matthews: Compute Matthews Correlation Coefficient

In alookr: Model Classifier for Binary Classification

Compute Matthews Correlation Coefficient

Description

compute the Matthews correlation coefficient with actual and predict values.

Usage

matthews(predicted, y, positive)

Arguments

predicted	numeric. the predicted value of binary classification
y	factor or character. the actual value of binary classification
positive	level of positive class of binary classification

Details

The Matthews Correlation Coefficient has a value between -1 and 1, and the closer to 1, the better the performance of the binary classification.

Value

numeric. The Matthews Correlation Coefficient.

Examples

# simulate actual data
set.seed(123L)
actual <- sample(c("Y", "N"), size = 100, prob = c(0.3, 0.7), replace = TRUE)
actual

# simulate predict data
set.seed(123L)
pred <- sample(c("Y", "N"), size = 100, prob = c(0.2, 0.8), replace = TRUE)
pred

# simulate confusion matrix
table(pred, actual)

matthews(pred, actual, "Y")

alookr documentation built on May 29, 2024, 10:38 a.m.