Anomaly Detection Analysis

Compare traditional vs AI-powered anomaly detection performance

Overall Accuracy

78.6%

False Positive Rate

18.5%

Precision

76.4%

Mean Time to Detect

42.8 min

Time Series Anomaly Detection

Traditional methods detect only obvious anomalies

Correct Detection

Missed Anomaly

False Positive

AI-Only Detection

Traditional Detection

Detection Confusion Matrix

Traditional methods have higher error rates

682

True Positive

185

False Positive

223

False Negative

815

True Negative

ROC Curve Analysis

Traditional methods have lower detection performance

Anomaly Type Distribution

Traditional methods detect limited anomaly types

Detection Performance Metrics

Key performance metrics for traditional anomaly detection

Precision

76.4%

Recall

68.2%

F1 Score

72.1%