{"cells":[{"cell_type":"code","execution_count":null,"metadata":{"collapsed":false},"outputs":[],"source":"import numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\nimport sys\nfrom sklearn.tree import DecisionTreeClassifier\nfrom sklearn.ensemble import RandomForestClassifier, BaggingClassifier\nfrom sklearn.metrics import accuracy_score\ntrain_cols = ['site_name', 'user_location_region', 'is_package', 'srch_adults_cnt', 'srch_children_cnt', 'srch_destination_id', 'hotel_market', 'hotel_country', 'hotel_cluster']\ntrain = pd.DataFrame(columns=train_cols)\ntrain_chunk = pd.read_csv('../input/train.csv', chunksize=100000)\n\nfor chunk in train_chunk:\n    train = pd.concat( [ train, chunk[chunk['is_booking']==1][train_cols] ] )"},{"cell_type":"code","execution_count":null,"metadata":{"collapsed":false},"outputs":[],"source":"train.head()"},{"cell_type":"code","execution_count":null,"metadata":{"collapsed":false},"outputs":[],"source":""}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"}},"nbformat":4,"nbformat_minor":0}