Kaggle competition: Instant Gratification
<SOS> metric: AUC Kaggle data source: instant-gratification<set_options>
warnings.filterwarnings('ignore' )
warnings.filterwarnings("ignore")
 warnings.simplefilter(action='ignore', category=FutureWarning)
<load_from_csv>
train = pd.read_csv('.. /input/instant-gratification/train.csv')
 test = pd.read_csv('.. /input/instant-gratification/test.csv')
 train.head()
train_X_0 = pd.read_csv(".. /input/feature1/train_X_features_865.csv")
 train_X_1 = pd.read_csv(".. /input/feature2/train_X_features_865_1.csv")
 y_0 = pd.read_csv(".. /input/feature1/train_y.csv", index_col=False, header=None)
 y_1 = pd.read_csv(".. /input/feature2/train_y1.csv", index_col=False, header=None)
 train_X = pd.concat([train_X_0, train_X_1], axis=0)
 train_X = train_X.reset_index(drop=True)
 train_X.head()<concatenate>
model = pickle.load(open('.. /input/instant-model-v2/gmm_pretrained.v2.pkl','rb'))
<load_from_csv><EOS> 
sub = pd.read_csv('.. /input/instant-gratification/sample_submission.csv')
 sub['target'] = preds
sub.to_csv('submission.csv',index=False )