I have had a very difficult time trying to get pydelicious to work. I’m using a Windows XP machine and have done multiple Google searches on “how to install pydelicious”. I find every entry confusing and not very helpful. I’ve even looked at blog entries from classmates and couldn’t follow their installations, whether a different operating system or not. I’m going to get together with a member of my team to work through it.
Weka Part 1
Although the sample dataset is included when Weka is downloaded, I wanted to go through the process of creating an ARFF file from Microsoft Excel. I created the weather dataset in Excel and saved it as a CSV file. Then I opened it in Notepad to add the ARFF file tags: @relation, @attribute and @data.
Weka Part 2
After downloading the Cleveland Heart Disease dataset, I used the preprocess tab in the Weka Explorer to load the ARFF file. I ran the J48 decision tree from the classify tab and got this performance summary:
=== Summary ===
Correctly Classified Instances 235 77.5578 %
Incorrectly Classified Instances 68 22.4422 %
Kappa statistic 0.5443
Mean absolute error 0.1044
Root mean squared error 0.2725
Relative absolute error 52.0476 %
Root relative squared error 86.5075 %
Total Number of Instances 303