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#Net.sf.javaml.featureselection.scoring Classes and Interfaces - 5 results found.
| Name | Description | Type | Package | Framework |
| GainRatio | Class | net.sf.javaml.featureselection.scoring | JavaML | |
| KullbackLeiblerDivergence | Feature scoring algorithm based on Kullback-Leibler divergence of the value distributions of features. | Class | net.sf.javaml.featureselection.scoring | JavaML |
| RandomForestAttributeEvaluation | Random Forest based attribute evaluation. | Class | net.sf.javaml.featureselection.scoring | JavaML |
| RELIEF | This implementation is extended to include more neighbors in calculating the weights of the features. | Class | net.sf.javaml.featureselection.scoring | JavaML |
| SymmetricalUncertainty | Class | net.sf.javaml.featureselection.scoring | JavaML | |