shell.execute_reply":"2022-01-06T20:04:56.573907Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"accuracy = accuracy_score(label_decode(label_encoder, y_test), pred_result, normalize=True)\nprint(\"Accuracy: %.2f%%\" % (accuracy * 100.0))","metadata":{"execution":{"iopub.status.busy":"2022-01-06T20:04:56.576416Z","iopub.execute_input":"2022-01-06T20:04:56.577104Z","iopub.status.idle":"2022-01-06T20:04:56.586252Z","shell.execute_reply.started":"2022-01-06T20:04:56.576900Z","shell.execute_reply":"2022-01-06T20:04:56.585559Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"ori_label = label_decode(label_encoder, y_test)\n","metadata":{"execution":{"iopub.status.busy":"2022-01-06T20:04:56.587447Z","iopub.execute_input":"2022-01-06T20:04:56.587864Z","iopub.status.idle":"2022-01-06T20:04:56.596588Z","shell.execute_reply.started":"2022-01-06T20:04:56.587813Z","shell.execute_reply":"2022-01-06T20:04:56.595894Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from sklearn.metrics import classification_report\nfrom sklearn.metrics import confusion_matrix\nfrom sklearn.metrics import plot_confusion_matrix\nfrom sklearn.svm import SVC\n\nprint(classification_report(ori_label, pred_result, target_names=X_punt.specialTeamsResult.unique()))\n\nprint(confusion_matrix(ori_label, pred_result))","metadata":{"execution":{"iopub.status.busy":"2022-01-06T20:04:56.597737Z","iopub.execute_input":"2022-01-06T20:04:56.598631Z","iopub.status.idle":"2022-01-06T20:04:56.623685Z","shell.execute_reply.started":"2022-01-06T20:04:56.598585Z","shell.execute_reply":"2022-01-06T20:04:56.621544Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#Let's take a look at the training log\ntraining_log = pd.DataFrame()\ntraining_log = pd.read_csv(\"./training_log_dnn_wo_gcn.csv\")\ntraining_log","metadata":{"execution":{"iopub.status.busy":"2022-01-06T20:04:56.625173Z","iopub.execute_input":"2022-01-06T20:04:56.625613Z","iopub.status.idle":"2022-01-06T20:04:56.647210Z","shell.execute_reply.started":"2022-01-06T20:04:56.625564Z","shell.execute_reply":"2022-01-06T20:04:56.646464Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import plotly.express as px\n\ntraining_log.plot(x=\"epoch\", y=['accuracy', 'val_accuracy'])\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-01-06T20:04:56.648419Z","iopub.execute_input":"2022-01-06T20:04:56.648835Z","iopub.status.idle":"2022-01-06T20:04:56.885578Z","shell.execute_reply.started":"2022-01-06T20:04:56.648804Z","shell.execute_reply":"2022-01-06T20:04:56.884523Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"training_log.plot(x=\"epoch\", y=['loss', 'val_loss'])\nplt.show()","metadata":{"scrolled":true,"execution":{"iopub.status.busy":"2022-01-06T20:04:56.888554Z","iopub.execute_input":"2022-01-06T20:04:56.888864Z","iopub.status.idle":"2022-01-06T20:04:57.115467Z","shell.execute_reply.started":"2022-01-06T20:04:56.888821Z","shell.execute_reply":"2022-01-06T20:04:57.114587Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Social Network Features","metadata":{}},{"cell_type":"markdown","source":"* We are considering location dependencies as our additional features, which is related to social network\n* The location dependencies among the players are model with a graph, which its vertex represent a player, and an edge that connect every two vertices that represents the distance between two player\n* We used GCN to extract and aggregate the neighborhood information of each vertex\n* And after that we concatenate the player embedding and the location dependency together, and fed it to the fully-connected NN to get the final embedding\n* Therefore, the final embedding not only represent the information of the players but also that of its nearby neighbors.