Slice-Based Evaluation
A rigorous testing methodology where model performance is measured across specific critical data subsets, rather than just relying on a global average.
Think of It Like This
Like a teacher checking if a student passed both the math and history sections individually, rather than just looking at their overall average GPA.
A model might boast 95% overall accuracy but completely fail (10% accuracy) on a minority demographic or a rare edge case. Slice-based evaluation forces developers to segment the test set by age, gender, lighting conditions, or language to uncover hidden biases and catastrophic failure modes before deployment in the real world.