| Name | Description | Type | Package | Framework |
| AbstractEvaluationMetric | Abstract base class for pluggable classification/regression evaluationVersion:$Revision: 12409 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.classifiers.evaluation | Weka |
| AbstractOutput | A superclass for outputting the classifications of a classifier. | Class | weka.classifiers.evaluation.output.prediction | Weka |
| AggregateableEvaluation | Subclass of Evaluation that provides a method for aggregating the results stored in another Evaluation object. | Class | weka.classifiers.evaluation | Weka |
| ConfusionMatrix | Cells of this matrix correspond to counts of the number (or weight) of predictions for each actual value / predicted value combination. | Class | weka.classifiers.evaluation | Weka |
| CostCurve | Generates points illustrating probablity cost tradeoffs that can be obtained by varying the threshold value between classes. | Class | weka.classifiers.evaluation | Weka |
| CSV | Outputs the predictions as CSV. | Class | weka.classifiers.evaluation.output.prediction | Weka |
| NominalPrediction | Encapsulates an evaluatable nominal prediction: the predicted probability distribution plus the actual class value. | Class | weka.classifiers.evaluation | Weka |
| Null | Suppresses all output. | Class | weka.classifiers.evaluation.output.prediction | Weka |
| NumericPrediction | Encapsulates an evaluatable numeric prediction: the predicted class value plus the actual class value. | Class | weka.classifiers.evaluation | Weka |
| PlainText | Outputs the predictions in plain text. | Class | weka.classifiers.evaluation.output.prediction | Weka |
| Prediction | Encapsulates a single evaluatable prediction: the predicted value plus the actual class value. | Interface | weka.classifiers.evaluation | Weka |
| RegressionAnalysis | Analyzes linear regression model by using the Student's t-test on each coefficient. | Class | weka.classifiers.evaluation | Weka |
| StandardEvaluationMetric | Primarily a marker interface for a "standard" evaluation metric - i. | Interface | weka.classifiers.evaluation | Weka |
| ThresholdCurve | Generates points illustrating prediction tradeoffs that can be obtained by varying the threshold value between classes. | Class | weka.classifiers.evaluation | Weka |
| ThresholdProducingMetric | Some evaluation measures may optimize thresholds on the class probabilities. | Interface | weka.classifiers.evaluation | Weka |
| TwoClassStats | Encapsulates performance functions for two-class problems. | Class | weka.classifiers.evaluation | Weka |