just-the-basics-strata-2013-after-party.ipynb

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pd.read_csv('../input/just-the-basics-the-after-party/train.csv')\ntest = pd.read_csv('../input/just-the-basics-the-after-party/test.csv')\ny = pd.read_csv('../input/just-the-basics-the-after-party/train_labels.csv')","metadata":{"execution":{"iopub.status.busy":"2021-12-29T12:43:13.839112Z","iopub.execute_input":"2021-12-29T12:43:13.839705Z","iopub.status.idle":"2021-12-29T12:43:14.041518Z","shell.execute_reply.started":"2021-12-29T12:43:13.839667Z","shell.execute_reply":"2021-12-29T12:43:14.040364Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train.head()","metadata":{"execution":{"iopub.status.busy":"2021-12-29T12:43:37.301046Z","iopub.execute_input":"2021-12-29T12:43:37.301396Z","iopub.status.idle":"2021-12-29T12:43:37.340038Z","shell.execute_reply.started":"2021-12-29T12:43:37.301363Z","shell.execute_reply":"2021-12-29T12:43:37.339136Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"col = list(range(0,100))\ntrain.columns = [col]\ntest.columns = [col]","metadata":{"execution":{"iopub.status.busy":"2021-12-29T12:43:45.029989Z","iopub.execute_input":"2021-12-29T12:43:45.030643Z","iopub.status.idle":"2021-12-29T12:43:45.044989Z","shell.execute_reply.started":"2021-12-29T12:43:45.030588Z","shell.execute_reply":"2021-12-29T12:43:45.043931Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train.head()","metadata":{"execution":{"iopub.status.busy":"2021-12-29T12:43:58.672412Z","iopub.execute_input":"2021-12-29T12:43:58.673077Z","iopub.status.idle":"2021-12-29T12:43:58.711315Z","shell.execute_reply.started":"2021-12-29T12:43:58.67302Z","shell.execute_reply":"2021-12-29T12:43:58.710583Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train.info()","metadata":{"execution":{"iopub.status.busy":"2021-12-29T12:43:48.160848Z","iopub.execute_input":"2021-12-29T12:43:48.161174Z","iopub.status.idle":"2021-12-29T12:43:48.211843Z","shell.execute_reply.started":"2021-12-29T12:43:48.16114Z","shell.execute_reply":"2021-12-29T12:43:48.210906Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"for i in col:\n    train[i,].fillna(train[i,].median(), inplace=True)\nfor i in col:\n    test[i,].fillna(test[i,].median(),inplace=True)\n","metadata":{"execution":{"iopub.status.busy":"2021-12-29T12:44:17.491495Z","iopub.execute_input":"2021-12-29T12:44:17.492009Z","iopub.status.idle":"2021-12-29T12:44:17.613389Z","shell.execute_reply.started":"2021-12-29T12:44:17.491969Z","shell.execute_reply":"2021-12-29T12:44:17.611942Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{"execution":{"iopub.status.busy":"2021-12-27T05:33:23.881429Z","iopub.execute_input":"2021-12-27T05:33:23.881737Z","iopub.status.idle":"2021-12-27T05:33:23.887114Z","shell.execute_reply.started":"2021-12-27T05:33:23.881704Z","shell.execute_reply":"2021-12-27T05:33:23.886199Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train.describe()","metadata":{"execution":{"iopub.status.busy":"2021-12-29T12:44:22.384575Z","iopub.execute_input":"2021-12-29T12:44:22.385025Z","iopub.status.idle":"2021-12-29T12:44:22.635886Z","shell.execute_reply.started":"2021-12-29T12:44:22.384981Z","shell.execute_reply":"2021-12-29T12:44:22.635191Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import matplotlib.pyplot as plt\nimport seaborn as sns\n\nfor column in train:\n        plt.figure(figsize=(10,1))\n        sns.boxplot(data=train, x=column)","metadata":{"execution":{"iopub.status.busy":"2021-12-29T12:44:26.064094Z","iopub.execute_input":"2021-12-29T12:44:26.064404Z","iopub.status.idle":"2021-12-29T12:44:40.604231Z","shell.execute_reply.started":"2021-12-29T12:44:26.064372Z","shell.execute_reply":"2021-12-29T12:44:40.603073Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from sklearn.ensemble import RandomForestClassifier\nfrom sklearn.svm import LinearSVC\nfrom sklearn.linear_model import LogisticRegression\nfrom sklearn.preprocessing import StandardScaler\nfrom sklearn.pipeline import make_pipeline\nfrom sklearn.ensemble import StackingClassifier","metadata":{},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"estimators = [\n('rf', RandomForestClassifier(n_estimators=10, random_state=42)),\n('svr', make_pipeline(StandardScaler(),\n LinearSVC(random_state=42)))\n]\nclf = StackingClassifier(\n     estimators=estimators, final_estimator=LogisticRegression()\n )\nfrom sklearn.model_selection import train_test_split\nX_train, X_test, y_train, y_test = train_test_split(\n    train, y, stratify=y, random_state=42\n )\nclf.fit(X_train, y_train).score(X_test, y_test)","metadata":{"execution":{"iopub.status.busy":"2021-12-27T05:52:10.15585Z","iopub.execute_input":"2021-12-27T05:52:10.15623Z","iopub.status.idle":"2021-12-27T05:52:10.683225Z","shell.execute_reply.started":"2021-12-27T05:52:10.156192Z","shell.execute_reply":"2021-12-27T05:52:10.682294Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"ans=clf.predict(test)\n\nf=open(\"/kaggle/working/answers.csv\", \"w\")\nf.write(str(ans))\nf.close()","metadata":{"execution":{"iopub.status.busy":"2021-12-27T06:02:03.784629Z","iopub.execute_input":"2021-12-27T06:02:03.785201Z","iopub.status.idle":"2021-12-27T06:02:03.812178Z","shell.execute_reply.started":"2021-12-27T06:02:03.78516Z","shell.execute_reply":"2021-12-27T06:02:03.811041Z"},"trusted":true},"execution_count":null,"outputs":[]}]}