{"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"name":"python","version":"3.11.13","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"none","dataSources":[{"sourceId":20270,"databundleVersionId":1222630,"sourceType":"competition"},{"sourceId":25383,"databundleVersionId":2684322,"sourceType":"competition"}],"dockerImageVersionId":31153,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":false},"papermill":{"default_parameters":{},"duration":10.826145,"end_time":"2025-10-11T12:44:34.833831","environment_variables":{},"exception":null,"input_path":"__notebook__.ipynb","output_path":"__notebook__.ipynb","parameters":{},"start_time":"2025-10-11T12:44:24.007686","version":"2.3.3"}},"nbformat_minor":4,"nbformat":4,"cells":[{"id":"cea2e099","cell_type":"code","source":"import numpy as np\nimport pandas as pd\n\nfrom sklearn import datasets\nfrom sklearn import model_selection","metadata":{"_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","execution":{"iopub.status.busy":"2025-10-11T18:10:12.188983Z","iopub.execute_input":"2025-10-11T18:10:12.189270Z","iopub.status.idle":"2025-10-11T18:10:15.805129Z","shell.execute_reply.started":"2025-10-11T18:10:12.189245Z","shell.execute_reply":"2025-10-11T18:10:15.804143Z"},"papermill":{"duration":1.042541,"end_time":"2025-10-11T12:44:32.945117","exception":false,"start_time":"2025-10-11T12:44:31.902576","status":"completed"},"tags":[],"trusted":true},"outputs":[],"execution_count":null},{"id":"3c0a707c","cell_type":"code","source":"def create_folds(data, num_splits):\n    data[\"kfold\"] = -1\n    num_bins = int(np.floor(1 + np.log2(len(data))))\n    print('num_bins: ',num_bins)\n\n    data.loc[:, \"bins\"] = pd.cut(data[\"target\"], bins=num_bins, labels=False)\n\n    kf = model_selection.StratifiedKFold(n_splits=num_splits, shuffle=True, random_state=42)\n    \n    for f, (t_, v_) in enumerate(kf.split(X=data, y=data.bins.values)):\n        data.loc[v_, 'kfold'] = f\n#     print(data.head())\n    data = data.drop(\"bins\", axis=1)\n\n    return data","metadata":{"execution":{"iopub.status.busy":"2025-10-11T18:10:15.807514Z","iopub.execute_input":"2025-10-11T18:10:15.808073Z","iopub.status.idle":"2025-10-11T18:10:15.814723Z","shell.execute_reply.started":"2025-10-11T18:10:15.808042Z","shell.execute_reply":"2025-10-11T18:10:15.813562Z"},"papermill":{"duration":0.013993,"end_time":"2025-10-11T12:44:32.963931","exception":false,"start_time":"2025-10-11T12:44:32.949938","status":"completed"},"tags":[],"trusted":true},"outputs":[],"execution_count":null},{"id":"a42da9d5","cell_type":"code","source":"df = pd.read_csv(\"/kaggle/input/siim-isic-melanoma-classification/train.csv\")\n\ndf_5 = create_folds(df, num_splits=5)\ndf_10 = create_folds(df, num_splits=10)","metadata":{"execution":{"iopub.status.busy":"2025-10-11T18:10:15.815594Z","iopub.execute_input":"2025-10-11T18:10:15.815873Z","iopub.status.idle":"2025-10-11T18:10:16.003646Z","shell.execute_reply.started":"2025-10-11T18:10:15.815847Z","shell.execute_reply":"2025-10-11T18:10:16.002165Z"},"papermill":{"duration":0.145694,"end_time":"2025-10-11T12:44:33.113974","exception":false,"start_time":"2025-10-11T12:44:32.968280","status":"completed"},"tags":[],"trusted":true},"outputs":[],"execution_count":null},{"id":"40363bc3","cell_type":"code","source":"df_5.to_csv(\"train_5folds.csv\", index=False)\ndf_10.to_csv(\"train_10folds.csv\", index=False)","metadata":{"execution":{"iopub.status.busy":"2025-10-11T18:10:16.005143Z","iopub.execute_input":"2025-10-11T18:10:16.005802Z","iopub.status.idle":"2025-10-11T18:10:16.214054Z","shell.execute_reply.started":"2025-10-11T18:10:16.005762Z","shell.execute_reply":"2025-10-11T18:10:16.212844Z"},"papermill":{"duration":0.24599,"end_time":"2025-10-11T12:44:33.364908","exception":false,"start_time":"2025-10-11T12:44:33.118918","status":"completed"},"tags":[],"trusted":true},"outputs":[],"execution_count":null},{"id":"5e7b42ca","cell_type":"code","source":"","metadata":{"papermill":{"duration":0.0059,"end_time":"2025-10-11T12:44:33.375549","exception":false,"start_time":"2025-10-11T12:44:33.369649","status":"completed"},"tags":[],"trusted":true},"outputs":[],"execution_count":null}]}