Load the soybean diagnosis data set in Weka (found in Weka-3.6/data/soybean.arff), then perform the following:Build a decision tree by selecting J48 as the classifier and 10-way cross-validation. Then fill out the following table:Correctly Classified Instances Incorrectly Classified Instances Kappa statistic Mean absolute error Root mean squared error Relative absolute error Root relative squared error Total Number of Instances Build a Naïve Bayes classifier and select 10-way cross-validation. Then fill out the following table:Correctly Classified Instances Incorrectly Classified Instances Kappa statistic Mean absolute error Root mean squared error Relative absolute error Root relative squared error Total Number of Instances Compare between results in previous two sections (a and b), which algorithm give the better result and why?

For a decision tree classifier, you can use the J48 algorithm in Weka and select 10-way…

Answered: Load the soybean diagnosis data set in…

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

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Load the soybean diagnosis data set in Weka (found in Weka-3.6/data/soybean.arff), then perform the following:

Build a decision tree by selecting J48 as the classifier and 10-way cross-validation. Then fill out the following table:

Correctly Classified Instances
Incorrectly Classified Instances
Kappa statistic
Mean absolute error
Root mean squared error
Relative absolute error
Root relative squared error
Total Number of Instances

Build a Naïve Bayes classifier and select 10-way cross-validation. Then fill out the following table:

Correctly Classified Instances
Incorrectly Classified Instances
Kappa statistic
Mean absolute error
Root mean squared error
Relative absolute error
Root relative squared error
Total Number of Instances

Compare between results in previous two sections (a and b), which algorithm give the better result and why?

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