\n* And we believe that the neighborhood information of particular player can help to improve our classification performance\n\n![image.png](attachment:cafd9055-21ec-4848-8bc5-3cccc5106e3b.png)","metadata":{},"attachments":{"cafd9055-21ec-4848-8bc5-3cccc5106e3b.png":{"image/png":"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"}}},{"cell_type":"code","source":"# # this code is for extracting graph representation\n\n# import math\n# import networkx as nx\n# import stellargraph as sg\n# from stellargraph.mapper import FullBatchNodeGenerator\n# from stellargraph.layer import GCN\n# from tqdm import tqdm\n# from sklearn import preprocessing, model_selection\n# import tensorflow as tf\n# from tensorflow.keras import layers, optimizers, losses, metrics, Model\n\n# final_emb = []\n\n# for index, row in tqdm(X_punt_ori.iterrows(), total=X_punt_ori.shape[0]):\n    \n#     tf.keras.backend.clear_session()\n    \n#     if (str(row['gameId'])[:4] == '2018'):\n#         tracking_df = tracking2018_df\n#     elif (str(row['gameId'])[:4] == '2019'):\n#         tracking_df = tracking2019_df\n#     else:\n#         tracking_df = tracking2020_df\n        \n#     max_frame_id = max(tracking_df[(tracking_df['nflId'] == row['kickerId']) & (tracking_df['gameId'] == row['gameId'])\n#                & (tracking_df['playId'] == row['playId'])]['frameId'].values[:])\n#     team = tracking_df[(tracking_df['nflId'] == row['kickerId']) & (tracking_df['gameId'] == row['gameId'])\n#                & (tracking_df['playId'] == row['playId'])  & (tracking_df['frameId'] == max_frame_id)]['team'].values[0]\n#     temp = tracking_df[(tracking_df['gameId'] == row['gameId']) & (tracking_df['playId'] == row['playId'])\n#                 & (tracking_df['frameId'] == max_frame_id) & (tracking_df['team'] == team)].copy()\n#     temp2 = tracking_df[(tracking_df['gameId'] == row['gameId']) & (tracking_df['playId'] == row['playId'])\n#                 & (tracking_df['frameId'] == max_frame_id) & (tracking_df['team'] != team)].copy()\n    \n#     df1 = pd.DataFrame()\n    \n#     for index1, row1 in temp.iterrows():\n#         for index2, row2 in temp.iterrows():\n#             if (row1['nflId'] != row2['nflId']):\n#                 w_ = math.sqrt((row1['x'] - row2['x'])**2 + (row1['y'] - row2['y'])**2)\n#                 df1 = df1.append({\n#                     's': row1['nflId'],\n#                     't': row2['nflId'],\n#                     'weight': w_,\n#                     'team': row1['team']\n#                 }, ignore_index=True)\n#         if (row1['nflId'] == row['kickerId']):\n#             p_x = temp[temp['nflId'] == row['kickerId']]['x']\n#             p_y = temp[temp['nflId'] == row['kickerId']]['y']\n                \n#     for index1, row1 in temp2.iterrows():\n#         for index2, row2 in temp2.iterrows():\n#             if (row1['nflId'] != row2['nflId']):\n#                 w_ = math.sqrt((row1['x'] - row2['x'])**2 + (row1['y'] - row2['y'])**2)\n#                 df1 = df1.append({\n#                     's': row1['nflId'],\n#                     't': row2['nflId'],\n#                     'weight': w_,\n#                     'team': row1['team']\n#                 }, ignore_index=True)\n        \n#         w__ = math.sqrt((row1['x'] - p_x)**2 + (row1['y'] - p_y)**2)\n#         df1 = df1.append({\n#                     's': row['kickerId'],\n#                     't': row2['nflId'],\n#                     'weight': w__,\n#                     'team': row2['team']\n#                 }, ignore_index=True)\n\n#     G=nx.from_pandas_edgelist(df1, 's', 't', ['weight'])\n    \n#     target_encoding = preprocessing.LabelBinarizer()\n#     train_targets = target_encoding.fit_transform(np.concatenate((temp['team'], temp2['team'])))\n#     labels = train_targets\n    \n#     n_classes = 2\n    \n#     gcn_model = GCNNetwork(\n#         n_inputs=G.number_of_nodes(), \n#         n_outputs=n_classes, \n#         n_layers=2,\n#         hidden_sizes=[16, 8], \n#         activation=np.tanh,\n#         seed=100,\n#     )\n#     gcn_model\n    \n#     A = nx.to_numpy_matrix(G)\n    \n#     A_mod = A + np.eye(G.number_of_nodes()) # add self-connections\n\n#     D_mod = np.zeros_like(A_mod)\n#     np.fill_diagonal(D_mod, np.asarray(A_mod.sum(axis=1)).flatten())\n\n\n#     D_mod_invroot = np.linalg.inv(sqrtm(D_mod))\n\n#     A_hat = D_mod_invroot @ A_mod @ D_mod_invroot\n    \n#     X = np.eye(G.number_of_nodes())\n    \n# #     embed = gcn_model.embedding(A_hat, X)\n\n#     train_nodes = np.array([0, 1, 8])\n#     test_nodes = np.array([i for i in range(labels.shape[0]) if i not in train_nodes])\n#     opt2 = GradDescentOptim(lr=2e-2, wd=2.5e-2)\n    \n#     embeds = list()\n#     accs = list()\n#     train_losses = list()\n#     test_losses = list()\n\n#     loss_min = 1e6\n#     es_iters = 0\n#     es_steps = 50\n#     # lr_rate_ramp = 0 #-0.05\n#     # lr_ramp_steps = 1000\n\n#     for epoch in range(15000):\n\n#         y_pred = gcn_model.forward(A_hat, X)\n\n#         opt2(y_pred, labels, train_nodes)\n\n#     #     if ((epoch+1) % lr_ramp_steps) == 0:\n#     #         opt2.lr *= 1+lr_rate_ramp\n#     #         print(f\"LR set to {opt2.lr:.4f}\")\n\n#         for layer in reversed(gcn_model.layers):\n#             layer.backward(opt2, update=True)\n\n#         embeds.append(gcn_model.embedding(A_hat, X))\n#         # Accuracy for non-training nodes\n#         acc = (np.argmax(y_pred, axis=1) == np.argmax(labels, axis=1))[\n#             [i for i in range(labels.shape[0]) if i not in train_nodes]\n#         ]\n#         accs.append(acc.mean())\n\n#         loss = xent(y_pred, labels)\n#         loss_train = loss[train_nodes].mean()\n#         loss_test = loss[test_nodes].mean()\n\n#         train_losses.append(loss_train)\n#         test_losses.append(loss_test)\n\n#         if loss_test < loss_min:\n#             loss_min = loss_test\n#             es_iters = 0\n#         else:\n#             es_iters += 1\n\n#         if es_iters > es_steps:\n# #             print(\"Early stopping!\")\n#             break\n\n# #         if epoch % 100 == 0:\n# #             print(f\"Epoch: {epoch+1}, Train Loss: {loss_train:.3f}, Test Loss: {loss_test:.3f}\")\n\n#     train_losses = np.array(train_losses)\n#     test_losses = np.array(test_losses)\n    \n#     all_nodes = list(G.nodes)\n    \n#     final_emb.append(embed[all_nodes.index(row['kickerId'])])","metadata":{"execution":{"iopub.status.busy":"2022-01-06T20:04:57.116606Z","iopub.execute_input":"2022-01-06T20:04:57.116820Z","iopub.status.idle":"2022-01-06T20:04:57.127167Z","shell.execute_reply.started":"2022-01-06T20:04:57.116780Z","shell.execute_reply":"2022-01-06T20:04:57.126214Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"final_emb_df = pd.read_csv('../input/graph-representation/final_emb_df.txt')\nfinal_emb_df","metadata":{"execution":{"iopub.status.busy":"2022-01-06T20:04:57.128533Z","iopub.execute_input":"2022-01-06T20:04:57.128867Z","iopub.status.idle":"2022-01-06T20:04:57.177767Z","shell.execute_reply.started":"2022-01-06T20:04:57.128825Z","shell.execute_reply":"2022-01-06T20:04:57.177185Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"concatenated = pd.concat([data.copy().reset_index(), final_emb_df], axis = 1)\nconcatenated","metadata":{"execution":{"iopub.status.busy":"2022-01-06T20:04:57.178921Z","iopub.execute_input":"2022-01-06T20:04:57.179302Z","iopub.status.idle":"2022-01-06T20:04:57.216800Z","shell.execute_reply.started":"2022-01-06T20:04:57.179259Z","shell.execute_reply":"2022-01-06T20:04:57.215972Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"tmp = concatenated[['yardlineNumber', 'kickLength', 'playResult', 'hangTime', 'snapDetail_cat', 'kickType_cat',\n               '0', '1', '2', '3', '4', '5', '6', '7']].copy()","metadata":{"execution":{"iopub.status.busy":"2022-01-06T20:04:57.218401Z","iopub.execute_input":"2022-01-06T20:04:57.218904Z","iopub.status.idle":"2022-01-06T20:04:57.226169Z","shell.execute_reply.started":"2022-01-06T20:04:57.218839Z","shell.execute_reply":"2022-01-06T20:04:57.225540Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### Conventional Methods with Social Networks Features","metadata":{}},{"cell_type":"code","source":"from sklearn.model_selection import train_test_split\nfrom xgboost import XGBClassifier\nfrom sklearn.neighbors import KNeighborsClassifier\nfrom sklearn.linear_model import SGDClassifier\nfrom sklearn.svm import SVC, LinearSVC\nfrom sklearn.tree import DecisionTreeClassifier\nfrom sklearn.ensemble import RandomForestClassifier\nfrom sklearn.metrics import classification_report\n\nfrom sklearn.metrics import accuracy_score\nfrom sklearn.metrics import confusion_matrix\n\n\nmodels = {\n    \"XGBClassifier\": XGBClassifier(),\n    \"K-Nearest Neighbors\": KNeighborsClassifier(),  \n    \"Stochastic Gradient Descent Classifier\": SGDClassifier(),\n    \"Support Vector Classifier\": SVC(),\n    \"Linear Support Vector Classifier\": LinearSVC(),\n    \"Decision Tree Classifier\": DecisionTreeClassifier(),\n    \"Random Forest Classifier\": RandomForestClassifier(random_state = 5)         \n         }\n \ncols_to_use2 = ['yardlineNumber', 'kickLength', 'playResult', 'hangTime', 'snapDetail_cat', 'kickType_cat',\n               '0', '1', '2', '3', '4', '5', '6', '7']\n\nX5 = concatenated[['specialTeamsResult', 'specialTeamsResult_cat', 'yardlineNumber',\n           'kickLength', 'kickReturnYardage', 'playResult', 'absoluteYardlineNumber', \n           'snapDetail', 'snapDetail_cat', 'kickType', 'kickType_cat', \n           'kickContactType', 'kickContactType_cat', 'operationTime', 'hangTime',\n            '0', '1', '2', '3', '4', '5', '6', '7']]\ny5 = concatenated['specialTeamsResult_cat']\n\nX5_train, X5_test, y5_train, y5_test = train_test_split(X5, y5, test_size=0.4, random_state = 11)\nX_dl_train, X_dl_valid, y_dl_train, y_dl_valid = train_test_split(X5_train, y5_train, test_size=0.2, random_state = 11)\n\nfor name, model in models.items():\n    model.fit(X_dl_train[cols_to_use2], y_dl_train)\n    print(name + \" trained\")\n    \nprint(\"-------------------------\", '\\n')\n\nfor name, model in models.items():\n    print(name)\n    predictions4 = model.predict(X5_test[cols_to_use2])\n    print(\"Accuracy: %.2f%%\" % (accuracy_score(y5_test, predictions4, normalize=True) * 100.0))\n    print(classification_report(y5_test, predictions4, target_names=X_punt.specialTeamsResult.unique()))","metadata":{"execution":{"iopub.status.busy":"2022-01-06T20:04:57.227378Z","iopub.execute_input":"2022-01-06T20:04:57.227742Z","iopub.status.idle":"2022-01-06T20:05:00.901867Z","shell.execute_reply.started":"2022-01-06T20:04:57.227703Z","shell.execute_reply":"2022-01-06T20:05:00.901018Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from