Machine learning algorithms play a pivotal role in algorithmic trading and quantitative finance. These technologies can analyze vast amounts of market data, identify patterns, and execute trades ...

This may pose a challenge of over-fitting in majority class to the research and create a bias in the analysis of results. This research work has adopted J48 decision tree machine learning algorithm ...

What is a Decision Tree? A decision tree is a useful machine learning algorithm used for both regression and classification tasks. The name “decision tree” comes from the fact that the algorithm keeps ...

Disclaimer: This repository is a sketchbook learning the background of decision tree algorithms. It is neither clean nor readable. Please direct yourself to Chefboost repository to have clean one..

Decision Tree is the simple but powerful classification algorithm of machine learning where a tree or graph-like structure is constructed to display algorithms and reach possible consequences of a ...

This is the repository for D-Lab’s Introduction to Machine Learning in R workshop. View the associated slides here. The seven algorithm R Markdown files (lasso, decision tree, random forest, xgboost, ...

Intelligent decision optimization: By integrating machine learning models, the hybrid consensus algorithm can collect and analyze network operation data, extract key features, and train models to ...

The Department of Industrial Engineering and Management Sciences is a leader in the science of decision-making in complex environments through innovation in algorithms, computation, and mathematical ...