ML Models & Performance
Advanced machine learning model management, training, and monitoring
5
Active Models
10
Total Predictions
85%
Avg Confidence
0
Features Today
Model Performance Comparison
- Accuracy
- Precision
- Recall
Prediction Accuracy Trend
- Accuracy %
- Confidence %
Deployed Models (8)
Vertical Transport Failure Classifier
failure classification
active
gradient boosting
vv3.2Accuracy93%
elevator
18,400 training samples
Precision
0.900
Recall
0.880
F1
N/A
Coastal Coil Degradation Model
degradation trend
active
random forest
vv2.6Accuracy88%
hvac system
11,250 training samples
Precision
N/A
Recall
N/A
F1
N/A
Waterproofing Latent Defect Detector
anomaly detection
active
isolation forest
vv1.9Accuracy84%
building
6,400 training samples
Precision
0.840
Recall
0.790
F1
N/A
Pool Plant Remaining Useful Life
rul prediction
active
weibull analysis
vv2.1Accuracy86%
water treatment
3,900 training samples
Precision
N/A
Recall
N/A
F1
N/A
Portfolio Renewal Ensemble
ensemble
active
ensemble voting
vv4.0Accuracy91%
all
41,800 training samples
Precision
0.890
Recall
0.870
F1
N/A
Facade Sealant Life Predictor
rul prediction
testing
cox proportional hazards
vv1.3Accuracy81%
building
2,100 training samples
Precision
N/A
Recall
N/A
F1
N/A
Amenity Outage Risk Model
failure classification
training
neural network
vv0.8Accuracy77%
water treatment
1,450 training samples
Precision
N/A
Recall
N/A
F1
N/A
Legacy Vibration Anomaly Detector
anomaly detection
deprecated
lstm autoencoder
vv1.0Accuracy68%
pump
5,200 training samples
Precision
0.680
Recall
N/A
F1
N/A