Explain different methods that can be used to evaluate and compare the accuracy of different classification algorithm.

This question belongs to 'Data Mining & Business Intelligence' subject.

Marks: 10

  1. Accuracy:

Accuracy of classifier refers to the ability of classifier. It predicts the class label correctly and the accuracy of the predictor refers to how well a given predictor can guess the value of predicted attribute for a new data.

  1. Speed :

This refers to the computational cost in generating and using the classifier or predictor.

  1. Robustness:

It refers to the ability of classifier or predictor to make correct prediction from given noisy data.

  1. Scalability:

Scalability refers to the ability to construct the classifier or predictor efficiently; given large amount of data.

  1. Interpretability:

It refers to what extent the classifier or predictor understands.

Please log in to add an answer.

Next up

Read More Questions

If you are looking for answer to specific questions, you can search them here. We'll find the best answer for you.


Study Full Subject

If you are looking for good study material, you can checkout our subjects. Hundreds of important topics are covered in them.

Know More