Data-mining methods for predicting 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 involves using labeled data to train a model to predict an outcome based on input variables. This is the most appropriate method for predicting outcomes based on input variables. Unsupervised learning is used for clustering and dimension reduction is used to reduce the number of input variables. Data sampling is used to select a representative subset of data from a larger dataset.

Data-Mining Methods for Predicting an Outcome Based on a Set