Kaggle competition: Jigsaw Multilingual Toxic Comment Classification
<SOS> metric: AUC Kaggle data source: jigsaw-multilingual-toxic-comment-classification<feature_engineering>
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
from tqdm.notebook import tqdm
import os
data['v2a1']=data['v2a1'].fillna(0 )<count_missing_values>
submission1 = pd.read_csv('/kaggle/input/sub0427/submission9404.csv')
 submission9412 = pd.read_csv('/kaggle/input/sub0427/submission9412.csv')
 submission9463 = pd.read_csv('/kaggle/input/haveatry/submission9463.csv')
 submission4 = pd.read_csv('/kaggle/input/sub0427/submissionen9115.csv')
 submission5 = pd.read_csv('/kaggle/input/sub0427/submission9408.csv')
 submission6 = pd.read_csv('/kaggle/input/haveatry/submission9435.csv')
 submission9477 = pd.read_csv('/kaggle/input/haveatry/submission9477.csv')
 submission9438 = pd.read_csv('/kaggle/input/haveatry/submission9438.csv')
 submission_val9710 = pd.read_csv('/kaggle/input/haveatry/submission_val9710.csv')
 submission9480 = pd.read_csv('/kaggle/input/haveatry/submission9480.csv')
 submission9471 = pd.read_csv('/kaggle/input/haveatry/submission9471.csv')
 submission9472 = pd.read_csv('/kaggle/input/haveatry/submission9472.csv')
 submission9460 = pd.read_csv('/kaggle/input/haveatry/submission_train2_9460.csv')
 submission9454 = pd.read_csv('/kaggle/input/haveatry/submission9454.csv')
 submission9457 = pd.read_csv('/kaggle/input/haveatry/submission9457.csv')
 submission9458 = pd.read_csv('/kaggle/input/haveatry/submission9458.csv')
 submission9481 = pd.read_csv('/kaggle/input/haveatry/submission9481.csv')
 submission9482 = pd.read_csv('/kaggle/input/haveatry/submission9482.csv')
 submission9483 = pd.read_csv('/kaggle/input/haveatry/submission9483.csv')
 submission9484 = pd.read_csv('/kaggle/input/haveatry/submission9484.csv')
 submission9486 = pd.read_csv('/kaggle/input/haveatry/submission9486.csv')
 submission9487 = pd.read_csv('/kaggle/input/haveatry/submission9487.csv')
 submission9488 = pd.read_csv('/kaggle/input/haveatry/submission9488.csv')
 submission9442 = pd.read_csv('/kaggle/input/haveatry/submission9442(2 ).csv')
 submission9443 = pd.read_csv('/kaggle/input/haveatry/submission9443.csv')
 submission9450 = pd.read_csv('/kaggle/input/haveatry/submission9450.csv')
 submission9459 = pd.read_csv('/kaggle/input/haveatry/submission9459(2 ).csv')
 submission9435 = pd.read_csv('/kaggle/input/haveatry/submission9435(2 ).csv')
 submission9436 = pd.read_csv('/kaggle/input/haveatry/submission9436(2 ).csv')
 submission9446 = pd.read_csv('/kaggle/input/haveatry/submission_mix_9446.csv')
 submission_tr_9437=pd.read_csv('/kaggle/input/haveatry/submission_tr_9437.csv')
 submission_it=pd.read_csv('/kaggle/input/haveatry/submission_it_0.csv')
 submission_pt=pd.read_csv('/kaggle/input/haveatry/submission_pt_0.csv')
 submission_es=pd.read_csv('/kaggle/input/haveatry/submission_es_0.csv')
 submission_fr=pd.read_csv('/kaggle/input/haveatry/submission_fr_0.csv')
 submission_ru=pd.read_csv('/kaggle/input/haveatry/submission_ru_0.csv')
 submission_es_precise=pd.read_csv('/kaggle/input/haveatry/submission_es_precise.csv')
