This research work has adopted J48 decision tree machine learning algorithm with application of SMOTE technique in solving the problem of imbalance dataset, thereby leading to an improved detection of ...

Explore the power of machine learning in finance, revolutionizing predictive analytics and risk assessment for informed financial decision-making.

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 ...

This study examines the application of machine learning (ML) techniques, specifically decision trees (DTs), to predict the financial stability of institutions. Using the C5.0 algorithm, a DT was ...

Compared to classical algorithms, quantum machine learning demonstrates significant advantages in feature extraction, model training, and predictive inference.

The oblique decision tree is a popular choice in the machine learning domain for improving the performance of traditional decision tree algorithms. In contrast to the traditional decision tree, which ...

Decision Trees for Machine Learning Disclaimer: This repository is a sketchbook learning the background of decision tree algorithms. It is neither clean nor readable. Please direct yourself to ...

WiMi's machine learning-based blockchain hybrid consensus algorithm not only represents a major innovation in blockchain technology, but also provides solid technical support for the future ...

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 ...