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engine-predictive-maintenance-adaboost
avatar2102/engine-predictive-maintenance-adaboost
engine-predictive-maintenance-adaboost is a machine learning model from avatar2102. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This model predicts whether an engine requires maintenance based on engine sensor readings.
Access
Public
Updated Mar 8, 2026
Repo size
97.8 KB
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Repo makeup
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.joblib97.8 KB · 98%
At a glance
- Access
- Public
- Created
- Mar 8, 2026
- Updated
- Mar 8, 2026
- SHA
- 090ea95d
Model card
From the Hugging Face model README
Engine Predictive Maintenance - AdaBoost Model
Model Summary
This model predicts whether an engine requires maintenance based on engine sensor readings.
Final Selected Model
AdaBoost
Input Features
- engine_rpm
- lub_oil_pressure
- fuel_pressure
- coolant_pressure
- lub_oil_temp
- coolant_temp
Best Hyperparameters
{'learning_rate': 0.05, 'n_estimators': 150}
Performance on Test Data
- Accuracy: 0.6540
- Precision: 0.6537
- Recall: 0.9594
- F1 Score: 0.7776
Business Relevance
The model is intended for predictive maintenance scenarios where early detection of engine faults helps reduce downtime, avoid unexpected breakdowns, and optimize maintenance planning.
- Created
- Mar 8, 2026
- Updated
- Mar 8, 2026