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pval = itest(df.iloc[:,ix].values, df.iloc[:,jx].values, test_args={'statistic': 'mixed_mi', 'n_jobs': 8}) is_independent = (pval >= 1.- 0.95) #confidence_level = 0.95
So, the output is True. So, the two variables are independent.
Which is the null hypothesis here?
The text was updated successfully, but these errors were encountered:
The null hypothesis usually refers to independence
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pval = itest(df.iloc[:,ix].values, df.iloc[:,jx].values, test_args={'statistic': 'mixed_mi', 'n_jobs': 8})
is_independent = (pval >= 1.- 0.95) #confidence_level = 0.95
So, the output is True. So, the two variables are independent.
Which is the null hypothesis here?
The text was updated successfully, but these errors were encountered: