{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true,"collapsed":true},"cell_type":"code","source":"import numpy as np\nimport pandas as pd\n\nimport sys\nimport os\nprint(os.listdir(\"../input\"))\n\n# machine learning\nfrom sklearn.linear_model import LogisticRegression\nfrom sklearn.svm import SVC, LinearSVC\nfrom sklearn.ensemble import RandomForestClassifier\nfrom sklearn.neighbors import KNeighborsClassifier\nfrom sklearn.naive_bayes import GaussianNB\nfrom sklearn.tree import DecisionTreeClassifier","execution_count":null,"outputs":[]},{"metadata":{"_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","collapsed":true,"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","trusted":true},"cell_type":"code","source":"train = pd.read_csv('../input/train.csv')\ntest = pd.read_csv('../input/test.csv')","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"collapsed":true,"_uuid":"71dfd45f48672fb47c862fa8aa2bef85a8534a1f"},"cell_type":"code","source":"X_train = train.drop(\"label\",axis=1)\nY_train = train[\"label\"]\nX_test  = test.copy()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"collapsed":true,"_uuid":"2f87e270b433b36fc6b45729153fae6acaeabe30"},"cell_type":"code","source":"from sklearn.preprocessing import StandardScaler\nscaler = StandardScaler()\n# Fit only to the training data\nscaler.fit(X_train)\nX_train = scaler.transform(X_train)\nscaler.fit(X_test)\nX_test = scaler.transform(X_test)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"6268154514c5c9853ceb93fd7d08b44e17706074","collapsed":true},"cell_type":"code","source":"clf_gini = DecisionTreeClassifier(criterion = \"entropy\",random_state = 100,max_depth=10, min_samples_leaf=5)\nclf_gini.fit(X_train, Y_train)\nY_pred = clf_gini.predict(X_test)\nclf_gini.score(X_train, Y_train)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"collapsed":true,"_uuid":"09922efa99bef2ee28ff19cc642980c5da48ffc9"},"cell_type":"code","source":"submission = pd.DataFrame({\n        \"ImageId\": list(range(1, len(Y_pred)+1)),\n        \"Label\": Y_pred\n    })\nsubmission.to_csv('submission.csv', index=False)","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"name":"python","version":"3.6.4","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat":4,"nbformat_minor":1}