sklearn.model_selection import train_test_split\nfrom xgboost import XGBClassifier\n\nmy_model5 = XGBClassifier(booster='gbtree', max_depth=7, eta=0.07, gamma=0.01, subsample=0.8, colsample_bytree = 1, min_child_weight=2)\nmy_model5.fit(X_dl_train[cols_to_use2], y_dl_train)\n\npredictions5 = my_model5.predict(X5_test[cols_to_use2])\n\nfrom sklearn.metrics import accuracy_score\naccuracy = accuracy_score(y5_test, predictions5, normalize=True)\nprint(\"Primary Accuracy: 68.74% (with standart parameters)\")\nprint(\"Accuracy: %.2f%%\" % (accuracy * 100.0))\n\nprint('\\n')\nprint(my_model5)","metadata":{"execution":{"iopub.status.busy":"2022-01-06T20:05:00.903282Z","iopub.execute_input":"2022-01-06T20:05:00.903518Z","iopub.status.idle":"2022-01-06T20:05:02.530712Z","shell.execute_reply.started":"2022-01-06T20:05:00.903488Z","shell.execute_reply":"2022-01-06T20:05:02.529884Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from sklearn.metrics import classification_report\nfrom sklearn.metrics import confusion_matrix\nfrom sklearn.metrics import plot_confusion_matrix\nfrom sklearn.svm import SVC\n\nprint(classification_report(y5_test, predictions5, target_names=X_punt.specialTeamsResult.unique()))\n\nprint(confusion_matrix(y5_test, predictions5))\n\nplot_confusion_matrix(my_model5, X5_test[cols_to_use2], y5_test)  \nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-01-06T20:05:02.532118Z","iopub.execute_input":"2022-01-06T20:05:02.532341Z","iopub.status.idle":"2022-01-06T20:05:02.937268Z","shell.execute_reply.started":"2022-01-06T20:05:02.532313Z","shell.execute_reply":"2022-01-06T20:05:02.936385Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### DNN with Social Networks Features","metadata":{}},{"cell_type":"code","source":"tf.keras.backend.clear_session()","metadata":{"execution":{"iopub.status.busy":"2022-01-06T20:06:11.147710Z","iopub.execute_input":"2022-01-06T20:06:11.148080Z","iopub.status.idle":"2022-01-06T20:06:11.156241Z","shell.execute_reply.started":"2022-01-06T20:06:11.148018Z","shell.execute_reply":"2022-01-06T20:06:11.155385Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import keras\nfrom keras import utils as np_utils\n\n## deal with label (string -> one-hot)\n\nfrom sklearn.preprocessing import LabelEncoder\n\nlabel_encoder = LabelEncoder()\nlabel_encoder.fit(y_dl_train)\nprint('check label: ', label_encoder.classes_)\nprint('\\n## Before convert')\nprint('y_train[0:6]:\\n', y_dl_train[0:6])\nprint('\\ny_train.shape: ', y_dl_train.shape)\nprint('y_test.shape: ', y_dl_valid.shape)\n\ndef label_encode(le, labels):\n    enc = le.transform(labels)\n    return keras.utils.np_utils.to_categorical(enc)\n\ndef label_decode(le, one_hot_label):\n    dec = np.argmax(one_hot_label, axis=1)\n    return le.inverse_transform(dec)\n\ny_train = label_encode(label_encoder, y_dl_train)\ny_valid = label_encode(label_encoder, y_dl_valid)\ny_test = label_encode(label_encoder, y5_test)\n\nprint('\\n\\n## After convert')\nprint('y_train[0:6]:\\n', y_train[0:6])\nprint('\\ny_train.shape: ', y_train.shape)\nprint('y_valid.shape: ', y_valid.shape)\nprint('\\ny_test.shape: ', y5_test.shape)\n","metadata":{"execution":{"iopub.status.busy":"2022-01-06T20:06:11.157616Z","iopub.execute_input":"2022-01-06T20:06:11.157851Z","iopub.status.idle":"2022-01-06T20:06:11.180637Z","shell.execute_reply.started":"2022-01-06T20:06:11.157822Z","shell.execute_reply":"2022-01-06T20:06:11.179702Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"X_train = X_dl_train[['yardlineNumber', 'kickLength', 'playResult', 'hangTime', 'snapDetail_cat', 