Podcast
Questions and Answers
What is the main purpose of classification in data analysis?
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?
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?
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.
Flashcards
Purpose of Classification
Purpose of Classification
To predict categorical class labels and classify data based on a training set and class labels, enabling the classification of new data.
Classification vs. Regression
Classification vs. Regression
Classification predicts categories; regression predicts continuous values.
Applications of Classification/Regression
Applications of Classification/Regression
Credit approval, target marketing, medical diagnosis, and treatment effectiveness analysis.
