example {CalibratR}

example

Description

list object containing 1) the simulated classifiers for two classes. Distributions are simulated from Gaussian distributions with Normal(mean=1.5, sd=0) for class 1 and Normal(mean=0, sd=0) for class 0 instances. Each class consists of 100 instances. and 2) A test set of 100 instances

Usage

data(example)

Format

predicted=vector of 200 simulated classifier values; actual=their respective true class labels (0/1)