fitModelGreedy: Fitting model using a greedy search

In cuihaibo1/123: DRW-GM

Description

This function selects pathway features from the top numTops pathways using a greedy search and returns the Fitted "fitModel" model object with best AUC.

Usage

fitModelGreedy(expr_training, expr_test, TValue, classifier = "Logistic", numTops = 50)

Arguments

expr_training	The training set.
expr_test	The test set.
TValue	The sorted t statistic of pathway features.
classifier	The method to train classifiers.
numTops	The number of pathway features used for feature selection.

Value

model	Fitted "fitModel" model object.
AUC	The performance (AUC) of the classifier on feature selection set.
Accuracy	The performance (Accuracy) of the classifier on feature selection set.
pathFeatures	The selected pathway features to build the classifier.

See Also

fitModel

cuihaibo1/123 documentation built on May 14, 2019, 12:50 p.m.