{"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_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"#Импорт библиотек\nimport numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt\nfrom sklearn.svm import SVC, SVR, NuSVC\nfrom sklearn.decomposition import PCA\nfrom sklearn.model_selection import KFold\nfrom sklearn.model_selection import cross_val_score\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.metrics import accuracy_score","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2021-10-12T20:34:51.033909Z","iopub.execute_input":"2021-10-12T20:34:51.034223Z","iopub.status.idle":"2021-10-12T20:34:51.041515Z","shell.execute_reply.started":"2021-10-12T20:34:51.034194Z","shell.execute_reply":"2021-10-12T20:34:51.040591Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#Загрузка тренировочных и тестовых данных\ntrain= pd.read_csv('../input/digit-recognizer/train.csv')\ntest= pd.read_csv('../input/digit-recognizer/test.csv')\n#Просмотр тренировочных данных\ntrain","metadata":{"execution":{"iopub.status.busy":"2021-10-12T20:34:51.043289Z","iopub.execute_input":"2021-10-12T20:34:51.043534Z","iopub.status.idle":"2021-10-12T20:34:54.918901Z","shell.execute_reply.started":"2021-10-12T20:34:51.043508Z","shell.execute_reply":"2021-10-12T20:34:54.917892Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#Разделение целевых и нецелевых признаков\nlabels = train['label']\nfeatures = train.drop('label', axis='columns')","metadata":{"execution":{"iopub.status.busy":"2021-10-12T20:34:54.920291Z","iopub.execute_input":"2021-10-12T20:34:54.9206Z","iopub.status.idle":"2021-10-12T20:34:55.010098Z","shell.execute_reply.started":"2021-10-12T20:34:54.920573Z","shell.execute_reply":"2021-10-12T20:34:55.009084Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#Метод главных компонент (PCA) для уменьшения размерности (с целью предотвращения переобучения модели)\n#Суммарный процент дисперсии больше 97\npca = PCA().fit(features)\nsum_var = 0\nfor i, v in enumerate(pca.explained_variance_ratio_):\n    sum_var += v\n    if sum_var >= 0.97:\n        break\nprint(i)","metadata":{"execution":{"iopub.status.busy":"2021-10-12T20:34:55.011759Z","iopub.execute_input":"2021-10-12T20:34:55.012013Z","iopub.status.idle":"2021-10-12T20:35:00.228767Z","shell.execute_reply.started":"2021-10-12T20:34:55.011983Z","shell.execute_reply":"2021-10-12T20:35:00.227985Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#Экспериментальная оценка коэффициента C\n# pca = PCA(n_components=212)\n# X_train, X_test, y_train, y_test = train_test_split(features, labels, test_size=0.33, random_state=15)\n# X_train = pca.fit_transform(X_train)\n# X_test = pca.transform(X_test)\n# svr = SVC(kernel='poly', C = 10)\n# svr.fit(X_train, y_train)\n# y_pred = svr.predict(X_test)\n# print(accuracy_score(y_test, y_pred))","metadata":{"execution":{"iopub.status.busy":"2021-10-12T20:35:00.229967Z","iopub.execute_input":"2021-10-12T20:35:00.230198Z","iopub.status.idle":"2021-10-12T20:35:00.235147Z","shell.execute_reply.started":"2021-10-12T20:35:00.230171Z","shell.execute_reply":"2021-10-12T20:35:00.234572Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#Использование метода опорных векторов с ядром из полиномиальной функции\npca = PCA(n_components=212)\nX_train = pca.fit_transform(features)\nX_test = pca.transform(test)\nsvc = SVC(kernel='poly',C=10)\nsvc.fit(X_train, labels)\ny_pred = svc.predict(X_test)\npd.DataFrame({\n    \"ImageId\": range(1,len(y_pred)+1),\n    \"Label\": y_pred\n    }).to_csv('submission.csv', index=False, header=True)","metadata":{"execution":{"iopub.status.busy":"2021-10-12T20:35:00.236262Z","iopub.execute_input":"2021-10-12T20:35:00.236749Z","iopub.status.idle":"2021-10-12T20:39:07.78383Z","shell.execute_reply.started":"2021-10-12T20:35:00.236712Z","shell.execute_reply":"2021-10-12T20:39:07.782989Z"},"trusted":true},"execution_count":null,"outputs":[]}]}