The Data Science Lab Multi-Class Classification Using a scikit Decision Tree Decision trees are useful for relatively small datasets that have a relatively simple underlying structure, and when the ...

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

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

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 ...

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 ...