Predictive Maintenance Best Model
Model Description
This repository contains the best-performing machine learning model developed for predicting engine maintenance requirement using engine sensor data.
The model was trained to classify whether an engine is operating normally or requires maintenance.
Problem Statement
The objective of this project is to support predictive maintenance by identifying abnormal engine conditions based on operational sensor readings.
Input Features
The model uses the following input variables:
Engine_rpmLub_oil_pressureFuel_pressureCoolant_pressurelub_oil_tempCoolant_temp
Target Variable
Model Type
The best-performing model selected during experimentation was used for this repository.
Evaluation
The model was selected based on the best F1-score achieved on the test dataset after comparing multiple tree-based classifiers.
Files Included
best_model.joblibbest_model_summary.txtexperiment_results.csv
Project Context
This model was developed as part of an academic capstone project on predictive maintenance for engine failure.
