Kaan v2.0.0

Summary

Multi-approach bake-off (11 models), multi-seed stats, audits, and findings.
Production phone app path unchanged (INT8 / ONNX mel-CNN).

Approaches

cnn_shallow, cnn_deep, cnn1d, yamnet_probe, svm_rbf, mlp, gbdt, rf, extratrees, knn, logreg

Multi-seed accuracy (seeds 42/43/44 vs 84.51% ref)

Approach	Acc mean ± std	Seeds > ref
gbdt	95.36% ± 1.50	3/3
cnn_deep	95.15% ± 0.48	3/3
extratrees	94.94% ± 1.10	3/3
svm_rbf	94.73% ± 1.20	3/3
logreg	94.09% ± 1.59	3/3
rf	93.67% ± 0.95	3/3
cnn_shallow	93.57% ± 1.28	3/3
mlp	92.09% ± 0.32	3/3
knn	90.30% ± 0.37	3/3
yamnet_probe	85.65% ± 1.83	2/3
cnn1d	64.77% ± 20.7	1/3

Assets

• stats.md / stats.json / aggregate_metrics.json / per_seed_metrics.json
• findings_seed{42,43,44}.md
• MODELS.md

Author: Arnav Dhiman. Apache-2.0.