Class ClassificationMetrics (1.0.0)
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ClassificationMetrics(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Metrics calculated for a classification model.
Attributes |
---|
Name | Description |
pr_curve |
.evaluation.PrCurve
Precision-recall curve based on ground truth
labels, predicted labels, and scores for the
predicted labels.
|
confusion_matrix |
.evaluation.ConfusionMatrix
Confusion matrix of predicted labels vs.
ground truth labels.
|
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Last updated 2024-07-16 UTC.
[{
"type": "thumb-down",
"id": "hardToUnderstand",
"label":"Hard to understand"
},{
"type": "thumb-down",
"id": "incorrectInformationOrSampleCode",
"label":"Incorrect information or sample code"
},{
"type": "thumb-down",
"id": "missingTheInformationSamplesINeed",
"label":"Missing the information/samples I need"
},{
"type": "thumb-down",
"id": "otherDown",
"label":"Other"
}]
[{
"type": "thumb-up",
"id": "easyToUnderstand",
"label":"Easy to understand"
},{
"type": "thumb-up",
"id": "solvedMyProblem",
"label":"Solved my problem"
},{
"type": "thumb-up",
"id": "otherUp",
"label":"Other"
}]