WEKA Screencasts

001_WEKA converting to ARFF:

Your first WEKA tutorial is simply the basics of converting files into a format that WEKA works with its ARFF (Attribute-Relation File Format) file is an ASCII text file that describes a list of instances sharing a set of attributes. ARFF files were developed by the Machine Learning Project at The University of Waikato by Ian Witten This tutorial quickly shows how to convert and Excel file to CSV to ARFF. Click here to see Ian Witten.

002_WEKA viewing plots:

Your second WEKA tutorial is again very basic in that it shows the various ways and parameters available for the viewing of data. Dr. Lewis quickly shows the nuts and bolts of this but it may behoove you to experiment around here and look at the many instances of plot visualization at your disposal because one day a particular view of your data may bring to light something you may otherwise have missed.

003_WEKA Discretizations:

Your third WEKA tutorial starts to get into the nuts and bolts of Knowledge Discovery in Databases. here we introduce you to converting numerical data into nominal forms where we bin certain variations of attributes into discretized modules. Discrimination is the process of converting continuous features or variables to discretized or nominal features. In this tutorial we practice two types of discretization: Discretization by Equal Interval Binning and Discretization by Equal Frequency Binning .

004_WEKA C4.5:

Your fourth WEKA tutorial shows howto use Weka's J48 algorithm which emulates Quinlan's C4.5 algorithm which is an extension of his ID3 algorithm that accounts for unavailable values, continuous attribute value ranges, pruning of decision trees, rule derivation, and so on.