This repository includes some popular ML models applied to next-run failure (NRF) prediction in predictive maintenance.

Rule-based Methods

1. Decision Tree
2. Random Forest
3. Gradient Boosting Decision Tree

Similarity-based Methods

1. k-Nearest-Neighbors (kNN)
2. Logistic Regression (LR)
3. Support Vector Machine (SVM)

Imbalanced Data Processing Methods

1. Data-level Processing: Re-sampling
2. Model-level Processing: Cost-Sensitive SVM