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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".
Develop a database broker framework to implement a persistence mechanism for the domain objects involved in the use case dealt with in Question 2. a. Specify the attribute type
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Write short notes on Schema diagram. A database schema along with primary key and foreign key dependencies can be depicted pictorially by schema diagram. Every relation appea
What is the aim of logical schema ? The main motive of the logical schema is to ensure the portability of procedures and models on various physical schemas at runtime.
compare the features of oracle RDBMS with MySQL and Microsoft SQL server
Define weak and strong entity sets? Weak entity set: entity set that do not have key attribute of their own are known as weak entity sets. Strong entity set: Entity set that
Write a query to define tables students and teachers as sub tables of people? Create table students of student under people Create table teachers of teacher under people
Create a table according to given data: AmbulanceDriver(Driver_Number#, Name, Address, Birth_Date) AmbulanceDriverTeam(Team_Number#, Driver_Number#, Join_Date, Lea
Define weak and strong entity sets? Weak entity set: entity set that do not have key attribute of their own are known as weak entity sets. Strong entity set
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