CoefficientVariationRootMeanSquaredError: Coefficient of Variation Root Mean Square Error

In PauloCirino/MLAT: Machine Learning Automated Software

Description

Returns the coefficient of variation of the root mean square error score for regression.

Usage

CoefficientVariationRootMeanSquaredError(Y, Y_hat)

Arguments

Y	Ground truth numeric vector.
Y_hat	Predicted values numeric vector.

Value

A numeric values.

Examples

Y <- runif(100)
Y_hat <- Y + 0.2*runif(100)
R2(Y = Y, Y_hat = Y_hat)
ExplainedVarianceScore(Y = Y, Y_hat = Y_hat)
MeanError(Y = Y, Y_hat = Y_hat)
MeanAbsoluteError(Y = Y, Y_hat = Y_hat)
MeanSquaredError(Y = Y, Y_hat = Y_hat)
RootMeanSquaredError(Y = Y, Y_hat = Y_hat)
NormalizedRootMeanSquaredError(Y = Y, Y_hat = Y_hat)
CoefficientVariationRootMeanSquaredError(Y = Y, Y_hat = Y_hat)
MedianAbsoluteError(Y = Y, Y_hat = Y_hat)

PauloCirino/MLAT documentation built on May 13, 2019, 1:22 p.m.