____________ is a category of data-mining techniques in which an algorithm learns how to predict or classify an outcome variable of interest.
A)Supervised Learning
B)Unsupervised Learning
C)Dimension Reduction
D)Data Sampling

Question

Quizplus · Accepted Answer

Supervised learning is specifically focused on predicting or classifying an outcome variable of interest. The algorithm is trained on a set of labeled data, where the outcome variable is already known, and it learns to make predictions based on the input variables. Unsupervised learning, on the other hand, is focused on finding patterns or structure in the data without a specific outcome variable in mind. Dimension reduction and data sampling are techniques used to modify or prepare the data before applying any learning algorithm.

____________ Is a Category of Data-Mining Techniques in Which an Algorithm