R: Log Loss

logLoss {ModelMetrics} | R Documentation

## Log Loss

### Description

Calculates the log loss or entropy loss for a binary outcome

### Usage

    logLoss(actual, predicted, distribution = "binomial")

### Arguments

`actual` | a binary vector of the labels
`predicted` | a vector of predicted values
`distribution` | the distribution of the loss function needed `binomial, poisson`

### Examples

    data(testDF)
    glmModel <- glm(y ~ ., data = testDF, family="binomial")
    Preds <- predict(glmModel, type = 'response')

    logLoss(testDF$y, Preds)

[Package ModelMetrics version 1.1.0 Index]