Description Usage Arguments Value See Also Examples
View source: R/regression_metrics.R
Calculate absolute percent error regression loss.
1 | absolute_percent_error(y_true, y_pred)
|
y_true |
Ground truth (correct) target values. |
y_pred |
Estimated target values. |
A numeric vector of length equal to max(length(y_true), length(y_pred))
.
Other regression.metrics: absolute_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_mean_absolute_percent_error
,
symmetric_median_absolute_percent_error
,
total_variance_score
,
unexplained_variance_score
1 | absolute_percent_error(1:10, 10:1)
|
[1] 9.0000000 3.5000000 1.6666667 0.7500000 0.2000000 0.1666667 0.4285714
[8] 0.6250000 0.7777778 0.9000000
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