compute.mse

0th

Percentile

Predictive accuracy estimates (MSE) across trees for linear or poisson regression model.

Predictive accuracy estimates (MSE) across trees for linear or poisson regression model.

Usage
compute.mse(response, predictions)
Arguments
response

A vector of actual response of outcome variable.

predictions

A vector of predicted response for the same outcome variable.

Value

MSE estimates

Aliases
  • compute.mse
Examples
# NOT RUN {
# The MSE should be 2.5. Off by 2 half the time, off by 1 the other half
response <- matrix(c(rep(0,100), rep(10,100)))
predictions <-
    matrix(nrow=20, ncol = 3,
           data = c(rep(1,100), rep(8,100), rep(1,100), rep(8,100),
                    rep(1,100), rep(8,100)))
compute.mse(response, predictions)

# }
Documentation reproduced from package mobForest, version 1.3.1, License: GPL (>= 2)

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