{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"import numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\nfrom sklearn import metrics","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"df_sub = pd.read_csv(\"../input/aptos2019-blindness-detection/sample_submission.csv\")\ndf_tmp = pd.read_csv(\"../input/dr-submission/df_test_DR_Ensemble_ver5.csv\")\ndf_sub = pd.merge(df_sub[['id_code']], df_tmp[['id_code', 'pred_c']], on='id_code', how='left').fillna(0)\ndf_sub.columns = ['id_code', 'diagnosis']\ndf_sub[\"diagnosis\"] = df_sub[\"diagnosis\"].astype(int)\ndf_sub.to_csv(\"submission.csv\", index=None)\ndf_sub.head(30)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"name":"python","version":"3.6.4","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat":4,"nbformat_minor":1}