The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

You probably don’t need more time. By Jancee Dunn When I look back on all the major decisions I’ve dithered over, I could scream. It took me a decade to commit to becoming a parent. I wavered for a ...

The original version of this story appeared in Quanta Magazine. For computer scientists, solving problems is a bit like mountaineering. First they must choose a problem to solve—akin to identifying a ...

ABSTRACT: Decision tree is an effective supervised learning method for solving classification and regression problems. This article combines the Pearson correlation coefficient with the CART decision ...

Decision tree is an effective supervised learning method for solving classification and regression problems. This article combines the Pearson correlation coefficient with the CART decision tree, ...

Elon Musk said Jack Dorsey was right about social media algorithms. On Wednesday, Musk highlighted a video of Dorsey talking about the free speech debate. Dorsey envisioned “a marketplace of ...

I've demonstrated the working of the decision tree-based ID3 algorithm. Use an appropriate data set for building the decision tree and apply this knowledge to classify a new sample. All the steps have ...

Add a description, image, and links to the id3-algorithm topic page so that developers can more easily learn about it.

Abstract: Aimed at solving the problem of tendency to multi-value attribute and huge computational complexity in ID3 algorithm, we proposed a new way to choose the splitting attribute. And a new ...