Package | Description |
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deepnetts.eval |
Evaluation procedures for machine learning models, used to estimate how good models are performing when given new data that (that was not used for training).
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Modifier and Type | Method and Description |
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ConfusionMatrix |
ClassificationMetrics.getConfusionMatrix()
Returns a confusion matrix that is used to generate these metrics.
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ConfusionMatrix |
ClassifierEvaluator.getConfusionMatrix() |
Modifier and Type | Method and Description |
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static ClassificationMetrics[] |
ClassificationMetrics.createFrom(ConfusionMatrix confusionMatrix)
Creates classification metrics from the given confusion matrix.
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Constructor and Description |
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ClassificationMetrics(ConfusionMatrix confMatrix)
Constructs a new classification metrics from specified confusion matrix.
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ClassificationMetrics(ConfusionMatrix confMatrix,
String classLabel,
int classIdx)
Constructs a new classification metrics of a single class for multi class classification.
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