3 Questions
What is the main purpose of classification in data analysis?
The main purpose of classification in data analysis is to predict categorical class labels and to classify data based on a training set and class labels, in order to use it in classifying new data.
What is the difference between classification and regression?
Classification predicts categorical class labels and classifies data, while regression models continuous-valued functions and predicts unknown or missing values.
What are some typical applications of classification and regression?
Typical applications of classification and regression include credit approval, target marketing, medical diagnosis, and treatment effectiveness analysis.
Test your knowledge of classification and regression in machine learning with this quiz. Explore the concepts of predicting categorical class labels and modeling continuous-valued functions, and learn about their typical applications such as credit approval, target marketing, and medical diagnosis.
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