mse

0th

Percentile

Mean Squared Error

mse computes the average squared difference between two numeric vectors.

Usage
mse(actual, predicted)
Arguments
actual

The ground truth numeric vector.

predicted

The predicted numeric vector, where each element in the vector is a prediction for the corresponding element in actual.

See Also

rmse mae

Aliases
  • mse
Examples
# NOT RUN {
actual <- c(1.1, 1.9, 3.0, 4.4, 5.0, 5.6)
predicted <- c(0.9, 1.8, 2.5, 4.5, 5.0, 6.2)
mse(actual, predicted)
# }
Documentation reproduced from package Metrics, version 0.1.4, License: BSD_3_clause + file LICENSE

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