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README.md

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+---
+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: 0.6678
+
+## 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

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:edb66ba9a80e6d717060bdc57122c9d6b049ecf251d8b877225c021996dda8e9
+size 193624