Installation in Unix is fairly simple to do, making sure your CLASSPATH is set correctly to include the weka.jar. temperature=cool humidity=normal windy=FALSE 2 => play=yes 2 conf:(1) temperature=cool windy=FALSE 2 => humidity=normal play=yes 2 conf:(1)ġ0. outlook=sunny play=no 3 => humidity=high 3 conf:(1)ĩ. outlook=sunny humidity=high 3 => play=no 3 conf:(1)Ĩ. outlook=rainy play=yes 3 => windy=FALSE 3 conf:(1)ħ. outlook=rainy windy=FALSE 3 => play=yes 3 conf:(1)Ħ. temperature=cool play=yes 3 => humidity=normal 3 conf:(1)ĥ. outlook=overcast 4 => play=yes 4 conf:(1)Ĥ. temperature=cool 4 => humidity=normal 4 conf:(1)ģ. humidity=normal windy=FALSE 4 => play=yes 4 conf:(1)Ģ. I prefer the unix environment because it's run like any other Java program.įor example, a command line argument to play with some association mining followed by the results would be I've had a play around with Weka in unix and on windows. This subject contains the theory and some practical aspects of many basic Machine learning and data mining algorithms. This was the main software used by a Machine Learning subject taught at honours and masters level at my university. Weka is a Java program that contains data mining algorithms for data in arff (attribute-relation file format).
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