Build the transparent classifier and its 1,000-case benchmark

Build the transparent classifier and its 1,000-case benchmark

Define a synthetic classifier whose true feature dependencies are written down in advance, add correlated distractor features, and generate 1,000 frozen cases from a recorded seed. Deliverable: A generator, a case file with checksums, and a ground-truth feature map listing used features and distractors.