{"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":"markdown","source":"# \n\n# model debugging\none of steps, is to measure if data/features can predict the labels in the new model\n\n# \n![feature.importance.png](attachment:fab726a8-da29-44aa-806b-3ab3821a7b04.png)\n\n# \n\n# goal\nof this notebook is build a simple [random forest] model to evaluate the **features [importance]** and **[correlation]** , in other words the **predictive power** of a set of features\n\n# why\none of steps to debug model\n\n# how\nuse sklearn RandomForestRegressor, permutation_importance\n\n# 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"}}},{"cell_type":"code","source":"DEBUG = False\nROWSTOLOAD = 100000","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:31.489034Z","iopub.execute_input":"2023-04-13T23:34:31.490388Z","iopub.status.idle":"2023-04-13T23:34:31.519317Z","shell.execute_reply.started":"2023-04-13T23:34:31.490325Z","shell.execute_reply":"2023-04-13T23:34:31.518201Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"helper function to track memory usage","metadata":{}},{"cell_type":"code","source":"   import os\n   import math\n   import sys\n   from datetime import datetime\n   import psutil  \n   import numpy as np\n \n   def sys_stats():\n      pid = os.getpid()\n      ps = psutil.Process(pid)\n      memory_usage = ps.memory_info()[0] / 2. ** 30\n      log.info(f'{datetime.now()}  memory usage GB:' + str(np.round(memory_usage, 2)))","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:31.521304Z","iopub.execute_input":"2023-04-13T23:34:31.521932Z","iopub.status.idle":"2023-04-13T23:34:31.528013Z","shell.execute_reply.started":"2023-04-13T23:34:31.521894Z","shell.execute_reply":"2023-04-13T23:34:31.527126Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# setup logging","metadata":{}},{"cell_type":"code","source":"import logging\nimport sys\n\n#log = logging.getLogger(\"gpt\")\nlog = logging.getLogger('')\nlog.setLevel(logging.DEBUG)\ncv = logging.StreamHandler(sys.stdout)\nif (log.hasHandlers()):\n    log.handlers.clear()\nlog.addHandler(cv)\nlog.propagate = False","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:31.529684Z","iopub.execute_input":"2023-04-13T23:34:31.530414Z","iopub.status.idle":"2023-04-13T23:34:31.540324Z","shell.execute_reply.started":"2023-04-13T23:34:31.530345Z","shell.execute_reply":"2023-04-13T23:34:31.539187Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import pandas as pd\nimport gc","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:31.542684Z","iopub.execute_input":"2023-04-13T23:34:31.543514Z","iopub.status.idle":"2023-04-13T23:34:31.551488Z","shell.execute_reply.started":"2023-04-13T23:34:31.543470Z","shell.execute_reply":"2023-04-13T23:34:31.550489Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"base_path = '/kaggle/input/predict-student-performance-from-game-play'\n","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:31.552988Z","iopub.execute_input":"2023-04-13T23:34:31.553610Z","iopub.status.idle":"2023-04-13T23:34:31.563348Z","shell.execute_reply.started":"2023-04-13T23:34:31.553567Z","shell.execute_reply":"2023-04-13T23:34:31.562186Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_data_header = pd.read_csv(f'{base_path}/train.csv', index_col=0, nrows=0).reset_index().columns.tolist()","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:31.564835Z","iopub.execute_input":"2023-04-13T23:34:31.565551Z","iopub.status.idle":"2023-04-13T23:34:31.608791Z","shell.execute_reply.started":"2023-04-13T23:34:31.565510Z","shell.execute_reply":"2023-04-13T23:34:31.607743Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_data_header","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:31.610252Z","iopub.execute_input":"2023-04-13T23:34:31.610797Z","iopub.status.idle":"2023-04-13T23:34:31.618831Z","shell.execute_reply.started":"2023-04-13T23:34:31.610760Z","shell.execute_reply":"2023-04-13T23:34:31.617939Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# load the columns needed","metadata":{}},{"cell_type":"code","source":"train_cols = [\n 'index',   \n 'session_id',\n 'elapsed_time',\n #'text',   \n 'event_name',\n #'name',\n 'level',\n 'level_group']","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:31.620312Z","iopub.execute_input":"2023-04-13T23:34:31.620861Z","iopub.status.idle":"2023-04-13T23:34:31.629085Z","shell.execute_reply.started":"2023-04-13T23:34:31.620825Z","shell.execute_reply":"2023-04-13T23:34:31.627974Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"%%time\ntrain_data = pd.read_csv(f'{base_path}/train.csv', usecols=train_cols, nrows=ROWSTOLOAD) #.reset_index()\n\n    ","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:31.630479Z","iopub.execute_input":"2023-04-13T23:34:31.631038Z","iopub.status.idle":"2023-04-13T23:34:32.045325Z","shell.execute_reply.started":"2023-04-13T23:34:31.631002Z","shell.execute_reply":"2023-04-13T23:34:32.044225Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_data['event_name'].unique()","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:32.049660Z","iopub.execute_input":"2023-04-13T23:34:32.050941Z","iopub.status.idle":"2023-04-13T23:34:32.076438Z","shell.execute_reply.started":"2023-04-13T23:34:32.050865Z","shell.execute_reply":"2023-04-13T23:34:32.075349Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# a simple function to remove possible outiler","metadata":{}},{"cell_type":"code","source":"def remove_outiler(df, col_name, l, h):\n   lw = df[col_name].quantile(l) #0.25)\n   hi  = df[col_name].quantile(h) #0.75)\n   df = df[(df[col_name] <= hi) & (df[col_name] >= lw)]\n   return df","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:32.080944Z","iopub.execute_input":"2023-04-13T23:34:32.084143Z","iopub.status.idle":"2023-04-13T23:34:32.093191Z","shell.execute_reply.started":"2023-04-13T23:34:32.084089Z","shell.execute_reply":"2023-04-13T23:34:32.091968Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_data = remove_outiler(train_data, 'index', 0.5, 0.95)\ntrain_data = remove_outiler(train_data, 'elapsed_time', 0.5, 0.95)","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:32.098948Z","iopub.execute_input":"2023-04-13T23:34:32.099330Z","iopub.status.idle":"2023-04-13T23:34:32.129187Z","shell.execute_reply.started":"2023-04-13T23:34:32.099296Z","shell.execute_reply":"2023-04-13T23:34:32.128148Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# convert string to numeric index","metadata":{}},{"cell_type":"code","source":"def to_index(df):\n   train_data_event_name_uq = df['event_name'].unique()\n   train_data_event_name_uq_dict = dict(zip(train_data_event_name_uq, range(len(train_data_event_name_uq))))\n   df['event_name'] = df['event_name'].replace(train_data_event_name_uq_dict)\n\n   train_data_level_group_uq = df['level_group'].unique()\n   train_data_level_group_uq_dict = dict(zip(train_data_level_group_uq, range(len(train_data_level_group_uq))))\n   df['level_group'] = df['level_group'].replace(train_data_level_group_uq_dict)\n   return df \n","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:32.134956Z","iopub.execute_input":"2023-04-13T23:34:32.135336Z","iopub.status.idle":"2023-04-13T23:34:32.145343Z","shell.execute_reply.started":"2023-04-13T23:34:32.135302Z","shell.execute_reply":"2023-04-13T23:34:32.144028Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_data = to_index(train_data)","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:32.149674Z","iopub.execute_input":"2023-04-13T23:34:32.150056Z","iopub.status.idle":"2023-04-13T23:34:32.187412Z","shell.execute_reply.started":"2023-04-13T23:34:32.150021Z","shell.execute_reply":"2023-04-13T23:34:32.186248Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_data","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:32.192504Z","iopub.execute_input":"2023-04-13T23:34:32.193464Z","iopub.status.idle":"2023-04-13T23:34:32.222566Z","shell.execute_reply.started":"2023-04-13T23:34:32.193423Z","shell.execute_reply":"2023-04-13T23:34:32.220981Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"question_level_groups =[\n    { 'level_group':[0,0,0,0], 'question_id':[1,2,3,4]},\n    { 'level_group':[1,1,1,1,1,1,1,1], 'question_id':[5,6,7,8,9,10,11,12]},\n    { 'level_group':[2,2,2,2,2,2], 'question_id':[13,14,15,16,17,18]}\n]","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:32.227815Z","iopub.execute_input":"2023-04-13T23:34:32.228234Z","iopub.status.idle":"2023-04-13T23:34:32.238936Z","shell.execute_reply.started":"2023-04-13T23:34:32.228198Z","shell.execute_reply":"2023-04-13T23:34:32.237546Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# simple mapping level-group to questions\n**not 1-to-1 relationship**","metadata":{}},{"cell_type":"code","source":"question_level_group_df = pd.DataFrame(question_level_groups[0])\nfor question_level_group in question_level_groups[1:]:\n    df_next = pd.DataFrame(question_level_group)\n    question_level_group_df = pd.concat([question_level_group_df, df_next])\n    #log.info(f'df {df}')\n        \ntrain_data_question_level_group_merge = pd.merge(train_data, question_level_group_df, left_on=['level_group'], right_on=['level_group'], how='left')","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:32.244113Z","iopub.execute_input":"2023-04-13T23:34:32.244572Z","iopub.status.idle":"2023-04-13T23:34:32.276591Z","shell.execute_reply.started":"2023-04-13T23:34:32.244538Z","shell.execute_reply":"2023-04-13T23:34:32.275588Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_data_question_level_group_merge","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:32.278085Z","iopub.execute_input":"2023-04-13T23:34:32.278716Z","iopub.status.idle":"2023-04-13T23:34:32.295506Z","shell.execute_reply.started":"2023-04-13T23:34:32.278679Z","shell.execute_reply":"2023-04-13T23:34:32.294628Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_data_question_level_group_merge = train_data_question_level_group_merge.dropna()","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:32.296920Z","iopub.execute_input":"2023-04-13T23:34:32.297546Z","iopub.status.idle":"2023-04-13T23:34:32.321670Z","shell.execute_reply.started":"2023-04-13T23:34:32.297508Z","shell.execute_reply":"2023-04-13T23:34:32.320703Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_data_question_level_group_merge['question_id'] = train_data_question_level_group_merge['question_id'].astype(int)","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:32.323255Z","iopub.execute_input":"2023-04-13T23:34:32.323914Z","iopub.status.idle":"2023-04-13T23:34:32.330445Z","shell.execute_reply.started":"2023-04-13T23:34:32.323860Z","shell.execute_reply":"2023-04-13T23:34:32.329577Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_data_question_level_group_merge ","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:32.335359Z","iopub.execute_input":"2023-04-13T23:34:32.337792Z","iopub.status.idle":"2023-04-13T23:34:32.355988Z","shell.execute_reply.started":"2023-04-13T23:34:32.337747Z","shell.execute_reply":"2023-04-13T23:34:32.355063Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"### monitoring the memory usage\ngc.collect()\nsys_stats()","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:32.360594Z","iopub.execute_input":"2023-04-13T23:34:32.361497Z","iopub.status.idle":"2023-04-13T23:34:32.485500Z","shell.execute_reply.started":"2023-04-13T23:34:32.361454Z","shell.execute_reply":"2023-04-13T23:34:32.484060Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# scale/normalize columns","metadata":{}},{"cell_type":"code","source":"from sklearn.preprocessing import minmax_scale\ndef scale_cols(df):\n   df['elapsed_time_encoded'] = minmax_scale(df['elapsed_time_encoded'])\n   df['index_encoded'] = minmax_scale(df['index_encoded'])\n   df['event_name_encoded'] = minmax_scale(df['event_name_encoded'])\n   df['level_encoded'] = minmax_scale(df['level_encoded'])\n   df['level_group_encoded'] = minmax_scale(df['level_group_encoded'])\n   return df ","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:32.487064Z","iopub.execute_input":"2023-04-13T23:34:32.487747Z","iopub.status.idle":"2023-04-13T23:34:33.418570Z","shell.execute_reply.started":"2023-04-13T23:34:32.487695Z","shell.execute_reply":"2023-04-13T23:34:33.417619Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# simple way to maintain data fingerprint \n**and map to 'question_id'**","metadata":{}},{"cell_type":"code","source":"def sum_cols(df):\n   df['elapsed_time_encoded'] = df.groupby(['session_id', 'question_id'], as_index=False)['elapsed_time'].transform(sum)\n   df['index_encoded'] = df.groupby(['session_id', 'question_id'], as_index=False)['index'].transform(sum) \n   df['event_name_encoded'] = df.groupby(['session_id', 'question_id'], as_index=False)['event_name'].transform(sum)\n   df['level_encoded'] = df.groupby(['session_id', 'question_id'], as_index=False)['level'].transform(sum)\n   df['level_group_encoded'] = df.groupby(['session_id', 'question_id'], as_index=False)['level'].transform(sum)\n   df = df.drop_duplicates(['session_id', 'question_id'], keep='last')\n   return df \n","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:33.424029Z","iopub.execute_input":"2023-04-13T23:34:33.425225Z","iopub.status.idle":"2023-04-13T23:34:33.433852Z","shell.execute_reply.started":"2023-04-13T23:34:33.425177Z","shell.execute_reply":"2023-04-13T23:34:33.432698Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_data_question_level_group_merge = sum_cols(train_data_question_level_group_merge)\n","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:33.440233Z","iopub.execute_input":"2023-04-13T23:34:33.441215Z","iopub.status.idle":"2023-04-13T23:34:35.297892Z","shell.execute_reply.started":"2023-04-13T23:34:33.441170Z","shell.execute_reply":"2023-04-13T23:34:35.296887Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_data_question_level_group_merge","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:35.299467Z","iopub.execute_input":"2023-04-13T23:34:35.300216Z","iopub.status.idle":"2023-04-13T23:34:35.321039Z","shell.execute_reply.started":"2023-04-13T23:34:35.300176Z","shell.execute_reply":"2023-04-13T23:34:35.319749Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_data_question_level_group_merge = scale_cols(train_data_question_level_group_merge)","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:35.325147Z","iopub.execute_input":"2023-04-13T23:34:35.327938Z","iopub.status.idle":"2023-04-13T23:34:35.346131Z","shell.execute_reply.started":"2023-04-13T23:34:35.327852Z","shell.execute_reply":"2023-04-13T23:34:35.344403Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_data_question_level_group_merge","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:35.359210Z","iopub.execute_input":"2023-04-13T23:34:35.362716Z","iopub.status.idle":"2023-04-13T23:34:35.392369Z","shell.execute_reply.started":"2023-04-13T23:34:35.362650Z","shell.execute_reply":"2023-04-13T23:34:35.391426Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_label_data_header = pd.read_csv(f'{base_path}/train_labels.csv', index_col=0, nrows=0).reset_index().columns.tolist()","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:35.396427Z","iopub.execute_input":"2023-04-13T23:34:35.398552Z","iopub.status.idle":"2023-04-13T23:34:35.430480Z","shell.execute_reply.started":"2023-04-13T23:34:35.398507Z","shell.execute_reply":"2023-04-13T23:34:35.429436Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_label_data_header","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:35.435510Z","iopub.execute_input":"2023-04-13T23:34:35.437968Z","iopub.status.idle":"2023-04-13T23:34:35.447845Z","shell.execute_reply.started":"2023-04-13T23:34:35.437904Z","shell.execute_reply":"2023-04-13T23:34:35.446926Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"%%time\ntrain_label_data = pd.read_csv(f'{base_path}/train_labels.csv').reset_index()","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:35.452518Z","iopub.execute_input":"2023-04-13T23:34:35.453246Z","iopub.status.idle":"2023-04-13T23:34:35.937059Z","shell.execute_reply.started":"2023-04-13T23:34:35.453208Z","shell.execute_reply":"2023-04-13T23:34:35.935757Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"def split_session(df):\n   df[['session_id', 'question_id']] = df['session_id'].str.split('_',expand=True)\n   df['session_id'] = df['session_id'].astype('int64')\n   df['question_id'] = [(x.split('q')[1]) for x in df['question_id']] \n   df['question_id'] = df['question_id'].astype(int)\n   return (df) ","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:35.941230Z","iopub.execute_input":"2023-04-13T23:34:35.941721Z","iopub.status.idle":"2023-04-13T23:34:35.952259Z","shell.execute_reply.started":"2023-04-13T23:34:35.941685Z","shell.execute_reply":"2023-04-13T23:34:35.951174Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_label_data = split_session(train_label_data)","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:35.958267Z","iopub.execute_input":"2023-04-13T23:34:35.961250Z","iopub.status.idle":"2023-04-13T23:34:37.789459Z","shell.execute_reply.started":"2023-04-13T23:34:35.961195Z","shell.execute_reply":"2023-04-13T23:34:37.788234Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_label_data","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:37.790972Z","iopub.execute_input":"2023-04-13T23:34:37.791558Z","iopub.status.idle":"2023-04-13T23:34:37.804420Z","shell.execute_reply.started":"2023-04-13T23:34:37.791503Z","shell.execute_reply":"2023-04-13T23:34:37.803449Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"del train_label_data['index']","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:37.805711Z","iopub.execute_input":"2023-04-13T23:34:37.806411Z","iopub.status.idle":"2023-04-13T23:34:37.817316Z","shell.execute_reply.started":"2023-04-13T23:34:37.806362Z","shell.execute_reply":"2023-04-13T23:34:37.816099Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"### monitoring the memory