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Use the IRIS dataset that comes with Weka to compare the classification performance of the following algorithms.
1. NaiveBayesSimple
2. MultiLayerPerceptron
For each classifier, run the test once using the training set for testing, and once using 5-fold cross-validation.
•Write a short report that explains your work. This report should address the following issues. ?Description of the dataset.
1. A table describing the results.
2. A discussion/explanation of the results and the algorithms' performance. Also, explain why the accuracy is higher when "use training set" is selected for testing, rather than "cross-validation".
explain normalisation
We have a new website where I need someone to 1: Inhabit the back end with all the recruitment agencies in the UK. I require someone who is not manually going to do this, but who w
Product adder required for Ecommerce website Project Description: Want a product adder for 500 products I have a magento website and need products pulled from site A to my si
a) Suppose we updated the catalog tables in real time, that is, after every update, insert, or delete SQL statement were executed-rather than only running RUNSTATS once every few
Consider employee table of (i) and list names of department(s) for which average salary for department is more than 10,000. (SELECT d_name FROM dept WHERE d_code IN (SELECT d_c
can you please explain with the help of suitable example the difference between conflict equivalence and conflict serializability?
Consider the following database containing five transactions. Let min_sup = 60%. Mine all frequent itemsets using Apriori and FP-growth algorithm. Compare the efficiency of the t
i need to implememnt a treee based mining algorithm. do you have an expert that can do that?
what is natural join?
Need for Multiple Access Paths In practice, most of the online information systems need the support of multi-key files. For example, consider a banking database application hav
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