Evolutionary algorithms have emerged as a robust alternative to traditional greedy approaches for decision tree induction. By mimicking the natural selection process, these algorithms iterate over ...

A decision tree is a machine learning technique that can be used for binary classification or multi-class classification. A binary classification problem is one where the goal is to predict the value ...

Summary: Ink authentication is often complicated by tampering, aging, and chemical variability. Now, forensic scientists are ...

Researchers have devised an "absurdly fast" algorithm to solve the problem of finding the fastest flow through a network.

Apart from simple diagnosis, the study takes an important step toward predictive health monitoring by modeling the risk of ...

Additionally, we aim to investigate risk factors associated with the incidence of CIPN within the local context using the classification and regression tree (CART) algorithm, which yields an easily ...