usage\ngc.collect()\nsys_stats()","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:37.819233Z","iopub.execute_input":"2023-04-13T23:34:37.820384Z","iopub.status.idle":"2023-04-13T23:34:37.973577Z","shell.execute_reply.started":"2023-04-13T23:34:37.820342Z","shell.execute_reply":"2023-04-13T23:34:37.972076Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"### monitoring the memory usage\ngc.collect()\nsys_stats()","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:37.975298Z","iopub.execute_input":"2023-04-13T23:34:37.975791Z","iopub.status.idle":"2023-04-13T23:34:38.104459Z","shell.execute_reply.started":"2023-04-13T23:34:37.975755Z","shell.execute_reply":"2023-04-13T23:34:38.103240Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#%%time\ntrain_label_merge = pd.merge(train_label_data, train_data_question_level_group_merge, left_on=['session_id', 'question_id'], right_on=['session_id', 'question_id'], how='left')\n","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:38.106264Z","iopub.execute_input":"2023-04-13T23:34:38.106638Z","iopub.status.idle":"2023-04-13T23:34:38.242092Z","shell.execute_reply.started":"2023-04-13T23:34:38.106604Z","shell.execute_reply":"2023-04-13T23:34:38.240584Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_label_merge = train_label_merge.dropna()","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:38.243474Z","iopub.execute_input":"2023-04-13T23:34:38.243810Z","iopub.status.idle":"2023-04-13T23:34:38.308656Z","shell.execute_reply.started":"2023-04-13T23:34:38.243778Z","shell.execute_reply":"2023-04-13T23:34:38.307406Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_label_merge.isnull().values.any()","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:38.310486Z","iopub.execute_input":"2023-04-13T23:34:38.310921Z","iopub.status.idle":"2023-04-13T23:34:38.319533Z","shell.execute_reply.started":"2023-04-13T23:34:38.310868Z","shell.execute_reply":"2023-04-13T23:34:38.318193Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_label_merge","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:38.321179Z","iopub.execute_input":"2023-04-13T23:34:38.321634Z","iopub.status.idle":"2023-04-13T23:34:38.350319Z","shell.execute_reply.started":"2023-04-13T23:34:38.321580Z","shell.execute_reply":"2023-04-13T23:34:38.348708Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#del train_data\n#del train_label_data\n### monitoring the memory usage\ngc.collect()\nsys_stats()","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:38.351908Z","iopub.execute_input":"2023-04-13T23:34:38.352288Z","iopub.status.idle":"2023-04-13T23:34:38.483589Z","shell.execute_reply.started":"2023-04-13T23:34:38.352250Z","shell.execute_reply":"2023-04-13T23:34:38.482314Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# feature importances","metadata":{}},{"cell_type":"markdown","source":"**prepare X,y**","metadata":{}},{"cell_type":"code","source":"train_label_merge_x = train_label_merge.copy()\ntrain_label_merge_y = train_label_merge.copy()","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:38.485362Z","iopub.execute_input":"2023-04-13T23:34:38.485804Z","iopub.status.idle":"2023-04-13T23:34:38.495785Z","shell.execute_reply.started":"2023-04-13T23:34:38.485739Z","shell.execute_reply":"2023-04-13T23:34:38.494628Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"def del_cols(df, cols):\n   for col in cols:\n       del df[col]\n   return df","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:38.497788Z","iopub.execute_input":"2023-04-13T23:34:38.499317Z","iopub.status.idle":"2023-04-13T23:34:38.505639Z","shell.execute_reply.started":"2023-04-13T23:34:38.499271Z","shell.execute_reply":"2023-04-13T23:34:38.504537Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_label_merge_y.columns.to_list()","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:38.507329Z","iopub.execute_input":"2023-04-13T23:34:38.508585Z","iopub.status.idle":"2023-04-13T23:34:38.518463Z","shell.execute_reply.started":"2023-04-13T23:34:38.508544Z","shell.execute_reply":"2023-04-13T23:34:38.517438Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# the Y, the label, only keep the [correct] column","metadata":{}},{"cell_type":"code","source":"y_cols = train_label_merge_y.columns.to_list()\ny_cols.remove('correct')\ntrain_label_merge_y = del_cols(train_label_merge_y, y_cols)\n\n### monitoring the memory usage\ngc.collect()\nsys_stats()","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:38.519616Z","iopub.execute_input":"2023-04-13T23:34:38.520228Z","iopub.status.idle":"2023-04-13T23:34:38.657398Z","shell.execute_reply.started":"2023-04-13T23:34:38.520188Z","shell.execute_reply":"2023-04-13T23:34:38.656257Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# the