Contains classes for computing the binary confusion matrix.
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| struct | Parameter |
| | Parameters for the binary confusion matrix compute() method. More...
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| class | Input |
| | Base class for input objects of the binary confusion matrix algorithm. More...
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| class | Result |
| | Results obtained with the compute() method of the binary confusion matrix algorithm in the batch processing mode. More...
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Available values stored in a numeric table corresponding to the ResultId::binaryMatrix index
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| accuracy |
Accuracy
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| precision |
Precision
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| recall |
Recall
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| fscore |
F-score
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| specificity |
Specificity
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| AUC |
Area under the curve (AUC). Ability to avoid false classification
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Available identifiers of input objects for the binary confusion matrix algorithm
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| predictedLabels |
Labels computed in the prediction stage of the classification algorithm
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| groundTruthLabels |
Expected labels
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Available methods for computing the binary confusion matrix
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| defaultDense |
Default method
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Available identifiers of results of the binary confusion matrix algorithm
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| confusionMatrix |
Binary confusion matrix
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| binaryMetrics |
Table that contains quality metrics (that is, precision, recall, etc.) for binary classifiers
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