Fitness Functions for Classification

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Choosing the Fitness Function

Fitness Functions for Classification

For Classification problems you can select one of the 10 built-in fitness functions based on the:

Number of Hits
Sensitivity/Specificity
PPV/NPV
R-square
MSE (mean squared error)
RMSE (root mean squared error)
MAE (mean absolute error)
RSE (relative squared error)
RRSE (root relative squared error)
RAE (relative absolute error)

Or create your own fitness function by choosing:

Custom Fitness Function

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