pred.values: pred.values

In Immigrate: Iterative Max-Min Entropy Margin-Maximization with Interaction Terms for Feature Selection

Description

This function performs some statistical value prediction

Usage

pred.values(y_train, y_test, pred_train, pred_test)

Arguments

y_train	label vector for training data
y_test	label vector for test data
pred_train	predicted probabilities for training data
pred_test	predicted probabilities for test data

Value

AUC_train	AUC for training data
AUC_test	AUC for test data
accuracy_test	accuracy for test data
precision_test	precision for test data
recall_test	recall for test data
F1_test	F1 score for test data
thre	threshold to separate two labels, obtained from training data

Examples

y_train<-c(0,1,0,1,0,1)
y_test<-c(0,1,0,1)
pred_train<-c(0.77,0.89,0.32,0.96,0.10,0.67)
pred_test<-c(0.68,0.75,0.50,0.81)
re<-pred.values(y_train,y_test,pred_train,pred_test)
print(re)

Immigrate documentation built on July 1, 2020, 11:17 p.m.