Flatten data/readings/ → data/
Remove the intermediate readings/ subdirectory level — dataset naming (synthetic_YYYYMMDD, manual_YYYYMMDD) already encodes what the data is. Update all path references across scripts and docs accordingly. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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@@ -70,7 +70,7 @@ class BicorderClassifier:
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2: "Institutional/Bureaucratic"
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}
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def __init__(self, diagnostic_csv='data/readings/synthetic_20251116/readings.csv',
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def __init__(self, diagnostic_csv='data/synthetic_20251116/readings.csv',
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model_path=None):
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"""Initialize classifier with pre-computed model data."""
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if model_path is None:
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