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Fitness Functions for Logistic Regression
ROC Measure
Bounded ROC
ROC with MSE
Symmetric ROC
Bounded Symmetric ROC
Rank Measure
Bounded Rank
Rank with MSE
Quantile Spread
Bounded Quantile Spread
Quantile Spread with MSE
Maximum Likelihood
Hinge Loss
Logistic RMSE
Dual Margin
Margin with Penalty
Triple Margin
Bounded Triple Margin
Enhanced Triple Margin
Bounded Enhanced Triple Margin
Entropy
Entropy with MSE
Purity
Purity with MSE
R-square
Bounded R-square
Positive Correl
Positive Correl with MSE
Bounded Positive Correl
Class Variation
MSE
RMSE
MAE
RSE
RRSE
RAE
RSE 2
RRSE 2
RAE 2
Enhanced MSE
Enhanced MAE
Enhanced RSE
Enhanced RAE
Enhanced RSE 2
Enhanced RAE 2
Hits with Punishment
Cost/Gain Matrix
Sensitivity/Specificity
PPV/NPV
SSPN
F Measure
Jaccard Similarity
Matthews Correl
Matthews Correl with MSE
False Balance
Enhanced False Balance
Relative False Balance
Enhanced Relative False Balance
Unsupervised Free-form Features
Custom
See Also:
Fitness Functions for Classification
Fitness Functions for Logistic Regression
Fitness Functions for Time Series Prediction
Gene Expression Programming
Related Tutorials:
What is GEP?
External Custom Fitness
Related Videos:
What's New in GeneXproTools 5.0?
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