Bootstrap analysis of multiple repetitions of experiments using an interval-valued multiple comparison procedure
Bootstrap tests improve ANOVA or Friedman when comparing multiple classifiers. Interval-valued tests improve nonparametric tests for stochastic algorithms. Friedman and Bootstrap tests produce different conclusions for certain ML tasks.
cross validation statistical comparisons of algorithms tests for interval-valued data