Another study was done by [18], where predictive modeling of cardiovascular disease using Machine Learning Techniques. Random forest, decision tree, gradient-boosted tree, logistic regression.

Convolutional Neural Network,Decision Tree,Machine Learning,Machine Learning Models,Support Vector Machine,AdaBoost,Bicubic Interpolation,Claims Process,Deep Learning ...

Welcome to the Decision Tree Machine Learning Project! This repository contains an easy-to-understand, practical demonstration of building and tuning Decision Tree models for both classification and ...

Consumer Behavior,Decision Tree,Machine Learning,Online Shopping,Behavior In E-commerce,Class Labels,Contextual Embedding,Correlation-based Feature Selection,Customer Behavior,Data ...

This project focuses on detecting forged or genuine banknotes using Machine Learning, specifically a Decision Tree Classifier. The model is trained on a dataset consisting of wavelet-transformed ...

Machine learning methods such as decision trees, random forests ... This package implements the TreeSHAP algorithm, which is optimized for tree-based models like random forests. For each observation ...

The methods commonly used include mathematical methods [2] [3], machine learning [4] [5], and optimization algorithms ... the minority samples are generated according to the decision-making mechanism ...