Found in the #16 correctness/prose/comments audit. Small prose/code mismatches in the gesture ML notebooks — text that disagrees with what the code does.
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Feature Selection and Hyperparameter Tuning.ipynb — SelectKBest k. The markdown says "Let's try it with k=4." but the code runs SelectKBest(k=6). Make them agree.
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GestureRecognizer-FeatureBased.ipynb — hard-coded accuracy. The narrative states a specific number ("Not bad… 65.5% accuracy with just a few simple features"), but the relevant StratifiedKFold(n_splits=5, shuffle=True) is created without a random_state, so the split — and that number — change every run, and the prose will frequently contradict the output. Either seed the split or soften the wording (e.g. "~65%").
Found in the #16 correctness/prose/comments audit. Small prose/code mismatches in the gesture ML notebooks — text that disagrees with what the code does.
Feature Selection and Hyperparameter Tuning.ipynb— SelectKBest k. The markdown says "Let's try it with k=4." but the code runsSelectKBest(k=6). Make them agree.GestureRecognizer-FeatureBased.ipynb— hard-coded accuracy. The narrative states a specific number ("Not bad… 65.5% accuracy with just a few simple features"), but the relevantStratifiedKFold(n_splits=5, shuffle=True)is created without arandom_state, so the split — and that number — change every run, and the prose will frequently contradict the output. Either seed the split or soften the wording (e.g. "~65%").