Explain the Difference Between Classification and Regression?

1.	Explain the Difference Between Classification and Regression?
Answer» Classification is used to produce discrete results, classification is used to classify data into some SPECIFIC categories. For example, classifying emails into spam and non-spam categories. WHEREAS, regression deals with continuous data. For example, predicting stock prices at a certain point in time. Classification is used to predict the output into a GROUP of CLASSES. For example, Is it Hot or Cold tomorrow? Whereas, regression is used to predict the relationship that data REPRESENTS. For example, What is the temperature tomorrow?

Answer»

Classification is used to produce discrete results, classification is used to classify data into some SPECIFIC categories.
For example, classifying emails into spam and non-spam categories.

WHEREAS, regression deals with continuous data.
For example, predicting stock prices at a certain point in time.

Classification is used to predict the output into a GROUP of CLASSES.
For example, Is it Hot or Cold tomorrow?

Whereas, regression is used to predict the relationship that data REPRESENTS.
For example, What is the temperature tomorrow?

Discussion

No Comment Found

Related InterviewSolutions

Explain the Difference Between Classification and Regression?
What is Bias in Machine Learning?
What are Different Kernels in SVM?
What are Support Vectors in SVM?
Explain SVM Algorithm in Detail
What is PCA? When do you use it?
What is ‘Naive’ in a Naive Bayes?
What is Unsupervised Learning?
What is Supervised Learning?
What are Different Types of Machine Learning algorithms?