Given the following dataset below, I need to construct a classification rule for class = "3" using the Simple Covering Algorithm. I need to show all stages/steps of rule construction and all of my calculations. Hope you can help because I need it!
Dataset:
Attribute Information:
Last attribute – Classification Attribute - 3 classes
1: the patient should be fitted with hard contact lenses,
2: the patient should be fitted with soft contact lenses,
3: the patient should not be fitted with contact lenses.
Other attributes, given by order and their value:
1.age of patient: (1) young, (2) pre-presbyopic, (3) presbyopic
2.spectacle prescription: (1) myope, (2) hypermetrope
3.astigmatic: (1) no, (2) yes
4.tear production rate: (1) reduced, (2) normal
The first attribute is ID number for an instance/record.Do not consider ID number for classification.
Dataset:
1 1 1 1 1 3
2 1 1 1 2 2
3 1 1 2 1 3
4 1 1 2 2 1
5 1 2 1 1 3
6 1 2 1 2 2
7 1 2 2 1 3
8 1 2 2 2 1
9 2 1 1 1 3
10 2 1 1 2 2
11 2 1 2 1 3
12 2 1 2 2 1
13 2 2 1 1 3
14 2 2 1 2 2
15 2 2 2 1 3
16 2 2 2 2 3
17 3 1 1 1 3
18 3 1 1 2 3
19 3 1 2 1 3
См. статью: Data Mining Help Needed?