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’) …

More than 100 UK MPs are calling on the government to impose binding rules on the most powerful AI systems as concerns grow that ministers are moving too slowly to …