x, should not have label","metadata":{}},{"cell_type":"code","source":"x_cols = [\n    'correct',\n    #'level',\n    #'level_encoded',\n    #'level_group',\n    #'level_group_encoded',\n    #'elapsed_time',\n    #'elapsed_time_encoded',\n    #'event_name',\n    #'event_name_encoded',\n    #'index',\n    #'index_encoded',\n    #'session_id',\n    #'question_id',\n]\ntrain_label_merge_x = del_cols(train_label_merge_x, x_cols)\n","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:38.658909Z","iopub.execute_input":"2023-04-13T23:34:38.659252Z","iopub.status.idle":"2023-04-13T23:34:38.669550Z","shell.execute_reply.started":"2023-04-13T23:34:38.659220Z","shell.execute_reply":"2023-04-13T23:34:38.668235Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"\n#del train_label_merge\n### monitoring the memory usage\ngc.collect()\nsys_stats()","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:38.672022Z","iopub.execute_input":"2023-04-13T23:34:38.672642Z","iopub.status.idle":"2023-04-13T23:34:38.805181Z","shell.execute_reply.started":"2023-04-13T23:34:38.672600Z","shell.execute_reply":"2023-04-13T23:34:38.803557Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_label_merge_y.columns","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:38.806647Z","iopub.execute_input":"2023-04-13T23:34:38.807157Z","iopub.status.idle":"2023-04-13T23:34:38.817350Z","shell.execute_reply.started":"2023-04-13T23:34:38.807085Z","shell.execute_reply":"2023-04-13T23:34:38.816174Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_label_merge_x.columns","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:38.819586Z","iopub.execute_input":"2023-04-13T23:34:38.821487Z","iopub.status.idle":"2023-04-13T23:34:38.828999Z","shell.execute_reply.started":"2023-04-13T23:34:38.821444Z","shell.execute_reply":"2023-04-13T23:34:38.827857Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# **train_test_split X, y**","metadata":{}},{"cell_type":"code","source":"import matplotlib.pyplot as plt\nfrom sklearn.model_selection import train_test_split\nX = train_label_merge_x.to_numpy()\ny = train_label_merge_y.to_numpy()\n\nX_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, stratify=y, random_state=11)\n","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:38.830742Z","iopub.execute_input":"2023-04-13T23:34:38.832195Z","iopub.status.idle":"2023-04-13T23:34:38.907987Z","shell.execute_reply.started":"2023-04-13T23:34:38.832138Z","shell.execute_reply":"2023-04-13T23:34:38.906939Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# train_columns_order\n**the dataset to be predict should follow the same sequence order/structure as train_label_merge**","metadata":{}},{"cell_type":"code","source":"train_columns_order = train_label_merge_x.columns","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:38.909310Z","iopub.execute_input":"2023-04-13T23:34:38.909657Z","iopub.status.idle":"2023-04-13T23:34:38.913848Z","shell.execute_reply.started":"2023-04-13T23:34:38.909617Z","shell.execute_reply":"2023-04-13T23:34:38.912951Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_columns_order","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:38.915344Z","iopub.execute_input":"2023-04-13T23:34:38.915854Z","iopub.status.idle":"2023-04-13T23:34:38.927491Z","shell.execute_reply.started":"2023-04-13T23:34:38.915820Z","shell.execute_reply":"2023-04-13T23:34:38.926307Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from sklearn.ensemble import RandomForestClassifier\n\n#feature_names = [f\"feature {i}\" for i in range(X.shape[1])]\nfeature_names = train_label_merge_x.columns\nforest = RandomForestClassifier(random_state=11)\nforest.fit(X_train, y_train)","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:38.928894Z","iopub.execute_input":"2023-04-13T23:34:38.929504Z","iopub.status.idle":"2023-04-13T23:34:39.462431Z","shell.execute_reply.started":"2023-04-13T23:34:38.929453Z","shell.execute_reply":"2023-04-13T23:34:39.461282Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import time\nimport numpy as np\nimport pandas as pd\n\nstart_time = time.time()\nimportances = forest.feature_importances_\nstd = np.std([tree.feature_importances_ for tree in forest.estimators_], axis=0)\nelapsed_time = time.time() - start_time\n\nprint(f\"Elapsed time to compute the importances: {elapsed_time:.3f} seconds\")","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:39.463813Z","iopub.execute_input":"2023-04-13T23:34:39.464380Z","iopub.status.idle":"2023-04-13T23:34:39.484758Z","shell.execute_reply.started":"2023-04-13T23:34:39.464346Z","shell.execute_reply":"2023-04-13T23:34:39.483647Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# feature [importance]\nbased on feature-permutation","metadata":{}},{"cell_type":"code","source":"from sklearn.inspection import permutation_importance\n\nstart_time = time.time()\nresult = permutation_importance(\n    forest, X_test, y_test, n_repeats=10, random_state=42, n_jobs=2\n)\nelapsed_time = time.time() - start_time\nprint(f\"Elapsed time to compute the importances: {elapsed_time:.3f} seconds\")\n\nforest_importances = pd.Series(result.importances_mean, index=feature_names)","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:39.486155Z","iopub.execute_input":"2023-04-13T23:34:39.486752Z","iopub.status.idle":"2023-04-13T23:34:41.671556Z","shell.execute_reply.started":"2023-04-13T23:34:39.486717Z","shell.execute_reply":"2023-04-13T23:34:41.670388Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"fig, ax = plt.subplots()\nforest_importances.plot.bar(yerr=result.importances_std, ax=ax)\nax.set_title(\"Feature importances using permutation on full model\")\nax.set_ylabel(\"Mean accuracy decrease\")\nfig.tight_layout()\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:41.676367Z","iopub.execute_input":"2023-04-13T23:34:41.678915Z","iopub.status.idle":"2023-04-13T23:34:42.355302Z","shell.execute_reply.started":"2023-04-13T23:34:41.678853Z","shell.execute_reply":"2023-04-13T23:34:42.354209Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# feature [correlation]","metadata":{}},{"cell_type":"code","source":"from numpy.random import seed\nfrom numpy.random import randn\nfrom matplotlib import pyplot\nfrom numpy import std\nfrom numpy import mean\n\nseed(11)\ndata_elapsed_time = train_label_merge_x['elapsed_time'].to_numpy() \ndata_elapsed_time_encoded = train_label_merge_x['elapsed_time_encoded'].to_numpy()  \nlog.info(f'data_elapsed_time\\n mean:{mean(data_elapsed_time)} std:{std(data_elapsed_time)}')\nlog.info(f'data_elapsed_time_encoded\\n mean={mean(data_elapsed_time_encoded)} std:{std(data_elapsed_time_encoded)}')\n\npyplot.scatter(data_elapsed_time, data_elapsed_time_encoded)\npyplot.show()","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:42.357037Z","iopub.execute_input":"2023-04-13T23:34:42.357736Z","iopub.status.idle":"2023-04-13T23:34:42.593727Z","shell.execute_reply.started":"2023-04-13T23:34:42.357698Z","shell.execute_reply":"2023-04-13T23:34:42.592436Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# test the prediction on splitted dataset","metadata":{}},{"cell_type":"code","source":"y_pred = forest.predict(X_test)","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:42.595573Z","iopub.execute_input":"2023-04-13T23:34:42.596460Z","iopub.status.idle":"2023-04-13T23:34:42.626595Z","shell.execute_reply.started":"2023-04-13T23:34:42.596406Z","shell.execute_reply":"2023-04-13T23:34:42.624895Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# f1_score","metadata":{}},{"cell_type":"code","source":"import sklearn\nf1_score = sklearn.metrics.f1_score(y_test, y_pred, average='macro')\n","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:42.629006Z","iopub.execute_input":"2023-04-13T23:34:42.629772Z","iopub.status.idle":"2023-04-13T23:34:42.637456Z","shell.execute_reply.started":"2023-04-13T23:34:42.629725Z","shell.execute_reply":"2023-04-13T23:34:42.636141Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"f1_score","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:42.639492Z","iopub.execute_input":"2023-04-13T23:34:42.640455Z","iopub.status.idle":"2023-04-13T23:34:42.649550Z","shell.execute_reply.started":"2023-04-13T23:34:42.640408Z","shell.execute_reply":"2023-04-13T23:34:42.648221Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# submission","metadata":{}},{"cell_type":"code","source":"import jo_wilder\nif DEBUG:\n   jo_wilder.make_env.