Quickstart¶
This short How-To guides you from downloading the hyperSMURF weka plugin and load it into weka.
- Download the current stable 0.3 release from our GitHub project by clicking here.
- Download the latest 3.9 development version of Weka here and install it.
- Open Weka and navigate to the Package Manager (Tools -> Package manager).
- Install the
hyperSMURF-0.3-weka.zip file (Unofficial File/URL -> Browse -> OK). - Restart Weka. If you open the package explorer again you will see the hyperSMURF classifier under the Installed tab.
- Download example data quickstart_example.arff.gz
- Open the Weka Explorer. In the Preprocess tab click Open file... then navigate to the dowloaded quickstart_example.arff.gz and select it. Choose as filetype *.arff.gz and open the data.
- Now you should be able to switch to the Classify tab and choose the hyperSMURF classifier under weka -> classifiers -> trees. After that you can start the classification and the classifier output should display results without errors. The end of the output should look like:
Time taken to build model: 7.6 seconds
=== Stratified cross-validation ===
=== Summary ===
Correctly Classified Instances 8744 87.44 %
Incorrectly Classified Instances 1256 12.56 %
Kappa statistic 0.7322
Mean absolute error 0.2089
Root mean squared error 0.2881
Relative absolute error 49.7147 %
Root relative squared error 62.8514 %
Total Number of Instances 10000
=== Detailed Accuracy By Class ===
TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class
0,823 0,006 0,997 0,823 0,902 0,758 0,993 0,997 c0
0,994 0,177 0,707 0,994 0,826 0,758 0,993 0,985 c1
Weighted Avg. 0,874 0,057 0,910 0,874 0,879 0,758 0,993 0,993
=== Confusion Matrix ===
a b <-- classified as
5759 1239 | a = c0
17 2985 | b = c1