A community-solar grant screener systematically scores one neighborhood lower. How should a tester define MLS bias here?
Select an answer to reveal the explanation.
Short Explanation
MLS bias here means non-random, unfair differences on sensitive attributes, like systematically scoring one neighborhood lower. That is not the neuron’s additive bias term on a hidden node, not a random gap with no sensitive attribute, and not a Chapter 6 overfitting finding. Testers hunt unfair treatment, not a math offset.
Full Explanation
MLS bias is unfair treatment on sensitive attributes. Neuron bias, a non-sensitive random gap, and Chapter 6 overfitting are different concepts.