Uses of Class
com.rapidminer.operator.performance.AbstractPerformanceEvaluator

Packages that use AbstractPerformanceEvaluator
com.rapidminer.operator.performance Provides performance evaluating operators and performance criteria. 
 

Uses of AbstractPerformanceEvaluator in com.rapidminer.operator.performance
 

Subclasses of AbstractPerformanceEvaluator in com.rapidminer.operator.performance
 class BinominalClassificationPerformanceEvaluator
          This performance evaluator operator should be used for classification tasks, i.e. in cases where the label attribute has a binominal value type.
 class ForecastingPerformanceEvaluator
          This operator calculates performance criteria related to series forecasting / prediction.
 class PerformanceEvaluator
          A performance evaluator is an operator that expects a test ExampleSet as input, whose elements have both true and predicted labels, and delivers as output a list of performance values according to a list of performance criteria that it calculates.
 class PolynominalClassificationPerformanceEvaluator
          This performance evaluator operator should be used for classification tasks, i.e. in cases where the label attribute has a (poly-)nominal value type.
 class RegressionPerformanceEvaluator
          This performance evaluator operator should be used for regression tasks, i.e. in cases where the label attribute has a numerical value type.
 class SimplePerformanceEvaluator
          In contrast to the other performance evaluation methods, this performance evaluator operator can be used for all types of learning tasks.
 class UserBasedPerformanceEvaluator
          This performance evaluator operator should be used for regression tasks, i.e. in cases where the label attribute has a numerical value type.
 

Methods in com.rapidminer.operator.performance with parameters of type AbstractPerformanceEvaluator
static void AbstractPerformanceEvaluator.evaluate(AbstractPerformanceEvaluator evaluator, ExampleSet testSet, PerformanceVector performanceCriteria, java.util.List<PerformanceCriterion> givenCriteria, boolean skipUndefinedLabels, boolean useExampleWeights)
          Static version of evaluate(ExampleSet,PerformanceVector).
 



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