MSE
From fscaret v0.8.5.1
by Jakub Szlek
MSE
Function calculates mean squared error as predicted vs. observed
Usage
MSE(vect1, vect2, rows_no)
Arguments
- vect1
- Numeric vector of predicted values
- vect2
- Numeric vector of observed values
- rows_no
- Number of observations
Examples
## The function is currently defined as
function (vect1, vect2, rows_no)
{
result = 0
pred <- 0
obs <- 0
for (i in 1:rows_no) {
result <- result + (vect1[i] - vect2[i])^2
}
result <- (result/rows_no)
return(result)
}
Community examples
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