Classification
Accuracy
Implemented
classification.accuracyDefinition
Fraction of observations whose predicted label equals the true label.
Formula
Accuracy = (TP + TN) / (TP + TN + FP + FN)
Range: [0, 1]
Inputs and outputs
- y_true: array of class labels
- y_pred: array of predicted labels
Returns: float
Assumptions
No assumptions beyond valid, aligned inputs of the documented types.
Limitations
- Misleading under class imbalance: a constant majority-class predictor can score highly.
Python API
import evalsuite as es
es.accuracy(y_true, y_pred)References
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