LogLoss: Log loss / Cross-Entropy Loss

Description Usage Arguments Value Examples

View source: R/Classification.R

Description

Compute the log loss/cross-entropy loss.

Usage

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LogLoss(y_pred, y_true)

Arguments

y_pred

Predicted probabilities vector, as returned by a classifier

y_true

Ground truth (correct) 0-1 labels vector

Value

Log loss/Cross-Entropy Loss

Examples

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data(cars)
logreg <- glm(formula = vs ~ hp + wt,
              family = binomial(link = "logit"), data = mtcars)
LogLoss(y_pred = logreg$fitted.values, y_true = mtcars$vs)

Example output

Attaching package: 'MLmetrics'

The following object is masked from 'package:base':

    Recall

[1] 0.2517054

MLmetrics documentation built on May 30, 2017, 3 a.m.

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