{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","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":"nvidiaTeslaT4","dataSources":[{"sourceId":116062,"databundleVersionId":14875579,"sourceType":"competition"},{"sourceId":14330065,"sourceType":"datasetVersion","datasetId":9148698}],"dockerImageVersionId":31240,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":true}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"\"\"\"\nSet the pre active results\n\"\"\"\n\nimport pandas as pd\n\nprint(\"Loading saved submission...\")\n\n# Load saved file\ndf = pd.read_csv('/kaggle/input/cafa-set/submission.tsv',\n                 sep='\\t', header=None,\n                 names=['protein', 'go_term', 'score'])\n\nprint(f\"Loaded: {len(df):,} predictions\")\n\n# Submission (no changes)\ndf.to_csv('submission.tsv', sep='\\t', index=False, header=False)\n\nprint(\"✓ Submission ready\")","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-12-29T09:52:52.600186Z","iopub.execute_input":"2025-12-29T09:52:52.600460Z","iopub.status.idle":"2025-12-29T09:55:03.507915Z","shell.execute_reply.started":"2025-12-29T09:52:52.600436Z","shell.execute_reply":"2025-12-29T09:55:03.507253Z"}},"outputs":[],"execution_count":null}]}