Explore the realm of Supervised Machine Learning models—Regression, Classification, and Neural Networks. Learn how these models drive predictive and classification tasks in ML.
Table of Contents
Question
Select all models that are part of Supervised ML?
A. Regression model
B. Neural Networks
C. Classification Model
D. Clustering Model
E. Anomaly Detection
Answer
A. Regression model
C. Classification Model
Explanation
A Regression and Classification modeling types are two parts of Supervised machine learning. Both techniques train the models using labeled data: previously acquired or historical data for the label.
Option B is incorrect because Neural Networks belongs to Unsupervised machine learning. It uses data that is not labeled.
Option D is incorrect. Clustering belongs to Unsupervised machine learning.
Option E is incorrect because Anomaly Detection belongs to Unsupervised Learning. It detects the irregularities in the time series data and uses the data that is not labeled.
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