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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Class and Description |
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ClassificationMetrics
Various metrics that tell us how good is a classifier.
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ClassificationMetrics.Stats
Average values of commonly used classification metrics.
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ConfusionMatrix
Confusion matrix contains raw classifier evaluation results.
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RegressionMetrics
Common metrics for regression models.
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