Note

This page is a reference documentation. It only explains the function signature, and not how to use it. Please refer to the What you really need to know section for the big picture.

julearn.stats.corrected_ttest

julearn.stats.corrected_ttest(*scores, df=None, method='bonferroni', alternative='two-sided')

Perform corrected t-test on the scores of two or more models.

Parameters:

  • *scores (DataFrame) – DataFrames containing the scores of the models. The DataFrames must be the output of run_cross_validation

  • df (int | None, default: None) – int: Degrees of freedom.

  • method – Method used for testing and adjustment of pvalues. Can be either the full name or initial letters. Available methods are:

Examples using julearn.stats.corrected_ttest

Simple Model Comparison

Simple Model Comparison

/auto_examples/99_docs/run_model_comparison_docs

Model Comparison