Model Retraining & Recertification
Automate model lifecycle management with continuous validation
247
Active Models12
Pending Retrain5
In Training28
Certified (30d)45 d
Avg Cycle8%
Avg ImprovementModel Retraining Queue
Credit Scoring Model
Performance
In Training
Retraining Triggers
Accuracy Drop: -3.2%
Data Drift (PSI): 0.18
Time Since Last: 62 days
Training Progress
65% Complete
ETA: 2 hours
Fraud Detection
Scheduled
Pending
Retraining Triggers
Monthly Schedule: Due
False Positives: +2.1%
New Data Volume: 1.2M records
Training Progress
Scheduled: Tomorrow 2 AM Priority: MediumDemand Forecast
Drift
Completed
Retraining Triggers
Concept Drift: Detected
MAE Increase: +8.3%
Feature Drift: 3 features
Training Progress
Completed: 2 hours ago Duration: 4.5 hoursRecertification Pipeline
Model Version Performance Comparison
| Model | Current Version | New Version | Accuracy | Fairness | Latency | Certification | Action |
|---|---|---|---|---|---|---|---|
| Credit Scoring | 2.3.1 | 2.4.0 | 91.2% → 94.5%
+3.3%
|
0.08 → 0.04
-0.04 |
95 ms → 87 ms
-8 ms
|
Passed |
|
| Fraud Detection | 1.8.2 | 1.9.0 | 88.7% → 89.2%
+0.5%
|
0.05 → 0.06
+0.01 |
120 ms → 115 ms
-5 ms
|
In Review |
|
| Demand Forecast | 3.1.0 | 3.2.0 | 85.3% → 88.9%
+3.6%
|
0.03 → 0.02
-0.01 |
150 ms → 142 ms
-8 ms
|
Passed |
|
Automated Retraining Triggers
Trigger Configuration
| Trigger Type | Metric | Threshold | Current Value | Status | Auto-Trigger |
|---|---|---|---|---|---|
| Performance | Accuracy Drop | > 2% |
1.8% |
Warning |
|
| Drift | PSI Score | > 0.2 |
0.15 |
Normal |
|
| Fairness | Demographic Parity | > 0.1 |
0.08 |
Warning |
|
| Time | Days Since Training | > 60 |
45 |
Normal |
|
| Volume | New Data Records | > 1M |
850K |
Warning |
Trigger Statistics
Total Triggers (30d)
89
Auto-Triggered
67
Manual Override
22
Retraining History & Performance
Retraining Frequency (6 Months)
Models Retrained
Performance Improvement Trend
Avg Improvement %
Recent Certification Records
Customer Churn v@cert.Version
Certified
All governance checks passed, performance improved by 5.2%
Certifier: Sarah Chen | Duration: 3.5 hoursToday
Risk Assessment v@cert.Version
Conditional
Certified with monitoring requirements for fairness metrics
Certifier: Mike Johnson | Duration: 5.2 hoursYesterday
Price Optimizer v@cert.Version
Failed
Failed fairness requirements, requires additional bias mitigation
Certifier: Lisa Wang | Duration: 2.8 hours3 days ago