sse: Sum of squared errors (SSE)

In stschn/deepANN: Neural Network Toolbox

Sum of squared errors (SSE)

Description

Sum of squared errors (SSE)

Usage

sse(actuals, preds, na.rm = FALSE)

Arguments

actuals	A numeric vector of actual values.
preds	A numeric vector of prediction values.
na.rm	A logical value indicating whether actual and prediction pairs with at least one NA value should be ignored.

Details

Sum of squared errors are also known as residual sum of squares (RSS).

Value

Sum of squared errors.

See Also

Other Metrics: accuracy(), cross_entropy(), dice(), entropy(), erf(), erfc(), erfcinv(), erfinv(), gini_impurity(), huber_loss(), iou(), log_cosh_loss(), mae(), mape(), mse(), msle(), quantile_loss(), rmse(), rmsle(), rmspe(), stderror(), vc(), wape(), wmape()

stschn/deepANN documentation built on June 25, 2024, 7:27 a.m.