PROJECT:1)By using one arff dataset you should apply three different classification algorithm andyou should compare the performances of those classification algorithms by using differentparameters of the corresponding algorithms. While you are classifying the dataset usepercentage split and k-fold cross validation to compare the results. You should explain allthe attributes in detail and give brief information about the classifiers you are working with.Lastly use some items with unknown class labels and determine their classes with Weka.2)Also apply the Apprior algorithm on another dataset that you choose. Explain all therules and make some comments about the rules that you will find. PROJECT:1) By using one arff dataset you should apply three different classification algorithm andyou should compare the performances of those classification algorithms by using differentparameters of the corresponding algorithms. While you are classifying the dataset usepercentage split and k-fold cross validation to compare the results. You should explain allthe attributes in detail and give brief information about the classifiers you are working with.Lastly use some items with unknown class labels and determine their classes with Weka.2)Also apply the Appriori algorithm on another dataset that you choose. Explain all therules and make some comments about the rules that you will find.

Answered: PROJECT: 1) By using one arff dataset…

Computer Networking: A Top-Down Approach (7th Edition)

7th Edition

ISBN:9780133594140

Author:James Kurose, Keith Ross

Publisher:James Kurose, Keith Ross

Chapter1: Computer Networks And The Internet

Section: Chapter Questions

Problem R1RQ: What is the difference between a host and an end system? List several different types of end...

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PROJECT: 1) By using one arff dataset you should apply three different classification algorithm and you should compare the performances of those classification algorithms by using different parameters of the corresponding algorithms. While you are classifying the dataset use percentage split and k-fold cross validation to compare the results. You should explain all the attributes in detail and give brief information about the classifiers you are working with. Lastly use some items with unknown class labels and determine their classes with Weka. 2) Also apply the Apprior algorithm on another dataset that you choose. Explain all the rules and make some comments about the rules that you will find.