Using Weka to experiment learning algorithms
--------------------------------------------

Weka is a freeware tool written in Java which has a lot of data mining and machine learning algorithms implemented.
You can use it to understand the algorithms, and more interesting for understanding the results you obtained by using the
algorithms. The online lecture from Ian Witten [W1] can help you understand it.

1a) Install Weka from the binary from the lab's folder, or from the Internet
1b) If you want to install on a Faculty's workstation, you won't be able to inslatt. An alternative solution is to
unpack the weka-3-9-3.zip file, then double click on weka.jar which will open the GUI
1c) If you want to install on Mac or on Linux, use the method from 1b)

2) Look at the example from the video file and try to experiment different tree clasification algorithms:
J48 is explained in the video: Data Mining with Weka -1-4- Building a classifier-.mp4
Try HoeffdingTree, RandomForest and others
The video is from [W1].

3) Continue with the examples from minute 5 in the second video, also for J48:
Data Mining with Weka -1-5- Using a filter -.mp4


Bibliography:
[W1] Ian Witten - Data Mining with Weke, online, last visited, nov 2018, 
https://www.cs.waikato.ac.nz/ml/weka/mooc/dataminingwithweka/