Transcript Hugin Lite 6.7

Weka
Preprocessing
Opening a file
Editing a file
Visualize a variable
Visualizing pairs of variables
Missing values
Discretizing with equalfrequency
Proportional k-interval discretization
FSS: ranking variables with mutual information
FSS
Filter FSS: CFS
Supervised classification paradigms
Assessing performance
Assessing performance
Bayesian classifiers
Naive Bayes
Naive Bayes
TAN
TAN
TAN
K-NN = Lazy
IB1
IBk
Rule induction
RIPPER
RIPPER
Classification trees: ID3, J48 (C4.5)
ID3
ID3
J48 (C4.5)
J48 (C4.5)
Logistic regression
Logistic regression
Combining classifiers
Combining classifiers
Combining classifiers
Exercise
All variables
Naive Bayes
TAN
IB1
IBk
RIPPER
Id3
C4.5
Logistic
FSS1
FSS2
Exercise
All variables
AdaBoostM1
Bagging
Stacking
Vote
LMT
NBTree
RandomForest
RandomTree
LBR
FSS1
FSS2