/**
 * Classification Evaluation Experiment
 *
 * Runs the full classification evaluation pipeline across four graph
 * structural classes (Erdos-Renyi, Barabasi-Albert, Watts-Strogatz,
 * Real-World) and outputs structured console metrics for the TAP runner.
 *
 * Metrics:
 * - Per-class precision, recall, F1, and support
 * - Accuracy vs random baseline (25% for 4 classes)
 * - Macro F1 assertion (> 0.5)
 */
export {};
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