Inheritance diagram for kddml.Core.DataMining.ClassificationTrees.ConfusionMatrix:
Public Member Functions | |
ConfusionMatrix (String[] categories, boolean training_set) | |
int | getNumberOfPredictions () |
String[] | getCategories () |
double | getPercentageAccuracy () |
int | getIncorrectlyPredictions () |
double | getPercentageError () |
void | setValue (String actual_value, String predicted_value, double predictions) throws MiningModelException |
double | getValue (String actual_value, String predicted_value) throws MiningModelException |
String | toString () |
Protected Member Functions | |
ConfusionMatrix (Element confusion_matrix) |
Title: KDDML
Description: Knowledge Discovery in Database Environment
Copyright: Copyright (c) 2003-2005
Company: Universita' di Pisa - Dipartimento di Informatica
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Constructor given the list of fields related to the target attribute.
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Proprietary constructor given the PMML element.
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Returns the total number of predications.
Implements kddml.Core.DataMining.ClassificationTrees.ConfusionMatrixManager. |
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Returns the categories related to the target attribute.
Reimplemented from kddml.Core.DataMining.CategoryMatrix. |
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Returns the ratio of the sum of the diagonal entries to the sum of all entries. The output value is a number between 0 and 1.
Implements kddml.Core.DataMining.ClassificationTrees.ConfusionMatrixManager. |
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Returns the total number of the incorrectly predictions related to this confusion matrix.
Implements kddml.Core.DataMining.ClassificationTrees.ConfusionMatrixManager. |
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Returns the sum of the non-diagonal sums where the actual value does not equal to predicted value, divided by the sum of all cells. The output value is a number between 0 and 1.
Implements kddml.Core.DataMining.ClassificationTrees.ConfusionMatrixManager. |
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Sets the number of prediction when the actual prediction is actual_value and the predicted value is predicted_value.
Reimplemented from kddml.Core.DataMining.CategoryMatrix. |
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Returns the number of predictions for the given class when the actual prediction is actual_value and the predicted value is predicated_value.
Reimplemented from kddml.Core.DataMining.CategoryMatrix. |
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Returns a representation of this object as string.
Reimplemented from kddml.Core.DataMining.CategoryMatrix. |