__________ is a category of data mining techniques in which an algorithm learns how to classify or estimate an outcome variable of interest.
A)Supervised learning
B)Unsupervised learning
C)Dimension reduction
D)Data sampling

Question

Quizplus · Accepted Answer

In supervised learning, the algorithm is given labeled data with a known outcome variable, and learns how to predict or classify that variable based on the input variables. This is in contrast to unsupervised learning, which involves finding patterns or relationships in data without any predetermined outcome variable. Dimension reduction and data sampling are techniques used in both supervised and unsupervised learning.

__________ Is a Category of Data Mining Techniques in Which