Reproducible classical ML baselines for class‑imbalanced intrusion detection on UNSW‑NB15 (binary + multiclass) comparing no balancing, class weighting, and SMOTE with macro‑F1, ROC‑AUC, G‑Mean, and per‑class metrics.