| library_name: scikit-learn | |
| tags: | |
| - predictive-maintenance | |
| - classification | |
| - mlops | |
| - gradientboosting | |
| # Predictive Maintenance Model | |
| ## Model Description | |
| This is a GradientBoosting model trained to predict engine failure based on sensor readings. | |
| ## Model Performance | |
| - Algorithm: GradientBoosting | |
| - Task: Binary Classification | |
| - Dataset: Engine Condition Sensor Data | |
| - Accuracy: 0.6675 | |
| ## Usage | |
| ```python | |
| import joblib | |
| model = joblib.load('model.pkl') | |
| predictions = model.predict(X) | |
| ``` | |
| ## Features | |
| Engine RPM, Lub Oil Pressure, Fuel Pressure, Coolant Pressure, Lub Oil Temp, Coolant Temp | |