{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.10.14","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"none","dataSources":[{"sourceId":81933,"databundleVersionId":9643020,"sourceType":"competition"},{"sourceId":200372733,"sourceType":"kernelVersion"}],"dockerImageVersionId":30786,"isInternetEnabled":false,"language":"python","sourceType":"notebook","isGpuEnabled":false}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"# 0. Import libraries.","metadata":{}},{"cell_type":"code","source":"import pandas as pd\nimport warnings\nwarnings.filterwarnings('ignore')","metadata":{"execution":{"iopub.status.busy":"2024-10-13T06:01:39.329620Z","iopub.execute_input":"2024-10-13T06:01:39.330082Z","iopub.status.idle":"2024-10-13T06:01:39.335498Z","shell.execute_reply.started":"2024-10-13T06:01:39.330036Z","shell.execute_reply":"2024-10-13T06:01:39.334243Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# 1. Import data.","metadata":{}},{"cell_type":"code","source":"train_df = pd.read_csv('/kaggle/input/child-mind-institute-problematic-internet-use/train.csv')\ntest_df = pd.read_csv('/kaggle/input/child-mind-institute-problematic-internet-use/test.csv')","metadata":{"execution":{"iopub.status.busy":"2024-10-13T06:01:39.338102Z","iopub.execute_input":"2024-10-13T06:01:39.338585Z","iopub.status.idle":"2024-10-13T06:01:39.410164Z","shell.execute_reply.started":"2024-10-13T06:01:39.338528Z","shell.execute_reply":"2024-10-13T06:01:39.408762Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# 2. Feature selection.","metadata":{}},{"cell_type":"code","source":"selected_train = train_df.copy()\nselected_train = selected_train[['Basic_Demos-Enroll_Season', 'Basic_Demos-Age', 'Basic_Demos-Sex','sii']]\nselected_train","metadata":{"execution":{"iopub.status.busy":"2024-10-13T06:01:39.413123Z","iopub.execute_input":"2024-10-13T06:01:39.413533Z","iopub.status.idle":"2024-10-13T06:01:39.435743Z","shell.execute_reply.started":"2024-10-13T06:01:39.413491Z","shell.execute_reply":"2024-10-13T06:01:39.434108Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"selected_test = test_df.copy()\nselected_test = selected_test[['Basic_Demos-Enroll_Season', 'Basic_Demos-Age', 'Basic_Demos-Sex']]\nselected_test","metadata":{"execution":{"iopub.status.busy":"2024-10-13T06:01:39.437335Z","iopub.execute_input":"2024-10-13T06:01:39.437822Z","iopub.status.idle":"2024-10-13T06:01:39.458255Z","shell.execute_reply.started":"2024-10-13T06:01:39.437764Z","shell.execute_reply":"2024-10-13T06:01:39.456304Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# 3. Data preprocessing.","metadata":{}},{"cell_type":"code","source":"selected_train.fillna(0, inplace=True)\nselected_train = pd.get_dummies(selected_train, columns=['Basic_Demos-Enroll_Season'])\nselected_train['sii'] = selected_train.pop('sii')\nselected_train","metadata":{"execution":{"iopub.status.busy":"2024-10-13T06:01:39.462498Z","iopub.execute_input":"2024-10-13T06:01:39.463085Z","iopub.status.idle":"2024-10-13T06:01:39.499693Z","shell.execute_reply.started":"2024-10-13T06:01:39.463025Z","shell.execute_reply":"2024-10-13T06:01:39.498044Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"selected_test.fillna(0, inplace=True)\nselected_test = pd.get_dummies(selected_test, columns=['Basic_Demos-Enroll_Season'])\nselected_test","metadata":{"execution":{"iopub.status.busy":"2024-10-13T06:01:39.501062Z","iopub.execute_input":"2024-10-13T06:01:39.501470Z","iopub.status.idle":"2024-10-13T06:01:39.523806Z","shell.execute_reply.started":"2024-10-13T06:01:39.501426Z","shell.execute_reply":"2024-10-13T06:01:39.522320Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# 4. Model training.","metadata":{}},{"cell_type":"code","source":"from sklearn.model_selection import train_test_split\nfrom sklearn.preprocessing import MinMaxScaler\nfrom sklearn.linear_model import LogisticRegression\nfrom sklearn.metrics import accuracy_score, classification_report\n\nX = selected_train.drop(columns=['sii'])  \ny = selected_train['sii']  \n\nscaler = MinMaxScaler()\nX = scaler.fit_transform(X)\n\nX_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)\n\nmodel = LogisticRegression()\n\nmodel.fit(X_train, y_train)\n\ny_pred = model.predict(X_test)","metadata":{"execution":{"iopub.status.busy":"2024-10-13T06:01:39.525994Z","iopub.execute_input":"2024-10-13T06:01:39.526511Z","iopub.status.idle":"2024-10-13T06:01:39.603574Z","shell.execute_reply.started":"2024-10-13T06:01:39.526452Z","shell.execute_reply":"2024-10-13T06:01:39.601941Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# 5. Evaluation.","metadata":{}},{"cell_type":"code","source":"accuracy = accuracy_score(y_test, y_pred)\nreport = classification_report(y_test, y_pred)\n\nprint(f\"Precisión: {accuracy}\")\nprint(\"Reporte de clasificación:\")\nprint(report)","metadata":{"execution":{"iopub.status.busy":"2024-10-13T06:01:39.605123Z","iopub.execute_input":"2024-10-13T06:01:39.605519Z","iopub.status.idle":"2024-10-13T06:01:39.627830Z","shell.execute_reply.started":"2024-10-13T06:01:39.605477Z","shell.execute_reply":"2024-10-13T06:01:39.626239Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# 6. Model output.","metadata":{}},{"cell_type":"code","source":"predictions = model.predict(selected_test).astype(int)\n\npredictions_df = pd.DataFrame({\n    'id': test_df['id'],  \n    'sii': predictions  \n})\n\npredictions_df","metadata":{"execution":{"iopub.status.busy":"2024-10-13T06:14:08.591355Z","iopub.execute_input":"2024-10-13T06:14:08.591770Z","iopub.status.idle":"2024-10-13T06:14:08.607585Z","shell.execute_reply.started":"2024-10-13T06:14:08.591727Z","shell.execute_reply":"2024-10-13T06:14:08.606376Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"predictions_df.to_csv('/kaggle/working/submission.csv', index=False)","metadata":{"execution":{"iopub.status.busy":"2024-10-13T06:11:04.377479Z","iopub.execute_input":"2024-10-13T06:11:04.377970Z","iopub.status.idle":"2024-10-13T06:11:04.385759Z","shell.execute_reply.started":"2024-10-13T06:11:04.377915Z","shell.execute_reply":"2024-10-13T06:11:04.384428Z"},"trusted":true},"execution_count":null,"outputs":[]}]}