get_mse: Mean Squared Error

In mlf: Machine Learning Foundations

Description

Estimates mean squared error from model predictions.

Usage

get_mse(truth, estimate)

Arguments

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

Examples

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

mlf::get_mse(test, predicted)

Example output

[1] 5214.219

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