Data Mining

# Cross-Validation Folds Data Mining Assignment Answer

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Cross-Validation Folds assignments require the skills to analyse the pattern data stored and determine the relationship between them. Here’s how to write the  Cross-Validation Folds Data Mining assignment answer.

In the above question, a table of cases has been given to promote a life assurance product by one of the insurance company’s. The qualities are simple and the values in the promoting two product traits ought to be perused as: YES which implies the individual offered that promotion particular just that you would take our insurance and NO means not offered the promotion.

Now, you are required to answer a few questions. These questions can be quite difficult for you to answer. In such a situation, you can get help from Data Mining Assignment Experts offering Cross-Validation Folds – Business Analysis assessment answers.

Question 1

Approach To Answer Question 1 of Cross-Validation Folds – Business Analysis Assignment

The data mining assignment help experts say that you are required to build a classifier along with its result. You may also use the ID3 decision tree induction method in order to obtain a classifier from the set of data given.

When you successfully build the classifier, the results will be in the following form:

Approach To Be Followed For Question 2:

In order to solve the above question of the data mining assignment, you must have to deal with few a cases. You can outline the solution algorithmically by the help of the following structure:

Algorithm DT-based classification

#traversing the tree to reach a leaf node N

In case, N’s class value is null then write the pseudo code to implement your solution or else return to the class value end.

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#### Archer Wilson

Archer Wilson is an academic blogger who has been working with Sample Assignment for over five years, holding a Ph.D. degree in English Literature. Apart from being a blogger, he also works as an Australian assignment help expert for English in his idle time.

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