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Plot class counts and percentages; state the imbalance ratio and what it means for metrics and splits. Concepts: Class imbalance; stratification; baseline accuracy Project A: 700 Good / 300 Bad (30% bad, ratio 2.33:1) → moderate imbalance. A model that always says 'Good' scores 70% accuracy and catches zero Bad applicants. Plan: stratified split, class_weight, cost-based threshold (E13). Project B: Not applicable (continuous target). Equivalent idea: check how much of the error will come from rare peak hours.