**# init setup, prepare data**
from pycaret.regression import *
s = setup(input_table_1, target = 'charges', silent=True)
**# model training and selection
**best = compare_models()
**# store the results, print and save**
output_table_1.to_csv('c:/users/moezs/pycaret-demo-knime/results.csv', index = False)
**# finalize best model and save**
best_final = finalize_model(best)
save_model(best_final, 'c:/users/moezs/pycaret-demo-knime/pipeline')