Learn R Programming

scorer (version 0.2.0)

symmetric_mean_absolute_percent_error: Calculate symmetric mean absolute percent error regression loss.

Description

Calculate symmetric mean absolute percent error regression loss.

Usage

symmetric_mean_absolute_percent_error(y_true, y_pred)

Arguments

y_true
Ground truth (correct) target values.
y_pred
Estimated target values.

Value

A numeric vector of length one.

See Also

Other regression.metrics: absolute_error, absolute_percent_error, explained_variance_score, log_error, mean_absolute_error, mean_absolute_percent_error, mean_absolute_scaled_error, mean_error, mean_percent_error, mean_squared_error, mean_squared_log_error, median_absolute_error, median_absolute_percent_error, median_percent_error, median_squared_error, median_squared_log_error, percent_error, r2_score, squared_error, squared_log_error, symmetric_median_absolute_percent_error, total_variance_score, unexplained_variance_score

Examples

Run this code
symmetric_mean_absolute_percent_error(1:10, 10:1)

Run the code above in your browser using DataLab