LogLosSummary: Binary log loss

Description Usage Arguments Value Examples

Description

This function calculates binary logloss given the actual classes and predictions

Usage

1
LogLosSummary(data, lev = NULL, model = NULL)

Arguments

data

Vector of observed classes

lev

(Optional) Levels of the outcome variable

model

Model predictions for p(y=1)

Value

List of accuracy, kappa and binary logloss

Examples

1
LogLossSummary(data = c(0,1), model = c(0.1, 0.9))

SNaveenMathew/EnsembleModel documentation built on May 28, 2019, 2:29 p.m.