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sse

Sum of Squared Errors


Description

sse computes the sum of the squared differences between two numeric vectors.

Usage

sse(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

Examples

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)
sse(actual, predicted)

Metrics

Evaluation Metrics for Machine Learning

v0.1.4
BSD_3_clause + file LICENSE
Authors
Ben Hamner [aut, cph], Michael Frasco [aut, cre], Erin LeDell [ctb]
Initial release

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