{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"import os\nimport gc\nimport numpy as np\nimport pandas as pd\nfrom sklearn.metrics import roc_auc_score","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"!ls ../input/ranzcr-clip-catheter-line-classification","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Load train and test as DataFrames"},{"metadata":{"trusted":true},"cell_type":"code","source":"train = pd.read_csv('../input/ranzcr-clip-catheter-line-classification/train.csv')\ntest = pd.read_csv('../input/ranzcr-clip-catheter-line-classification/sample_submission.csv')\nprint(train.shape)\nprint(test.shape)\ntrain.head(10)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Check distribution of labels in train"},{"metadata":{"trusted":true},"cell_type":"code","source":"train.mean()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"TARGET = []\nPREDICTION = []\nfor target in train.columns[1:-1]:\n    TARGET.extend( train[target].values )\n    PREDICTION.extend( list(np.ones(train.shape[0])*train[target].mean()) )\n\nprint( 'Baseline Score:', roc_auc_score( TARGET, PREDICTION ) )","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Write train target mean average to each test label"},{"metadata":{"trusted":true},"cell_type":"code","source":"for target in train.columns[1:-1]:\n    print(target)\n    test[target] = train[target].mean()\n    \ntest.head()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Submit"},{"metadata":{"trusted":true},"cell_type":"code","source":"test.to_csv('submission.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}