Chi Squared Test to compare the models

chi-square.py

# Source: https://towardsdatascience.com/chi-squared-tests-to-compare-two-machine-learning-models-and-determine-whether-they-are-random-2a405fc55181
import numpy as np
import pandas as pd
from scipy.stats import chi2_contingency
data=[[58,7],[11,24]] #Model M1 table
#Chi square statistic,pvalue,DOF,expected table
stat, p, dof, expected = chi2_contingency(data) 
print('Chi-square statistic=',stat)
print('Pvalue=',p)
alpha=0.05
if p < alpha:
    print('Not a random guesser')
else:
    print('Model is a random guesser')
#Chi-square statistic= 32.884319981094166
#Pvalue= 9.780899116984747e-09