'kickType_cat', \n                      '0', '1', '2', '3', '4', '5', '6', '7']]\nX_valid = X_dl_valid[['yardlineNumber', 'kickLength', 'playResult', 'hangTime', 'snapDetail_cat', 'kickType_cat', \n                      '0', '1', '2', '3', '4', '5', '6', '7']]\nX_test = X5_test[['yardlineNumber', 'kickLength', 'playResult', 'hangTime', 'snapDetail_cat', 'kickType_cat', \n                  '0', '1', '2', '3', '4', '5', '6', '7']]\n\ninput_shape = X_train.shape[1]\nprint('input_shape: ', input_shape)\n\noutput_shape = len(label_encoder.classes_)\nprint('output_shape: ', output_shape)","metadata":{"execution":{"iopub.status.busy":"2022-01-06T20:06:11.182614Z","iopub.execute_input":"2022-01-06T20:06:11.182923Z","iopub.status.idle":"2022-01-06T20:06:11.195379Z","shell.execute_reply.started":"2022-01-06T20:06:11.182889Z","shell.execute_reply":"2022-01-06T20:06:11.194509Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from keras.models import Model\nfrom keras.layers import Input, Dense\nfrom keras.layers import ReLU, Softmax\n\n# input layer\nmodel_input = Input(shape=(input_shape, ))  # 14\nX = model_input\n\n# 1st hidden layer\nX_W1 = Dense(units=64)(X)  # 64\nH1 = ReLU()(X_W1)\n\n# 2nd hidden layer\nH1_W2 = Dense(units=64)(H1)  # 64\nH2 = ReLU()(H1_W2)\n\n# output layer\nH2_W3 = Dense(units=output_shape)(H2)  # 6\nH3 = Softmax()(H2_W3)\n\nmodel_output = H3\n\n# create model\nmodel = Model(inputs=[model_input], outputs=[model_output])\n\n# loss function & optimizer\nmodel.compile(optimizer='adam',\n              loss='categorical_crossentropy',\n              metrics=['accuracy'])\n\n# show model construction\nmodel.summary()","metadata":{"execution":{"iopub.status.busy":"2022-01-06T20:06:11.196561Z","iopub.execute_input":"2022-01-06T20:06:11.196863Z","iopub.status.idle":"2022-01-06T20:06:11.253579Z","shell.execute_reply.started":"2022-01-06T20:06:11.196821Z","shell.execute_reply":"2022-01-06T20:06:11.252605Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from keras.callbacks import CSVLogger\n\n# csv_logger = CSVLogger('logs/training_log.csv')\n\nmy_callbacks = [\n    tf.keras.callbacks.EarlyStopping(monitor=\"val_accuracy\", patience=50, restore_best_weights=True),\n#     tf.keras.callbacks.ModelCheckpoint(filepath='model.{epoch:02d}-{val_loss:.2f}.h5'),\n    tf.keras.callbacks.CSVLogger('./training_log_w_gcn.csv'),\n]\n\n# training setting\nepochs = 200\nbatch_size = 32\n\n# training!\nhistory = model.fit(X_train, y_train, \n                    epochs=epochs, \n                    batch_size=batch_size, \n                    callbacks=[my_callbacks],\n                    validation_data = (X_valid, y_valid))\nprint('training finish')","metadata":{"execution":{"iopub.status.busy":"2022-01-06T20:06:11.254999Z","iopub.execute_input":"2022-01-06T20:06:11.255231Z","iopub.status.idle":"2022-01-06T20:07:01.136841Z","shell.execute_reply.started":"2022-01-06T20:06:11.255199Z","shell.execute_reply":"2022-01-06T20:07:01.135873Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"## predict\npred_result = model.predict(X_test, batch_size=128)\npred_result[:5]","metadata":{"execution":{"iopub.status.busy":"2022-01-06T20:07:01.138245Z","iopub.execute_input":"2022-01-06T20:07:01.138468Z","iopub.status.idle":"2022-01-06T20:07:01.281215Z","shell.execute_reply.started":"2022-01-06T20:07:01.138441Z","shell.execute_reply":"2022-01-06T20:07:01.280181Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"pred_result = label_decode(label_encoder, pred_result)\npred_result[:5]","metadata":{"execution":{"iopub.status.busy":"2022-01-06T20:07:01.282494Z","iopub.execute_input":"2022-01-06T20:07:01.282740Z","iopub.status.idle":"2022-01-06T20:07:01.290238Z","shell.execute_reply.started":"2022-01-06T20:07:01.282711Z","shell.execute_reply":"2022-01-06T20:07:01.289598Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from sklearn.metrics import accuracy_score\n\nprint('testing accuracy: {}'.format(round(accuracy_score(label_decode(label_encoder, y_test), pred_result), 2)))","metadata":{"execution":{"iopub.status.busy":"2022-01-06T20:07:01.291429Z","iopub.execute_input":"2022-01-06T20:07:01.292296Z","iopub.status.idle":"2022-01-06T20:07:01.303489Z","shell.execute_reply.started":"2022-01-06T20:07:01.292245Z","shell.execute_reply":"2022-01-06T20:07:01.302354Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"accuracy = accuracy_score(label_decode(label_encoder, y_test), pred_result, normalize=True)\nprint(\"Accuracy: %.2f%%\" % (accuracy * 100.0))","metadata":{"execution":{"iopub.status.busy":"2022-01-06T20:07:01.306930Z","iopub.execute_input":"2022-01-06T20:07:01.307333Z","iopub.status.idle":"2022-01-06T20:07:01.318859Z","shell.execute_reply.started":"2022-01-06T20:07:01.307290Z","shell.execute_reply":"2022-01-06T20:07:01.318031Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"ori_label = label_decode(label_encoder, y_test)\n","metadata":{"execution":{"iopub.status.busy":"2022-01-06T20:07:01.321505Z","iopub.execute_input":"2022-01-06T20:07:01.321989Z","iopub.status.idle":"2022-01-06T20:07:01.329843Z","shell.execute_reply.started":"2022-01-06T20:07:01.321950Z","shell.execute_reply":"2022-01-06T20:07:01.329159Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from sklearn.metrics import classification_report\nfrom sklearn.metrics import confusion_matrix\nfrom sklearn.metrics import plot_confusion_matrix\nfrom sklearn.svm import SVC\n\nprint(classification_report(ori_label, pred_result, target_names=X_punt.specialTeamsResult.unique()))\n\nprint(confusion_matrix(ori_label, pred_result))","metadata":{"execution":{"iopub.status.busy":"2022-01-06T20:07:01.331019Z","iopub.execute_input":"2022-01-06T20:07:01.331521Z","iopub.status.idle":"2022-01-06T20:07:01.356522Z","shell.execute_reply.started":"2022-01-06T20:07:01.331488Z","shell.execute_reply":"2022-01-06T20:07:01.355269Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#Let's take a look at the training log\ntraining_log = pd.DataFrame()\ntraining_log = pd.read_csv(\"./training_log_w_gcn.csv\")\ntraining_log","metadata":{"execution":{"iopub.status.busy":"2022-01-06T20:07:01.357762Z","iopub.execute_input":"2022-01-06T20:07:01.358019Z","iopub.status.idle":"2022-01-06T20:07:01.380824Z","shell.execute_reply.started":"2022-01-06T20:07:01.357987Z","shell.execute_reply":"2022-01-06T20:07:01.379750Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import plotly.express as px\n\ntraining_log.plot(x=\"epoch\", y=['accuracy', 'val_accuracy'])\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-01-06T20:07:01.382403Z","iopub.execute_input":"2022-01-06T20:07:01.382804Z","iopub.status.idle":"2022-01-06T20:07:01.634740Z","shell.execute_reply.started":"2022-01-06T20:07:01.382758Z","shell.execute_reply":"2022-01-06T20:07:01.634109Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"training_log.plot(x=\"epoch\", y=['loss', 'val_loss'])\nplt.show()","metadata":{"scrolled":true,"execution":{"iopub.status.busy":"2022-01-06T20:07:01.635947Z","iopub.execute_input":"2022-01-06T20:07:01.636200Z","iopub.status.idle":"2022-01-06T20:07:01.858139Z","shell.execute_reply.started":"2022-01-06T20:07:01.636169Z","shell.execute_reply":"2022-01-06T20:07:01.857314Z"},"trusted":true},"execution_count":null,"outputs":[]}]}