How Machine Learning and Semantic Embeddings Reorder CVE Vulnerabilities Beyond Raw CVSS Scores

How Machine Learning and Semantic Embeddings Reorder CVE Vulnerabilities Beyond Raw CVSS Scores

def visualize_results(df, priority_scores, feature_importance): fig, axes = plt.subplots(2, 3, figsize=(18, 10)) fig.suptitle(‘Vulnerability Scanner – ML Analysis Dashboard’, fontsize=16, fontweight=”bold”) axes(0, 0).hist(priority_scores, bins=30, color=”crimson”, alpha=0.7, edgecolor=”black”) axes(0, 0).set_xlabel(‘Priority Score’) axes(0, 0).set_ylabel(‘Frequency’) axes(0, 0).set_title(‘Priority Score Distribution’) axes(0, 0).axvline(np.percentile(priority_scores, 75), color=”orange”, linestyle=”–“, label=”75th…