Data mining methods for classifying or estimating an outcome based on a set of input variables is referred to as
A)supervised learning.
B)unsupervised learning.
C)dimension reduction.
D)data sampling.

Question

Quizplus · Accepted Answer

Supervised learning is the data mining method used for classifying or estimating an outcome based on a set of input variables. Unsupervised learning involves finding patterns or grouping data without a known outcome, dimension reduction is the process of reducing the number of variables in a dataset, and data sampling involves selecting a subset of data from a larger dataset.

Data Mining Methods for Classifying or Estimating an Outcome Based