 sub = pd.read_csv('/kaggle/input/jigsaw-multilingual-toxic-comment-classification/sample_submission.csv')
 test = pd.read_csv('/kaggle/input/jigsaw-multilingual-toxic-comment-classification/test.csv' )
data['v18q1'].isna().sum()<count_values>
submission_mix1 = pd.read_csv('/kaggle/input/haveatry/submission_mix1.csv')
 submission_mix2 = pd.read_csv('/kaggle/input/haveatry/submission_mix2.csv')
 submission_mix3 = pd.read_csv('/kaggle/input/haveatry/submission_mix3.csv' )
tabletnan=data[data['v18q1'].isnull() ]
tabletnan[tabletnan['v18q']==0]['Id'].count()<feature_engineering>
submission_train2mix1 = pd.read_csv('/kaggle/input/haveatry/submission9450.csv')
 submission_train2mix2 = pd.read_csv('/kaggle/input/haveatry/submission_train2mix_2.csv')
 submission_train2mix3 = pd.read_csv('/kaggle/input/haveatry/submission_train2mix_3.csv')
 submission_train2mix4 = pd.read_csv('/kaggle/input/haveatry/submission_train2mix_4.csv')
 submission_train2mix5 = pd.read_csv('/kaggle/input/haveatry/submission_train2mix_5.csv')
 submission_train2mix6 = pd.read_csv('/kaggle/input/haveatry/submission_train2mix_6.csv')
 submission_train2mix7 = pd.read_csv('/kaggle/input/haveatry/submission_train2mix_7.csv')
 submission_train2mix8 = pd.read_csv('/kaggle/input/haveatry/submission_train2mix_8.csv')
 submission_train2mix9 = pd.read_csv('/kaggle/input/haveatry/submission_train2mix_9.csv')
 submission_train2mix10 = pd.read_csv('/kaggle/input/haveatry/submission_train2mix_10.csv')
 submission_train2mix11 = pd.read_csv('/kaggle/input/haveatry/submission_train2mix_11.csv')
 submission_train2mix12 = pd.read_csv('/kaggle/input/haveatry/submission_train2mix_12.csv')
 submission_train2mix13 = pd.read_csv('/kaggle/input/haveatry/submission_train2mix_13.csv')
 submission_train2mix14 = pd.read_csv('/kaggle/input/haveatry/submission_train2mix_14.csv')
 submission_train2mix15 = pd.read_csv('/kaggle/input/haveatry/submission_train2mix_15.csv')
 submission_train2mix16 = pd.read_csv('/kaggle/input/haveatry/submission_train2mix_16.csv')
 submission_train2mix17 = pd.read_csv('/kaggle/input/haveatry/submission_train2mix_17.csv')
 submission_train2mix18 = pd.read_csv('/kaggle/input/haveatry/submission_train2mix_18.csv')
 submission_train2mix19 = pd.read_csv('/kaggle/input/haveatry/submission_train2mix_19.csv')
 submission_train2mix20 = pd.read_csv('/kaggle/input/haveatry/submission_train2mix_20.csv')
 submission_train2mix21 = pd.read_csv('/kaggle/input/haveatry/submission_train2mix_21.csv' )
data['v18q1']=data['v18q1'].fillna(0 )<count_missing_values>
submission9464 = pd.read_csv('/kaggle/input/haveatry/submission9464.csv' )
data['rez_esc'].isnull().sum()<filter>
submission9470 = pd.read_csv('/kaggle/input/haveatry/submission_train2_9470.csv' )
data[data['rez_esc']>1][['age', 'escolari', 'rez_esc']][:20]<filter>
submission_mix9450 = pd.read_csv('/kaggle/input/haveatry/submission_mix123_9450.csv' )
rez_esc_nan=data[data['rez_esc'].isnull() ]
rez_esc_nan[(rez_esc_nan['age']<18)& rez_esc_nan['escolari']>0][['age', 'escolari']]<feature_engineering>
for i in range(len(submission1['toxic'])) :
sub['toxic'][i]=submission9460['toxic'][i]*0.15+submission9487['toxic'][i]*0.85
<define_variables><EOS> 
sub.to_csv('submission.csv', index=False )