{"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":"code","source":"import pandas as pd\nfrom sklearn.ensemble import RandomForestClassifier\nimport numpy as np\nimport lightgbm as ltb\n\ntrain_df = pd.read_csv('/kaggle/input/emsi-5iir-ds/train.csv')\n\ntest_df = pd.read_csv('/kaggle/input/emsi-5iir-ds/test.csv')\n\nX_train = train_df.drop(columns=['id','f_27','target'])\n\ny_train = train_df['target']\n\nclf = ltb.LGBMClassifier()\n\nclf.fit(X_train, y_train)\n\ny_pred = clf.predict(test_df.drop(columns=['id','f_27']))\n\ndf_sub = pd.DataFrame({'id':test_df['id'],'target':y_pred})\n\ndf_sub.to_csv('/kaggle/working/sub1.csv',index=False)","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2023-01-07T14:01:02.943207Z","iopub.execute_input":"2023-01-07T14:01:02.944002Z","iopub.status.idle":"2023-01-07T14:01:56.994631Z","shell.execute_reply.started":"2023-01-07T14:01:02.943870Z","shell.execute_reply":"2023-01-07T14:01:56.993400Z"},"trusted":true},"execution_count":null,"outputs":[]}]}