Clinical-ready AI tool boosts breast cancer detection via decision tree algorithms The system is structured around a client-server architecture designed to provide scalability, remote accessibility, ...

Overall, the combination of computer vision systems with the decision tree algorithm proved to be an effective method for tomato quality classification. Performance metrics including accuracy (0.836), ...

Start with the basics: get a handle on what AI is, why it matters, and how it’s used in the real world. Make a plan: figure ...

The bookshelf problem (which computer scientists call the “list labeling” problem) is one of the most basic topics in the field of data structures. “It’s the kind of problem you’d teach to freshman or ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Some of the algorithms include classification and regression tree (CART), Iterative Dichotomiser 3 (ID3), C4.5, C5.0, Chi-squared Automatic Interaction Detection (CHAID), conditional inference trees, ...

Decision trees have been widely recognized as a data mining and machine learning methodology that receives a set of attribute values as the input and generates a Boolean decision as the output. In ...