Predictive Maintenance - AdaBoost Model
Model Description
This repository contains the AdaBoost model developed for a Predictive Maintenance Capstone Project.
Objective
The objective of the model is to predict machine failure based on operational parameters.
Features Used
- Engine rpm
- Lub oil pressure
- Fuel pressure
- Coolant pressure
- Lub oil temperature
- Coolant temperature
Algorithm
AdaBoost Classifier
Model Performance
- Accuracy: 66.88%
- ROC-AUC: 70.50%
- Precision: 69.79%
- Recall: 83.68%
- F1-Score: 76.11%
Author
Gopikrishna
