Kaggle competition: Tabular Playground Series - Jan 2021
<SOS> metric: RMSE Kaggle data source: tabular-playground-series-jan-2021<categorify>
sub_file = pd.read_csv(r'.. /input/tpsjan2021/submission_blend_1.csv')
 df_sub = pd.read_csv(r'.. /input/tpsjan2021/best_blend_1.csv')
 df_sub = df_sub.iloc[:, :14]
plt.figure(figsize=(10,10))
sns.heatmap(df_sub.corr() , cmap='Spectral')
 plt.ylabel('file index numbers')
 plt.xlabel('file index numbers')
 plt.show()
<drop_column><EOS> 
df_sub['weighted_avg'] = abs(1 *(
 -10 *(30 * df_sub['3'] + 30 * df_sub['4'] + 30 * df_sub['6'] +
50 * df_sub['8'] + 1 * df_sub['10'] + 1 * df_sub['11'])/ 142 +
5 *(170 * df_sub['2'] + 20 * df_sub['7'] + 5 * df_sub['12'] + 1 * df_sub['13'])/ 196 +
150 *(150 * df_sub['0'] + 50 * df_sub['1'] -10 * df_sub['5'] - 25 * df_sub['9'])/ 165 
)/ 145)
 submission = pd.DataFrame({'ID': sub_file.ID, 'target': df_sub['weighted_avg'].tolist() })
 submission.to_csv(r'submission.csv', index=False )