# Package weka.classifiers.evaluation

package weka.classifiers.evaluation

- Related Packages
  Package
  Description
  weka.classifiers
- Class
  Description
  AbstractEvaluationMetric
  Abstract base class for pluggable classification/regression evaluation metrics.
  AggregateableEvaluation
  Subclass of Evaluation that provides a method for aggregating the results stored in another Evaluation object.
  ConfusionMatrix
  Cells of this matrix correspond to counts of the number (or weight) of predictions for each actual value / predicted value combination.
  CostCurve
  Generates points illustrating probablity cost tradeoffs that can be obtained by varying the threshold value between classes.
  Evaluation
  Class for evaluating machine learning models.
  EvaluationMetricHelper
  Helper routines for extracting metric values from built-in and plugin evaluation metrics.
  EvaluationUtils
  Contains utility functions for generating lists of predictions in various manners.
  InformationRetrievalEvaluationMetric
  An interface for information retrieval evaluation metrics to implement.
  InformationTheoreticEvaluationMetric
  Primarily a marker interface for information theoretic evaluation metrics to implement.
  IntervalBasedEvaluationMetric
  Primarily a marker interface for interval-based evaluation metrics to implement.
  MarginCurve
  Generates points illustrating the prediction margin.
  NominalPrediction
  Encapsulates an evaluatable nominal prediction: the predicted probability distribution plus the actual class value.
  NumericPrediction
  Encapsulates an evaluatable numeric prediction: the predicted class value plus the actual class value.
  Prediction
  Encapsulates a single evaluatable prediction: the predicted value plus the actual class value.
  RegressionAnalysis
  Analyzes linear regression model by using the Student's t-test on each coefficient.
  StandardEvaluationMetric
  Primarily a marker interface for a "standard" evaluation metric - i.e.
  ThresholdCurve
  Generates points illustrating prediction tradeoffs that can be obtained by varying the threshold value between classes.
  ThresholdProducingMetric
  Some evaluation measures may optimize thresholds on the class probabilities.
  TwoClassStats
  Encapsulates performance functions for two-class problems.