MAE: Mean Absolute Error
In PerMat: Performance Metrics in Predictive Modeling
MAE R Documentation
Mean Absolute Error
Description
Mean Absolute Error
Usage
MAE(actual, predicted)
Arguments
actual
Actual value of the target variable
predicted
Predicted/forecasted value of the target variable
Value
MAE of the fitted model
Examples
actual <- c(100, 150, 200, 250, 300, 350, 400, 450, 500, 550)
predicted <- c(95, 148, 210, 245, 290, 360, 395, 440, 510, 540)
MAE(actual, predicted)
PerMat documentation built on June 22, 2024, 10:55 a.m.
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| MAE | R Documentation |
Mean Absolute Error
Description
Mean Absolute Error
Usage
MAE(actual, predicted)
Arguments
actual |
Actual value of the target variable |
predicted |
Predicted/forecasted value of the target variable |
Value
MAE of the fitted model
Examples
actual <- c(100, 150, 200, 250, 300, 350, 400, 450, 500, 550)
predicted <- c(95, 148, 210, 245, 290, 360, 395, 440, 510, 540)
MAE(actual, predicted)
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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