Question

QUESTION 6
In classification analysis, we typically split the data into two mutually exclusive data sets, such as __________________, to validate the strength of the developed model.

  

   Training and validation/testing

   Training and Binary

   Testing and validation

A loan officer wants to know if the next customer is likely to default or not default on a loan. How can he assess the risk of extending the credit to that customer?

		By asking his colleague if he knows the person
		By asking the customer if he is planning to default the loan or not
		By utilizing a multiple logistic regression model developed by in-house analyst

Answer 1

Answer:

1.

Here by observing the given data, we can say that

In classification analysis, we typically split the data into two mutually exclusive data sets, such as Binary & numeric , to validate the strength of the developed model.

i.e.,

Here we need to part that given information into two structures which is reliant on the variable under the investigation. Unmitigated variable is coded as binary while others are in numeric for the further examination to demonstrate the quality of model.

2.

Here by observing the given statement, we can say that

Option C is right answer.

i.e.,

By utilizing a multiple logistic regression model developed by in-house analyst