mae: Mean Absolute Error
In metaSVR: Support Vector Regression with Metaheuristic Algorithms Optimization
View source: R/objective_function.R
mae R Documentation
Mean Absolute Error
Description
Calculate the RMSE value between predicted and actual values.
Usage
mae(preds, actuals)
Arguments
preds
A numeric vector of predicted values.
actuals
A numeric vector of actual (true) values.
Value
MAE value.
Examples
preds <- c(80, 120, 180)
actuals <- c(95, 115, 177)
mae(preds, actuals)
metaSVR documentation built on Aug. 21, 2025, 5:58 p.m.
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View source: R/objective_function.R
| mae | R Documentation |
Mean Absolute Error
Description
Calculate the RMSE value between predicted and actual values.
Usage
mae(preds, actuals)
Arguments
preds |
A numeric vector of predicted values. |
actuals |
A numeric vector of actual (true) values. |
Value
MAE value.
Examples
preds <- c(80, 120, 180)
actuals <- c(95, 115, 177)
mae(preds, actuals)
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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