8000 GitHub - jpssrocha/perm-ai-ga30: Little exploration on using permutation tests to validate the statistical difference between cross validation results for AI model. Done as classwork for the discipline GA30 Statistics from LNCC.
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Little exploration on using permutation tests to validate the statistical difference between cross validation results for AI model. Done as classwork for the discipline GA30 Statistics from LNCC.

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Machine Learning and Hypothesis Testing

This repository contains files related to classwork for the discipline GA-30, ministered at LNCC, in which i will be applying a hypothesis test ( to the cross validation results for two machine learning models in order to say if there is enough evidence to reject the null hypothesis that they're equal.

In simpler words ... to see if based on the cross validation metrics i can statistically say that one model is better than the other,

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Little exploration on using permutation tests to validate the statistical difference between cross validation results for AI model. Done as classwork for the discipline GA30 Statistics from LNCC.

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