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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 the Management of Data Store Every system irrespective of its nature of application requires storing permanent data for consequent use in problem solving. Some objects
Use of partial data by applications : In common, applications work with views rather than whole relations. Thus, it may be more appropriate to work with subsets of relations rather
What is a Data Flow Diagram? Data Flow Diagram: A data flow diagram is the graph that shows flow of data values from their sources in objects in the course of processes whic
Design a gennalization and specialization hierarchy for an automobile sales company
Question 1 What are the advantages of DBMS approach in managing data? Question 2 What are the services provided by a database system Question 3 List and briefly describe
Which operation is used if we are interested in only certain columns of a table? PROJECTION operation is used if we are interested in only certain columns of a table.
explain the level architectures of the database management system
please i request for your assistance in developing a case-based online phone repair
a need some real life examples of database management systems three level of ANSI SPARC architecture life teacher and student ,company and employee or for NGO etc.
You are to write a property management database program that allows a real estate agent to view, add, search, and save property listings. The program is to do the following: 1.
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