The Data Science Lab. Binary Classification Using a scikit Decision Tree. Dr. James McCaffrey of Microsoft Research says decision trees are useful for relatively small datasets and when the trained ...

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 ...

A special category of algorithms, machine learning algorithms, try to “learn” based on a set of past decision-making examples. Machine learning is commonplace for things like recommendations ...

Many scientific problems entail labeling data items with one of a given, finite set of classes based on features of the data items. For example, oncologists classify tumors as different known ...

After training decision trees against data, the algorithm is then run against new data in a test set. Before algorithm training, a test set is randomly extracted from the original set.

Machine learning algorithms. Machine learning depends on a number of algorithms for turning a data set into a model. Which algorithm works best depends on the kind of problem you’re solving, the ...

Describing a decision-making system as an “algorithm” is often a way to deflect accountability for human decisions. For many, the term implies a set of rules based objectively on empirical ...