{"cells":[{"metadata":{},"cell_type":"markdown","source":"I blend outputs from :\n\n<a href=\"https://www.kaggle.com/solomonk/minmax-ensemble-0-9526-lb\">MinMax Ensemble (0.9526 LB)</a>\n\n<a href=\"https://www.kaggle.com/truonghoang/stacking-ensemble-on-my-submissions\">Stacking, Ensemble on my submissions</a>\n\n<a href=\"https://www.kaggle.com/datafan07/analysis-of-melanoma-metadata-and-effnet-ensemble\">Analysis of Melanoma Metadata and EffNet Ensemble</a>\n\n<a href=\"https://www.kaggle.com/kmldas/new-basline-np-log2-ensemble-top-10\">New Basline np.log2 Ensemble (top 10%)</a>","execution_count":null},{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"import numpy as np\nimport pandas as pd","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":true},"cell_type":"code","source":"data1 = pd.read_csv('../input/minmax-ensemble-0-9526-lb/submission.csv')\n\ndata2 = pd.read_csv('../input/stacking-ensemble-on-my-submissions/submission_mean.csv')\n\ndata3 = pd.read_csv('../input/stacking-ensemble-on-my-submissions/submission_median.csv')\n\ndata4 = pd.read_csv('../input/analysis-of-melanoma-metadata-and-effnet-ensemble/ensembled.csv')\n\ndata5 = pd.read_csv('../input/new-basline-np-log2-ensemble-top-10/submission.csv')\n\nsubmission = data1.copy()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"submission['target'] = 2/6 * data1['target'] + 1/6 * data2['target'] + 1/6 * data3['target'] + 1/6 * data4['target'] + 1/6 * data5['target']","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"submission.to_csv('submission.csv', index=False, float_format='%.6f')","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}