MAPE: Mean Absolute Percentage Error Loss
In MLmetrics: Machine Learning Evaluation Metrics
MAPE R Documentation
Mean Absolute Percentage Error Loss
Description
Compute the mean absolute percentage error regression loss.
Usage
MAPE(y_pred, y_true)
Arguments
y_pred
Estimated target values vector
y_true
Ground truth (correct) target values vector
Value
Mean Absolute Percentage Error Loss
Examples
data(cars)
reg <- lm(log(dist) ~ log(speed), data = cars)
MAPE(y_pred = exp(reg$fitted.values), y_true = cars$dist)
MLmetrics documentation built on May 29, 2024, 9:34 a.m.
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| MAPE | R Documentation |
Mean Absolute Percentage Error Loss
Description
Compute the mean absolute percentage error regression loss.
Usage
MAPE(y_pred, y_true)
Arguments
y_pred |
Estimated target values vector |
y_true |
Ground truth (correct) target values vector |
Value
Mean Absolute Percentage Error Loss
Examples
data(cars)
reg <- lm(log(dist) ~ log(speed), data = cars)
MAPE(y_pred = exp(reg$fitted.values), y_true = cars$dist)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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