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 ...

After the first split, the decision tree algorithm examines each of the two subsets of data and finds a predictor variable and a value that gives the most information. The process continues until a ...

Starting with all 200 training items, the decision tree algorithm scans the data and finds the one value of the one predictor variable that splits the data into two sets in such a way that the most ...

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.

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 ...

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