|
Class Summary |
| 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. |
| EvaluationUtils |
Contains utility functions for generating lists of predictions in
various manners. |
| 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. |
| ThresholdCurve |
Generates points illustrating prediction tradeoffs that can be obtained
by varying the threshold value between classes. |
| TwoClassStats |
Encapsulates performance functions for two-class problems. |
Copyright (c)
2003 David Lindsay, Computer Learning Research Centre, Dept. Computer Science, Royal Holloway, University of London