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ML Model Analytics Dashboard

Real-time monitoring and performance analytics for ML models in production

5
Active Models
2 new this month
1.2M
Predictions Today
15% from yesterday
97.3%
Average Accuracy
0.5% improvement
23ms
Average Latency
5ms faster

Predictions Over Time

Model Performance Comparison

Feature Drift Detected
The 'user_engagement_score' feature shows significant drift in the last 24 hours. Consider retraining the recommendation model.
Recommendation Engine v2.3
Active
Algorithm XGBoost
Last Updated 2 days ago
Accuracy 98.2%
Predictions 542K today
Avg Latency 18ms
Fraud Detection v1.8
Active
Algorithm Random Forest
Last Updated 1 week ago
Precision 99.1%
Predictions 128K today
Avg Latency 12ms
Churn Prediction v3.0
Active
Algorithm Neural Network
Last Updated 3 days ago
Recall 95.7%
Predictions 89K today
Avg Latency 31ms

Model Accuracy Trends

Latency Distribution

Error Rate by Model

Resource Utilization

Top Feature Importance

user_engagement_score
0.92
session_duration_avg
0.87
purchase_frequency
0.78
product_view_count
0.65
cart_abandonment_rate
0.58

Feature Drift Monitor

Feature Coverage

$2.4M
Revenue Impact
$400K this month
15.2%
Conversion Lift
2.1% increase
$125
Avg Order Value
$12 increase
8.3%
Churn Reduction
1.2% improvement

Revenue Attribution by Model

ROI Analysis