Index

(A full index to the course appears at the end of Week 1.)

Topic   Step
Datasets Breast-cancer 3.11, 3.12, 3.14
  Diabetes 3.4
  Glass 3.5, 3.13, 3.14
  Iris 3.3
  Weather 3.2, 3.4, 3.5, 3.6, 3.9, 3.11
Classifiers IBk 3.13, 3.14
  J48 3.9, 3.10, 3.11, 3.12
  NaiveBayes 3.6, 3.7
  OneR 3.2, 3.3, 3.4, 3.5
Filters AddNoise 3.14
  Copy 3.7
Plus … Baseline accuracy 3.3
  Bayes theorem 3.6
  Classify panel “More options” 3.10
  Decision trees 3.9, 3.10, 3.11
  Information gain 3.9
  Output model 3.10
  Output predictions 3.10
  Overfitting 3.4, 3.5
  Visualize predictions 3.10

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Data Mining with Weka

The University of Waikato

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