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

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

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