Prec: Precision or PPV

In kerntools: Kernel Functions and Tools for Machine Learning Applications

Precision or PPV

Description

'Prec()' computes the Precision of PPV (Positive Predictive Value) between the output of a classification model and the actual values of the target. The precision of each class can be aggregated. Macro-precision is the average of the precision of each classes. Micro-precision is the weighted average.

Usage

Prec(ct, multi.class = "macro")

Arguments

ct	Confusion Matrix.
multi.class	Should the results of each class be aggregated, and how? Options: "none", "macro", "micro". (Defaults: "macro").

Value

PPV (a single value).

Examples

y <- c(rep("a",3),rep("b",2))
y_pred <- c(rep("a",2),rep("b",3))
ct <- table(y,y_pred)
Prec(ct)

kerntools documentation built on April 3, 2025, 7:52 p.m.