LPO_best_models: Compute the cross-validation of leave one out for test...
In predomics/predomicspkg: Interpretable Prediction in Omics Data

LPO_best_models

R Documentation

Compute the cross-validation of leave one out for test stability

Compute the cross-validation emprirical and generalization scores.

LPO_best_models(X, y, clf, p = 1, lfolds = NULL, return.all = FALSE, nk = 20)

`X:`	the data matrix with variables in the rows and observations in the columns
`y:`	the response vector
`clf:`	clf
`lfolds:`	leave one out folds for cross-validation
`return.all:`	return all results from the crossvalidation for feature stability testing

a list containing generalisation scores for each fold as well as a matrix with the mean values.

predomics/predomicspkg documentation built on Dec. 11, 2024, 11:06 a.m.

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