Kaggle competition: Northeastern SMILE Lab - Recognizing Faces in the Wild
clf2 = xgb.XGBClassifier(
 n_estimators=500,
max_depth=9,
learning_rate=0.05,
subsample=0.9,
colsample_bytree=0.9,
random_state=51,
tree_method='gpu_hist' 
)
<train_model>
sub1 = pd.read_csv('.. /input/smiles/vgg_face.csv')
 sub2 = pd.read_csv('.. /input/smiles/vgg_face(1 ).csv')
 sub3 = pd.read_csv('.. /input/smiles/submission(1 ).csv')
 temp=pd.read_csv('.. /input/smiles/submission(1 ).csv')
<compute_train_metric><EOS> 
temp['is_related'] = 0.60*sub1['is_related'] + 0.22*sub2['is_related'] + 0.18*sub3['is_related']
temp.to_csv('submission4.csv', index=False )