bvto: Bias-Variance Trade-Off

In mlf: Machine Learning Foundations

Description

Provides estimated error decomposition from model predictions (mse, bias, variance).

Usage

bvto(truth, estimate)

Arguments

truth	test data vector or baseline accuractruth to test against.
estimate	predicted vector

Examples

# Sample data
test <- rnorm(25, 80, 35)
predicted <- rnorm(25, 80, 50)

mlf::bvto(test, predicted)

Example output

        MSE         Var        Bias 
2504.351967 2292.690986    1.323865 

mlf documentation built on May 1, 2019, 10:34 p.m.