{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"markdown","source":"# The example of calculating Row-Wise Micro Averaged F1 Score using the Evaluation library\nhttps://github.com/yisaienkov/evaluations   \nhttps://evaluations.readthedocs.io/en/latest/","execution_count":null},{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":true},"cell_type":"code","source":"# Internet ON.\n\n# !pip install -U pip\n# !pip install evaluations\n\n\n# Internet OFF. You need to add evaluations dataset (see input folders).\n\n!pip install --no-deps '../input/evaluations/'","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"from evaluations.kaggle_2020 import row_wise_micro_averaged_f1_score","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"### Simple examples","execution_count":null},{"metadata":{"trusted":true},"cell_type":"code","source":"y_true = [\n    'amecro',\n    'amecro amerob',\n    'nocall',\n]\ny_pred = [\n    'amecro',\n    'amecro amerob',\n    'nocall',\n]\nrow_wise_micro_averaged_f1_score(y_true, y_pred)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"y_true = [\n    'amecro',\n    'amecro amerob',\n    'nocall',\n]\ny_pred = [\n    'amecro',\n    'amecro bird666',\n    'nocall',\n]\nrow_wise_micro_averaged_f1_score(y_true, y_pred)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"y_true = [\n    'bird1 bird2 bird3 bird4',\n    'bird1 bird2 bird3 bird4',\n    'bird1 bird2 bird3 bird4',\n]\ny_pred = [\n    'bird1 bird2 bird3 bird4',\n    'bird6 bird7',\n    'bird2 bird3 bird6 bird7',\n]\nrow_wise_micro_averaged_f1_score(y_true, y_pred)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"","execution_count":null,"outputs":[]}],"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":4,"nbformat_minor":4}