What is the difference between classification and regression?

Shivam Rathor
Shivam Rathor

Posted On: Apr 01, 2020

 

Regression is the process of estimating the mapping function (f) given the input value (x) to the continuous output value (y). It is used to predict a value given the data. Here, labeled data is used to create a model or function and this function is used to predict the value of unlabeled data. Linear or Logistic regression is a good example of this type.

Classification is the process of categorizing the data. The classification model is created from using the algorithm on the data so it is categorized mainly based on the similarity. Naive Bayes classifier is a good example of this type.

    Related Questions

    Please Login or Register to leave a response.

    Related Questions

    Machine Learning Interview Questions

    What is machine learning?

    Machine learning is the use of algorithms and data to perform specific tasks. ML is the process of giving the system the ability to learn from data using certain sophisticated algorithms. With the alg...

    Machine Learning Interview Questions

    What supervised and unsupervised machine learning?

    Supervised and unsupervised are the two types of Machine learning algorithms available. In the supervised type, the algorithms are applied to the known labeled data to formulate a model. Labeled data...

    Machine Learning Interview Questions

    What is ROC curve?

    ROC curve is a graphical plot to illustrate the ability of a classifier system. Basically, this curve tells you how much a binary classifier system is capable of distinguishing between classes. This c...