evaluate_pred: Evaluate Prediction Results

In longhaiSK/HTLR: Bayesian Logistic Regression with Heavy-Tailed Priors

Evaluate Prediction Results

Description

This function compares the prediction results returned by a classifier with ground truth, and finally gives a summary of the evaluation.

Usage

evaluate_pred(y.pred, y.true, caseid = names(y.true), showplot = TRUE, ...)

Arguments

y.pred	A matrix of predicted probabilities, as returned by a classifier.
y.true	Ground truth labels vector.
caseid	The names of test cases which we take account of. By default all test cases are used for evaluation.
showplot	Logical; if TRUE, a summary plot will be generated.
...	Not used.

Value

A summary of evaluation result.

longhaiSK/HTLR documentation built on Nov. 15, 2024, 10:16 a.m.