Model Performance

Real-time monitoring of AI model accuracy, latency, and data drift

Last 24 hours

4

Total Models

3

Healthy

1

Degraded

87.9%

Avg Accuracy

156,420

Inferences (24h)

Model Health

Fraud Detection Model

Healthy

v4.1.0 · Updated 2 min ago

Accuracy94.2%

Precision

92.8%

Recall

89.5%

F1 Score

91.1%

Latency (p50/p99)

45ms / 156ms

Throughput

12,500/hr

Data Drift
3.2%

Customer Support Agent

Healthy

v2.3.1 · Updated 5 min ago

Accuracy91.5%

Precision

88.2%

Recall

93.1%

F1 Score

90.6%

Latency (p50/p99)

234ms / 890ms

Throughput

3,200/hr

Data Drift
5.8%

HR Resume Screener

Degraded

v1.2.0 · Updated 1 min ago

Accuracy78.3%

Precision

72.1%

Recall

81.4%

F1 Score

76.5%

Latency (p50/p99)

1250ms / 3400ms

Throughput

450/hr

Data Drift
18.7%

Sales Forecasting

Healthy

v3.0.0 · Updated 15 min ago

Accuracy87.6%

Precision

85.2%

Recall

88.9%

F1 Score

87%

Latency (p50/p99)

3200ms / 8500ms

Throughput

120/hr

Data Drift
7.2%

Active Alerts
3

Issues requiring attention

HR Resume Screener
critical

Data drift detected: 18.7% deviation from training distribution

10 min ago

HR Resume Screener
warning

Accuracy dropped below 80% threshold (current: 78.3%)

25 min ago

Sales Forecasting
warning

Minor data drift detected: 7.2% deviation

1 hour ago

Fairness Metrics

Bias detection for HR Resume Screener

Demographic Parity
0.92
Equal Opportunity
0.88
Predictive Parity
0.75
Calibration
0.94
Vertical line indicates threshold