{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":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.\ntrain=pd.read_csv(\"../input/train.csv\")\ntest=pd.read_csv(\"../input/test.csv\")\nsample_submission=pd.read_csv(\"../input/sample_submission.csv\")","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"abb248d79899e2b9102c810daba08bd490ad2f0f"},"cell_type":"code","source":"from sklearn.tree import DecisionTreeClassifier\nfrom sklearn.ensemble import RandomForestClassifier\nfrom sklearn.ensemble import AdaBoostClassifier\nfrom sklearn.neighbors import KNeighborsClassifier\n\nfrom sklearn.model_selection import train_test_split\n\n\nfrom sklearn.metrics import accuracy_score\nfrom sklearn.metrics import classification_report","execution_count":null,"outputs":[]},{"metadata":{"_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","trusted":true},"cell_type":"code","source":"train.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"0d568aa22a2177a99cd0e29699d74e051d3df9b6"},"cell_type":"code","source":"test.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"bbbbbf1dbb60b1f0af71534a34cde712504b2933"},"cell_type":"code","source":"print(train.shape,test.shape)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"04a091d5c8cd81cc706ffbd63eac1747f5cd59fa"},"cell_type":"code","source":"a=train.iloc[:,1:]\nb=train.iloc[:,0]","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"c0e9d73ce9384b1c1a2ee3ad5e1a3462dbbb224b"},"cell_type":"code","source":"a.head()\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"5a30c21a8e9dcccc8e4120f7ad58afb29d5b0f5a"},"cell_type":"code","source":"b.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"e9ab114ffc5a021d0ed02670b39389c27ae63569"},"cell_type":"code","source":"\nfrom sklearn.model_selection import train_test_split\ntrain1,validate = train_test_split(train,test_size=0.3,random_state=100)\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"efaf6a7ce84b363e4da5bbe768236716598237fc"},"cell_type":"code","source":"train1.shape","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"fd0c62662868faf887f1a5da9a1694acf241c461"},"cell_type":"code","source":"validate.shape","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"8d065f23a05551df15ffdd60ade407940239e3b5"},"cell_type":"code","source":"from sklearn.tree import DecisionTreeClassifier\nmodel_dt=DecisionTreeClassifier(random_state=100,max_depth=5)\ntrain_x=train1.drop('label',axis=1)\ntest_x=validate.drop('label',axis=1)\ntrain_y=train1['label']\ntest_y=validate['label']\nmodel_dt.fit(train_x,train_y)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"3dbc7e33b275b81abeb73d9d6e41fcee2d452ca8","scrolled":true},"cell_type":"code","source":"pred_dec = model_dt.predict(test_x)\n\naccuracy_dec = accuracy_score(pred_dec,test_y)\nprint(accuracy_dec)\n\nclass_report_dec = classification_report(pred_dec,test_y)\nprint(class_report_dec)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"2211c4aed5aafa6f325528c32b72f62938aa4aa5"},"cell_type":"code","source":"##random forest\nmodel_random = RandomForestClassifier(random_state = 100, n_estimators = 300)\nmodel_random.fit(train_x,train_y)\npred_random = model_random.predict(test_x)\n\naccuracy_random = accuracy_score(pred_random,test_y)\nprint(accuracy_random)\n\nclass_report_random = classification_report(pred_random,test_y)\nprint(class_report_random)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"232f3cf37c4e08f900715c0de6b3d46c7596fa60"},"cell_type":"code","source":"##adaboost\nmodel_ada = AdaBoostClassifier()\nmodel_ada.fit(train_x,train_y)\npred_ada = model_ada.predict(test_x)\n\naccuracy_ada = accuracy_score(pred_ada, test_y)\nprint(accuracy_ada)\nclass_report_ada = classification_report(pred_ada,test_y)\nprint(class_report_ada)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"66221ec2731e22d78df84765d8e9b8c47ac22e5a"},"cell_type":"code","source":"df=pd.DataFrame(columns=['DECISION TREE','RANDOM FOREST','ADA BOOST'],index=['ACCURACY'])\ndf","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"11022e0d398e08c8b956ae25383efc516f3ab0a0"},"cell_type":"code","source":"df['DECISION TREE']['ACCURACY']=accuracy_dec\ndf['RANDOM FOREST']['ACCURACY']=accuracy_random\ndf['ADA BOOST']['ACCURACY']=accuracy_ada\ndf","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"8719940096228089851d93988a5222ea963d6501"},"cell_type":"code","source":"###best accuracy comes from random forest using random forest for prediction","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"de891840aac36a5c2d6add5960e0c98e07c283a8"},"cell_type":"code","source":"model_random = RandomForestClassifier(random_state=100,n_estimators=300)\nmodel_random.fit(train_x,train_y)\npred = model_random.predict(test)\n\ndf = pd.DataFrame({'Label':pred})\ndf['ImageId'] = test.index+1\ndf[['ImageId','Label']].to_csv('Submission_File.csv',index=False)\ndf.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"2914c9c9f0322ff73ed49d33ea8510d2473989eb"},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"c7479ac06c1ff88979b97d94a3c734d2575e5135"},"cell_type":"code","source":"","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"name":"python","version":"3.6.6","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat":4,"nbformat_minor":1}