MSE

From fscaret v0.8.5.1 by Jakub Szlek

MSE

Function calculates mean squared error as predicted vs. observed

Keywords: arith, math

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)
  }

Documentation reproduced from package fscaret, version 0.8.5.1, License: GPL-2 | GPL-3

Community examples

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