You are working on a problem where you have to predict whether the claim is done valid or not. And you find that most of the claims which are having spelling errors as well as corrections in the…

The correct answer is D. Any one of the above. In this problem you have been given high-dimensional independent variables like texts, corrections, test results etc. and you have to predict either valid or not valid (One of two). So all of the below technique can be applied to this problem. Support vector machines Naive…

Algorithm Selection and Application

Question

You are working on a problem where you have to predict whether the claim is done valid or not. And you find that most of the claims which are having spelling errors as well as corrections in the manually filled claim forms compare to the honest claims. Which of the following technique is suitable to find out whether the claim is valid or not?

Options

ANaive Bayes
BLogistic Regression
CRandom Decision Forests
DAny one of the above

How the community answered

(22 responses)

A
14% (3)
B
9% (2)
C
5% (1)
D
73% (16)

Explanation

In this problem you have been given high-dimensional independent variables like texts, corrections, test results etc. and you have to predict either valid or not valid (One of two). So all of the below technique can be applied to this problem. Support vector machines Naive Bayes Logistic regression Random decision forests

Topics

#algorithm selection#classification#Naive Bayes#Random Forests

Community Discussion

No community discussion yet for this question.

Full DATABRICKS-CERTIFIED-PROFESSIONAL-DATA-SCIENTIST Practice