__called__ = False","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:42.651624Z","iopub.execute_input":"2023-04-13T23:34:42.652501Z","iopub.status.idle":"2023-04-13T23:34:42.679652Z","shell.execute_reply.started":"2023-04-13T23:34:42.652455Z","shell.execute_reply":"2023-04-13T23:34:42.678174Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"env = jo_wilder.make_env()\niter_test = env.iter_test()","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:42.682680Z","iopub.execute_input":"2023-04-13T23:34:42.683765Z","iopub.status.idle":"2023-04-13T23:34:42.690484Z","shell.execute_reply.started":"2023-04-13T23:34:42.683715Z","shell.execute_reply":"2023-04-13T23:34:42.689273Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# load test data from api \n**and do the prediction**","metadata":{}},{"cell_type":"code","source":"counter = 0\n# The API will deliver two dataframes in this specific order,\n# for every session+level grouping (one group per session for each checkpoint)\nfor (sample_submission, test_data) in iter_test:\n    if True: #counter == 0:\n        #log.info(f'sample_submission {sample_submission}')\n        log.info(f'sample_submission shape {sample_submission.shape}')\n        #log.info(f'test_data {test_data}')\n        log.info(f'test.shape {test_data.shape}') \n        #log.info(f'test_data session_id unq {test_data[\"session_id\"].unique()}')\n    \n    del sample_submission['name']\n    del sample_submission['page']\n    del sample_submission['room_coor_x']\n    del sample_submission['room_coor_y']\n    del sample_submission['screen_coor_x']\n    del sample_submission['screen_coor_y']\n    del sample_submission['hover_duration']\n    del sample_submission['text']\n    del sample_submission['fqid']\n    del sample_submission['room_fqid']\n    del sample_submission['text_fqid']\n    del sample_submission['fullscreen']\n    del sample_submission['hq']  \n    del sample_submission['music'] \n        \n    ### sync the same process as training data\n    ###\n    sample_submission = to_index(sample_submission)\n    #log.info(f'sample_submission after to_index  {sample_submission} {question_level_group_df}')\n    sample_submission = pd.merge(sample_submission, question_level_group_df, on=['level_group'], how='left')\n    #log.info(f'sample_submission after merge with question_level_group_df  {sample_submission}')\n    sample_submission = sum_cols(sample_submission)\n    sample_submission = scale_cols(sample_submission)\n    \n    #log.info(f'sample_submission {sample_submission.head()}')\n    #log.info(f'sample_submission after changes {sample_submission}')\n    \n    ### sync features used as input dataset as training data\n    ###\n    #del sample_submission['event_name'] \n    #del sample_submission['level'] \n    #del sample_submission['level_group'] \n    #del sample_submission['index']\n    \n    x_cols = ['correct']\n    test_data = del_cols(test_data, x_cols)\n    test_data = split_session(test_data)\n    #log.info(f'test_data after split {test_data}')\n    \n    test_data_merge = pd.merge(sample_submission, test_data, on=['session_id', 'question_id'],  how='left')\n    #log.info(f'test_data_merge {test_data_merge}')\n    #log.info(f'test_data_merge.isnull() {test_data_merge.isnull().values.any()}')\n    test_data_merge = test_data_merge.fillna(test_data_merge.mean())\n    #log.info(f'test_data_merge after fillwith mean {test_data_merge}')\n    #test_data_merge = test_data_merge.dropna()\n    #log.info(f'test_data_merge unq {test_data_merge[\"question_id\"].unique()}')\n    \n    ### test_data_merge need to have same columns order as [train_columns_order]\n    test_data_merge = test_data_merge[train_columns_order]\n    #log.info(f'test_data_merge after columns order match [train_columns_order] {test_data_merge}')\n    \n    test_x = test_data_merge.to_numpy()\n    #log.info(f'test_x {test_x}')\n    \n    y = forest.predict(test_x)\n\n    ## users make predictions here using the test data\n    test_data_merge['session_question_id'] = test_data_merge['session_id'].astype(str) + '_q' + test_data_merge['question_id'].astype(str)\n    \n    sample_submission = pd.DataFrame({'session_id':test_data_merge['session_question_id'].to_numpy(), 'correct': y})\n    sample_submission['correct'] = sample_submission['correct'].astype(int)\n    \n    \n    #sample_submission = sample_submission.drop_duplicates()\n    log.info(f'sample_submission {sample_submission}')\n    #log.info(f'sample_submission unq {sample_submission[\"session_id\"].unique()}')\n    \n    ## env.predict appends the session+level sample_submission to the overall\n    ## submission\n    env.predict(sample_submission)\n    counter += 1","metadata":{"execution":{"iopub.status.busy":"2023-04-13T23:34:42.693202Z","iopub.execute_input":"2023-04-13T23:34:42.694255Z","iopub.status.idle":"2023-04-13T23:34:43.264914Z","shell.execute_reply.started":"2023-04-13T23:34:42.694205Z","shell.execute_reply":"2023-04-13T23:34:43.263430Z"},"trusted":true},"execution_count":null,"outputs":[]}]}