rmse {imputeTestbench}

Root Mean Square Error Calculation

Description

takes difference between Original data and Predicted data as input

Usage

rmse(obs, pred)

Arguments

obs

numeric vector of original data

pred

numeric vector of predicted data

Value

rmseVal as Root Mean Square Error

Examples

## Generate 100 random numbers within some limits
x <- sample(1:7, 100, replace = TRUE)
y <- sample(1:4, 100, replace = TRUE)
z <- rmse(x, y)
z