Metric used in the construction of a decision tree to determine the ‘’ pair that best separates the two classes of the problem.

A metric used when constructing a decision tree to determine the ‘’ pair that best separates the two classes of the problem.

A condition in which the tissue response to the action of insulin upon circulating glucose is impaired, especially in the liver, skeletal muscle, adipose tissue, and brain. After some time, this alteration, in conjunction with deficient insulin production by the pancreas, can lead to the development of type-2 diabetes mellitus.

A desirable property for any machine learning model is its interpretability, meaning that the type of discriminant function can be understood by a human user, making it the opposite of a black box model.

In reference to association rules, an item refers to one of the elements of the rows of a data set. In the case of regression or classification techniques, this would be the equivalent of the value for a single variable in an instance.

Set of items from a dataset.