The study of decision trees and optimisation techniques remains at the forefront of modern data science and machine learning. Decision trees, with their inherent interpretability and efficiency ...

India's Rishabh Pant (L) complains about the shape of the ball to Australia's umpire Paul Reiffel (R) on day 3 of the first Test against England at Headingley cricket ground in Leeds. (AFP) ...

A southern African python, rescued earlier this month. She was four metres long and weighed 28kg. She'd gone into a tree next to someone's front door.

The Southern Baptist Convention voted overwhelmingly on Tuesday to call for the overturning of the Supreme Court ruling that legalized same-sex marriage, with strategists citing the successful ...

With Reiffel unmoved with his decision, Pant vented his frustration by throwing the ball back-handed on the ground. Even Jasprit Bumrah too was seen having a chat with Reiffel regarding the same.

In this paper, we evaluate the use of traditional decision tree algorithms CRT, CHAID and QUEST to determine a decision tree which can be used to predict a set of (Pareto optimal) junction design ...

Linear Trees combine the learning ability of Decision Tree with the predictive and explicative power of Linear Models. Like in tree-based algorithms, the data are split according to simple decision ...

Due to their many benefits, decision trees are extensively utilized to solve a variety of classification problems in the real world. Consequently, creating efficient and effective decision trees ...

Even in 2025, the best home printers are essential in any home office. It seems the world isn’t quite ready to get rid of paper. Nowadays, you don’t even need a laptop. Wireless printers let ...

Decision tree algorithms have been successfully applied to various agricultural contexts, such as classifying raisins by size, shape, color, and texture (Raihen & Akter, 2024), identifying data types ...