Machine Learning Regression Models for Kinetic Properities to predict Ignition Delay Time (IDT)

Overview

This repository houses Python scripts tailored for training and assessing diverse machine learning regression models using the scikit-learn library. These scripts are specialized for datasets relevant to Ignition Delay Time (IDT) prediction.

Included Regression Algorithms

• K-Nearest Neighbors (KNN)
• Gradient Boosting
• Multi-layer Perceptron (MLP)
• Decision Tree
• Random Forest
• Support Vector Machine (SVM)
• Ensemble methods such as Bagging and AdaBoost