Unverified50% confidenceFactExact time
IMA is typically measured by the proportion of agreement or a statistic (such as Krippendorff's alpha) between pairs of models' annotation results.
1
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50%
Confidence
Long-term
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10/21/2026
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UnverifiedIn imbalanced classification problems, a model can achieve very high accuracy even by predicting all samples as the majority class, so it is necessary to shift to more discriminative metrics such as precision-recall curves, F1 score, Matthews correlation coefficient, or AUC-ROC70% similarUnverifiedmAP is a metric averaged over multiple IoU thresholds or multiple categories, and better reflects a model's overall performance under different precision requirements.69% similarUnverifiedPrecision refers to the proportion of samples the model identifies as positive that are truly positive; recall refers to the proportion of all true positives that the model successfully identifies; the two typically have an inverse relationship.68% similarUnverifiedIn AI systems, confidence is typically expressed as a probability value between 0 and 1, reflecting the model's estimate of the correctness of its own output.68% similarPartially VerifiedModel calibration refers to the degree to which a model's output probabilities match its actual accuracy rate; for a well-calibrated model, if the probability it gives for a certain type of question is 0.8, then about 80% of such questions are indeed answered correctly.64% similar
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