{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true,"collapsed":true},"cell_type":"code","source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load in \n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the \"../input/\" directory.\n# For example, running this (by clicking run or pressing Shift+Enter) will list the files in the input directory\n\nimport os\nprint(os.listdir(\"../input/\"))\n\n# Any results you write to the current directory are saved as output.","execution_count":null,"outputs":[]},{"metadata":{"_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","trusted":true,"collapsed":true},"cell_type":"code","source":"print(os.listdir(\"../input/avito-best-public-blend\"))\nprint(os.listdir(\"../input/avito-demand-prediction\"))","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"collapsed":true,"_uuid":"90b56886ab6e517074cd1996bc347be5a9918b86"},"cell_type":"code","source":"tr = pd.read_csv('../input/avito-demand-prediction/train.csv')\nsub =  pd.read_csv('../input/avito-best-public-blend/best_public_blend.csv')","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"collapsed":true,"_uuid":"e8ba496ad608b1e9942ce1463b0ddcae64c12ab2"},"cell_type":"code","source":"from sklearn.metrics import mean_squared_error","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"collapsed":true,"_uuid":"7990a2bebdd3c442a4a58bfbed0c194db92cd975"},"cell_type":"code","source":"allzeros = 0.3032 # publicLB","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"2e0f2f2947c23e0e1c39f6ba01e7facb20261ddb","collapsed":true},"cell_type":"code","source":"tr['allzero'] = 0\nnp.sqrt(mean_squared_error(tr.deal_probability, tr['allzero'] ))","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"88ea8ed9d26192bd8458cbb76052889804828e2b","collapsed":true},"cell_type":"code","source":"allzeros / 0.2949544182370951","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"collapsed":true,"_uuid":"29912a0f8c275869ba70a1ed30eb942f9ec5973c"},"cell_type":"code","source":"sub.deal_probability *= 1.03","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"collapsed":true,"_uuid":"7ea0b1b0c6388cdaed49b6474dff444973f49cab"},"cell_type":"code","source":"sub.to_csv('beat-the-best-kernel.csv', index=False)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"collapsed":true,"_uuid":"f6e20e3c986873e5ef5e92194a497a227087351c"},"cell_type":"code","source":"","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"name":"python","version":"3.6.5","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat":4,"nbformat_minor":1}