Run industry-standard validation layers on a trained classification model.

Upload a labeled CSV (with ground-truth answers in the target column).
The endpoint compares the model's predictions against the real answers and
returns a full validation report including repeated cross-validation,
learning curve, calibration score, permutation importance, per-class F1,
and out-of-distribution robustness.