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Compute correlated t-statistic and p-value for k-fold cross-validated results

Usage

kfold_ttest(x, y, n, k)

Arguments

x

numeric vector of values for model A

y

numeric vector of values for model B

n

integer denoting total sample size

k

integer denoting number of folds used in k-fold

Value

object of class data.frame

References

Nadeau, C., and Bengio, Y. Inference for the Generalization Error. Machine Learning 52, (2003).

Corani, G., Benavoli, A., Demsar, J., Mangili, F., and Zaffalon, M. Statistical comparison of classifiers through Bayesian hierarchical modelling. Machine Learning, 106, (2017).

Author

Trent Henderson