{"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":"Dataset being imbalanced, we try to predict the majority class to see what we can reach as a simple baseline.","metadata":{}},{"cell_type":"code","source":"import pandas as pd\n\npath_data = '/kaggle/input/ext-market/'\n\npd.read_csv('/kaggle/input/ext-market/train/train.csv', usecols=['result']).result.value_counts()","metadata":{"execution":{"iopub.status.busy":"2023-06-27T10:05:44.300426Z","iopub.execute_input":"2023-06-27T10:05:44.300830Z","iopub.status.idle":"2023-06-27T10:05:58.635528Z","shell.execute_reply.started":"2023-06-27T10:05:44.300802Z","shell.execute_reply":"2023-06-27T10:05:58.634305Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"sub = pd.read_csv(path_data+'sample_submission.csv')\nsub['result'] = 0\nsub.to_csv('submission.csv',index=False)","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"execution_count":null,"outputs":[]}]}