EREADER SCORING AND EREADER TRANING ANALYSIS USING RAPIDMINER (ASSIGNMENT 5)

I try to make the Decision Tree of eReader Scoring and eReader Training Analysis using the Rapidminer software. This assignment reference from Matthew North Book's about Data Mining for the Masses in Chapter 10 on page 157-174. There are about 8 step i take when making this process:

1. Add data and input the eReader Scoring.csv and eReader Training.csv file to Rapidminer software :

2.  Drag the file of eReader Scoring and eReader to the design work process. Then, Make 2 Set Role operators to both your training and scoring streams. In the Parameters area on the right hand side of the screen, set the role of the User_ID attribute to id. And then make the another set role for Training Streams and set the role of the eReader_Adoption attribute to label. After that, search in the Operators tab for Decision Tree. Select the basic Decision Tree operator and add it to your training stream. And then drag the Apply Model Operators and connect it to your decision tree and scoring set role operators. Then connect the Apply Model Operators to result point to finalized it and don't forget to click the Run.

3. Result with Decision Tree model

4. Result with Table Model

5. Result with Scatter Chart

6. Result with Statistics