P-Values for Classification
Analyze P-Values
Cross-Validated P-Values (Gaussian)
Cross-Validated P-Values (k Nearest Neighbors)
Cross-Validated P-Values (Penalized Multicategory Logistic Regression)
Cross-Validated P-Values
Cross-Validated P-Values (Weighted Nearest Neighbors)
P-Values for Classification
P-Values to Classify New Observations (Gaussian)
P-Values to Classify New Observations (k Nearest Neighbors)
P-Values to Classify New Observations (Penalized Multicategory Logisti...
P-Values to Classify New Observations
P-Values to Classify New Observations (Weighted Nearest Neighbors)
Computes nonparametric p-values for the potential class memberships of new observations as well as cross-validated p-values for the training data. The p-values are based on permutation tests applied to an estimated Bayesian likelihood ratio, using a plug-in statistic for the Gaussian model, 'k nearest neighbors', 'weighted nearest neighbors' or 'penalized logistic regression'. Additionally, it provides graphical displays and quantitative analyses of the p-values.