Index

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

Topic   Step
Datasets Breast-cancer 5.2, 5.3, 5.4, 5.5, 5.11, 5.13
  Credit-g 5.2, 5.3, 5.4, 5.5, 5.11, 5.13
  Diabetes 5.2, 5.3, 5.4, 5.5, 5.11, 5.12, 5.13
  Glass 5.4, 5.5, 5.10, 5.11, 5.13
  Ionosphere 5.2, 5.3, 5.4, 5.5, 5.11, 5.13
  Iris 5.3, 5.4, 5.5
  Reuters-Corn-train/test 5.15
  Sentiment 5.17
  Weather 5.4, 5.14, 5.15
Classifiers IBk 5.4, 5.11, 5.13
  J48 5.3, 5.4, 5.10, 5.11, 5.12, 5.15
  MultilayerPerceptron 5.4, 5.5
  NaiveBayes 5.3, 5.4, 5.11, 5.15
  NaiveBayesMultinomial 5.14, 5.15, 5.17
  OneR 5.4, 5.17
  SMO 5.2, 5.3, 5.4, 5.14, 5.15
  VotedPerceptron 5.2, 5.3, 5.4
  ZeroR 5.4, 5.10, 5.17
Metalearners AdaBoostM1 5.4
  CVParameterSelection 5.12, 5.13
  FilteredClassifier 5.10, 5.11
  GridSearch 5.12
  ThresholdSelector 5.12
Filters NonSparseToSparse 5.14, 5.15
  RemoveMisclassified 5.17
  RemoveWithValues 5.3
  Resample 5.10, 5.11, 5.17
  SparseToNonSparse 5.14
  StringToWordVector 5.14, 5.15
Plus … Experimenter interface 5.3, 5.4, 5.5, 5.10, 5.13, 5.15

Share this article:

This article is from the free online course:

More Data Mining with Weka

The University of Waikato

Get a taste of this course

Find out what this course is like by previewing some of the course steps before you join: