classification: Show the classification performance

In SVMMaj: Implementation of the SVM-Maj Algorithm

Show the classification performance

Description

Given the predicted value q and the observed classes y, it shows an overview of the prediction performances with hit rates, misclassification rates, true positives (TP), false positives (FP) and precision.

Usage

classification(q, y, classes = c("-1", "1"), weights = NULL)

Arguments

q	the predicted values
y	a list of the actual classes of q
classes	a character vector with the labels of the two classes
weights	an optional parameter to specify a weighted hit rate and misclassification rate

Value

a list with three elements, matrix equals the confusion matrix,overall equals the overall prediction performance and in measures the measures per class is stored.

SVMMaj documentation built on May 23, 2022, 9:05 a.m.