{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.10.13","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"none","dataSources":[{"sourceId":50160,"databundleVersionId":7921029,"sourceType":"competition"},{"sourceId":7834232,"sourceType":"datasetVersion","datasetId":4591856},{"sourceId":7938215,"sourceType":"datasetVersion","datasetId":4666816}],"dockerImageVersionId":30646,"isInternetEnabled":false,"language":"python","sourceType":"notebook","isGpuEnabled":false}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load\n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the read-only \"../input/\" directory\n# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n\ndf = pd.read_csv(\"/kaggle/input/predictions1/predictions (1).csv\")\n\nsubmission = pd.DataFrame({\n    \"case_id\": df[\"case_id\"].to_numpy(),\n    \"score\": df['predictions'].to_numpy()\n}).set_index('case_id')\nsubmission.to_csv(\"./submission.csv\")\n# df.to_csv('/kaggle/working/submission.csv', index = False)\n# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2024-03-25T13:19:25.202685Z","iopub.execute_input":"2024-03-25T13:19:25.203128Z","iopub.status.idle":"2024-03-25T13:19:25.218762Z","shell.execute_reply.started":"2024-03-25T13:19:25.203097Z","shell.execute_reply":"2024-03-25T13:19:25.217194Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]}