Unverified50% confidenceFactExact time
The Shapley value can assign negative points to a feature to indicate that the feature lowered the predicted value.
1
Sources
50%
Confidence
Long-term
Relevance
10/12/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe endpoint metric used in the evaluation is the difference of 'model minus uniform control group', where a positive value represents performing worse than the control.68% similarUnverifiedGradient descent computes the partial derivatives of the loss function with respect to model parameters and updates the parameters in the direction opposite to the gradient to approach the minimum of the loss function.65% similarUnverifiedFor categorical policies, as the output distribution becomes increasingly sharp, the expected score-gradient norm approaches zero, resulting in the weakest updates for tokens that are confident but incorrect.64% similarUnverifiedIn high-dimensional medical data, assigning higher class weights to minority classes or using adaptive loss functions such as Focal Loss is generally more robust than SMOTE oversampling.62% similarUnverifiedAfter rebuilding the configuration under the same public identifier on the same day, the model-minus-uniform endpoint value decreased by 0.0429 (H-minus-R comparison 95% CI: [+0.0182, +0.0667]), and with six configuration components changing simultaneously it was impossible to isolate which component caused the difference.61% similar
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