{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.12.13","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"none","dataSources":[],"dockerImageVersionId":28755,"isInternetEnabled":false,"language":"python","sourceType":"notebook","isGpuEnabled":false}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"Below is the leaderboard for the Efficiency Prize track of this competition. See the [**Efficiency Prize Evaluation**](https://www.kaggle.com/competitions/rsna-knee-abnormalities-detection/overview/efficiency-prize-evaluation) page for details on how this leaderboard was computed. We show only the top 100 teams here, but you may view the full `leaderboard.csv` file in the output data of this notebook for the rest.","metadata":{}},{"cell_type":"code","source":"import pandas as pd\n\npd.options.display.min_rows = 100\npd.options.display.max_rows = 100\n\nleaderboard = pd.read_csv('/kaggle/input/notebooks/ryanholbrook/rsna-knee-abnormalities-efficiency-data/leaderboard.csv', index_col='EfficiencyRank')\nleaderboard.to_csv('full_leaderboard.csv')\nleaderboard.head(100)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2026-07-28T14:23:34.317536Z","iopub.execute_input":"2026-07-28T14:23:34.31783Z","iopub.status.idle":"2026-07-28T14:23:35.543707Z","shell.execute_reply.started":"2026-07-28T14:23:34.317803Z","shell.execute_reply":"2026-07-28T14:23:35.542692Z"}},"outputs":[],"execution_count":null}]}