WEKA basics
• Launch the WEKA
Application
• Select ‘Explorer’
• Load
’50_weka_class_labeled.arff’
• Select various Attributes
(features)
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WEKA basics
• Attribute selection with
regular expressions (‘.*’ is
an expanding wild card)
• Find all the MFCC
attributes
• also select ‘CLASS’
• press ‘Invert’, then
‘Remove’
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using a classifier
• Select ‘Classify’ tab
• ‘Choose’ >>
‘classifiers/bayes/
NaiveBayes’
• set test options to
‘Cross-validation’
• press ‘Start’
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putting it all together
• now repeat the whole process using LPC features
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Explore more files and
features
• Load ‘training_data_after_parsing.arff’
• Classify against the CLASS mood labels using Random
Forests and J48. Which performs better? Which classes
are most confused?