{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"!pip install -q efficientnet\n\nimport os\nimport re\nimport numpy as np\nimport pandas as pd\nimport random\nimport math\nimport time\nimport matplotlib.pyplot as plt\n\nfrom sklearn import metrics\nfrom sklearn.model_selection import KFold, StratifiedKFold\nimport tensorflow as tf\nfrom kaggle_datasets import KaggleDatasets\nimport efficientnet.tfkeras as efn\nimport dill\nfrom tensorflow.keras import backend as K\n\nimport warnings\nwarnings.filterwarnings('ignore')","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"sub0 = pd.read_csv('/kaggle/input/melanoma-classification-weights/submission_fold0.csv')\nsub0.sort_values(['image_name'], inplace=True)\nsub0","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"sub1 = pd.read_csv('/kaggle/input/melanoma-classification-weights/submission_fold1.csv')\nsub1.sort_values(['image_name'], inplace=True)\nsub1","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"sub2 = pd.read_csv('/kaggle/input/melanoma-classification-weights/submission_fold2.csv')\nsub2.sort_values(['image_name'], inplace=True)\nsub2","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"sub3 = pd.read_csv('/kaggle/input/melanoma-classification-weights/submission_fold3.csv')\nsub3.sort_values(['image_name'], inplace=True)\nsub3","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"sub4 = pd.read_csv('/kaggle/input/melanoma-classification-weights/submission_fold4.csv')\nsub4.sort_values(['image_name'], inplace=True)\nsub4","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"sub = sub0.copy()\nsub['target'] = (sub0['target']+sub1['target']+sub2['target']+sub3['target']+sub4['target'])/5\nsub","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"print('Generating submission file...')\nsub.to_csv('submission_fold_ensemble.csv', index=False)","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}