Hi

While saving your predictions in a csv, just set index to False

predictions_df.to_csv('name.csv', index=False)

I guess this would work, else you may have to double-check where the problem is coming from.

N_pred = test_predictions[:, 0] # Predictions for N if your predictions are a numpy array

# Split the predictions into separate columns - if preds is pandas df

N_pred = test_predictions['N'] # Predictions for N

P_pred = test_predictions['P'] # Predictions for P

K_pred = test_predictions['K'] # Predictions for K

test_gap_df = pd.merge(test_gap_df, test_df[['PID', 'BulkDensity']], on='PID', how='left')

Ensure that your submission file matches the format and structure of the sample submission file.