mltools (version 0.3.4)

mse: Mean Square Error

Description

Calculate Mean-Square Error (Deviation)

Usage

mse(preds = NULL, actuals = NULL, na.rm = FALSE, weights = 1)

Arguments

preds

A vector of prediction values in [0, 1]

actuals

A vector of actuals values in 0, 1, or FALSE, TRUE

na.rm

Should (prediction, actual) pairs with at least one NA value be ignored?

weights

Optional vectors of weights

Details

Calculate Mean-Square Error (Deviation)

References

https://en.wikipedia.org/wiki/Mean_squared_error

Examples

# NOT RUN {
preds <- c(1.0, 2.0, 9.5)
actuals <- c(0.9, 2.1, 10.0)
mse(preds, actuals)

# }