The relevant data files can be found in the Work Package 2 folder on the Moodle webpage.

INSTRUCTIONS TO CANDIDATES

ANSWER ALL QUESTIONS

Business Intelligence 

Requirement: 

Business Intelligence Work Package 2 Software Required: Rapidminer Submission Requirement: .rmp file

Using Rapidminer, you are required to:

a) Read in the heart-Training data from the heart-Training.csv file. (10 Marks)

b) Clean the data in the CSV file. (30 Marks)

c) Develop four separate models that can classify the target label using the cross validation technique. (30 Marks)

d) Identify the best model using suitable techniques. (15 Marks)

e) Apply the best model to the unseen data file (heart-Unseen.xlsx) and predict which of the patients could possibly have heart disease. (15 Marks)

Notes:

1. The relevant data files can be found in the Work Package 2 folder on the Moodle webpage. There are two files saved there, they are :

a. Heart-Training.csv

b. Heart_Unseen.xlsx

2. The data set is a small data set, there are only 1,000 samples in the training data set.

3. All pre-processing of data and model generation / comparison must be carried out using the Rapidminer software. Wherever possible and relevant, you should document/annotate all of the operators.

4. Marks will be deducted (up to 10%) for cluttered presentation of Rapidminer processes.

5. Please ensure that you submit your .rmp file ( containing all of the relevant operators) through the Moodle link setup for Workpackage 2. Failure to do so will result in a zero grade.

6. The due date for this assignment 29th March 2021 @ 09:00

Context

The "goal" of this dataset is to identify the presence of heart disease in the patient. The Target column is integer valued from 0 (no presence) to 1 (Heart Disease present).

Content

Attribute Information:

01. Age Patient's Age in years (Numeric)

02. sex Patient's Gender Male as 1 Female as 0 (Nominal)

03. cp Type of chest pain categorized into 1 typical, 2 typical angina, 3 non- anginal pain, 4 asymptomatic 

04. resting bp s Level of blood pressure at resting mode in mm/HG (Numerical)

05. cholesterol serum cholestoral in mg/dl

06. fbs fasting blood sugar > 120 mg/dl (1 = true, 0 = false)

07. restecg electrocardiographic results (values 0,1,2)

08. Max heart rate maximum heart rate achieved

09. Exercise angina exercise induced angina

10. oldpeak ST depression induced by exercise relative to rest

11. slope the slope of the peak exercise ST segment

12. target heart disease detected (1 = true, 0 = false)

Attachments:

Related Questions

. The fundamental operations of create, read, update, and delete (CRUD) in either Python or Java

CS 340 Milestone One Guidelines and Rubric  Overview: For this assignment, you will implement the fundamental operations of create, read, update,

. Develop a program to emulate a purchase transaction at a retail store. This  program will have two classes, a LineItem class and a Transaction class

Retail Transaction Programming Project  Project Requirements:  Develop a program to emulate a purchase transaction at a retail store. This

. The following program contains five errors. Identify the errors and fix them

7COM1028   Secure Systems Programming   Referral Coursework: Secure

. Accepts the following from a user: Item Name Item Quantity Item Price Allows the user to create a file to store the sales receipt contents

Create a GUI program that:Accepts the following from a user:Item NameItem QuantityItem PriceAllows the user to create a file to store the sales receip

. The final project will encompass developing a web service using a software stack and implementing an industry-standard interface. Regardless of whether you choose to pursue application development goals as a pure developer or as a software engineer

CS 340 Final Project Guidelines and Rubric  Overview The final project will encompass developing a web service using a software stack and impleme