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Classifiers

Name Publication Description Attribute Class Papers
Bayes
AODE 2005 Improved Naive Bayes unary, binary, nominal binary, nominal  
AODEsr 2006 Improved AODE unary, binary, nominal binary, nominal  
BayesianLogisticRegression 2004 Bayesian Logistic Regression unary, binary, numeric binary  
BayesNet   A "framework" class that can construct different Bayesian Network classifiers with different estimators and search algorithms. unary, binary, nominal, numeric binary, nominal  
ComplementNaiveBayes 2003 Naive Bayes variant numeric binary, nominal  
DMNBText 2008 Discriminative Multinominal Naive Bayes numeric binary, nominal  
HNB 2005 Hidden Naive Bayes unary, binary, nominal binary, nominal  
NaiveBayes 1995 Naive Bayes unary, binary, nominal, numeric binary, nominal 1, 3
NaiveBayesMultinominal 1998 Multinominal Naive Bayes numeric binary, nominal  
NaiveBayesMultinominalUpdateable 1998 Multinominal Naive Bayes (Updatable) numeric binary, nominal  
NaiveBayesSimple 1973 Simple Naive Bayes

unary, binary, nominal, numeric,
date

 binary,
nominal		  
NaiveBayesUpdateable 1995 Naive Bayes (Updatable) unary, binary, nominal, numeric binary, nominal  
WAODE 2006 Weighted AODE unary, binary, nominal binary, nominal  
Functions
GaussianProcesses 1998 Gaussian processes for regression without hyperparameter-tuning unary, binary, nominal, numeric numeric, date  
IsotonicRegression -   numeric, date

numeric, date

  
LeastMedSq 1987   unary, binary, nominal, numeric, date numeric, 
date		  
LibLINEAR 2008   unary, binary, nominal, numeric, date binary,
nominal		  
LibSVM 2001, 2005   unary, binary, nominal, numeric, date binary,
nominal		  
LinearRegression - Linear Regression

unary, binary, nominal, numeric,
date

 numeric, date  
Logistic 1992 A multinomial logistic regression model with a ridge estimator.

unary, binary, nominal, numeric, 
date

 binary, nominal  
MultilayerPerceptron - A Classifier that uses backpropagation to classify instances.

unary, binary, nominal, numeric, 
date

binary,
nominal,
numeric, date,

  
PaceRegression 2000, 2002   unary, binary, numeric numeric, date  
PLSClasiifier -    numeric, date numeric,
date		  
RNFNetwork -    unary, binary, nominal, numeric    
SimpleLinearRegression - Simple Linear Regression numeric, date numeric, date  
Simple Logistic 2005 Linear Logistic Regression

unary, binary, nominal, numeric, 
date

 binary, nominal  
SMO 1998, 2001   unary, binary, nominal, numeric binary, nominal  
SMO reg 1998, 1999 Implements the support vector machine for regression unary, binary, nominal, numeric numeric, date  
SPegasos 2007   unary, binary, nominal, numeric binary  
Voted Perceptron 1998 Implementation of the voted perceptron algorithm by Freund and Schapire.

unary, binary, nominal, numeric, 
date

 binary  
Winnow 1988, 1989   unary, binary, nominal,  binary  
Lazy
IB1 1991 Nearest-neighbour classifier. unary, binary, nominal, numeric, date binary, nominal  
IBk 1991 k-nearest neighbours

unary, binary, nominal, numeric, 
date

 binary,
nominal,
numeric,
date		  
KStar 1995 Instance-based classifier

unary, binary, nominal, numeric, 
date

 binary,
nominal,
numeric,
date		  
LBR 2000 Lazy Bayesian Rules Classifier. unary, binary, nominal binary, nominal  
LWL 1996, 2003 Locally weighted learning

unary, binary, nominal, numeric, 
date

 binary,
nominal,
numeric,
date		  
Meta
AdaBoostM1 1996 Class for boosting a nominal class classifier.

unary, binary, nominal, numeric, 
date

 binary, nominal  
AdditiveRegression 1999 Enhances the performance of a regression base classifier.

unary, binary, nominal, numeric, 
date

 numeric, date  
AttributeSelectedClassifier - Dimensionality of training and test data is reduced by attribute selection before being passed on to a classifier.

unary, binary, nominal, numeric,
date

 binary,
nominal,
numeric,
date		  
Bagging 1996  

unary, binary, nominal, numeric, 
date

 binary,
nominal,
numeric,
date		  
ClassificationViaClustering - A simple meta-classifier that uses a clusterer for classification. unary, binary, nominal, numeric binary, nominal  
ClassificationViaRegression 1998 Doing classification using regression methods.

unary, binary, nominal, numeric, 
date

 binary, nominal  
CostSensitiveClassifier - Makes its base classifier cost-sensitive.

unary, binary, nominal, numeric, 
string, date, relational

 binary, nominal  
CVParemeterSelection 1995 Performing parameter selection by cross-validation for any classifier.

unary, binary, nominal, numeric, 
string, date, relational

 binary,
nominal,
numeric,
date		  
Dagging 1997   unary, binary, nominal, numeric binary, nominal  
Decorate 2003, 2004 Building diverse ensembles of classifiers by using specially constructed artificial training examples. unary, binary, nominal, numeric, date binary, nominal  
END 2004, 2005 Handling multi-class datasets with 2-class classifiers by building an ensemble of nested dichotomies. unary, binary, nominal, numeric, date binary, nominal  
FilteredClassifier - Running an arbitrary classifier on data that has been passed through an arbitrary filter.

unary, binary, nominal, numeric, 
string, date, relational

 binary, nominal  
Grading 2001 Implements Grading unary, binary, nominal, numeric, string, date, relational binary, nominal, numeric, date  
GridSearch -    numeric, date numeric, date  
LogitBoost 1998 Performing additive logistic regression.

unary, binary, nominal, numeric,
date

 binary, nominal  
MetaCost 1999   unary, binary, nominal, numeric, date, string, relational  binary, nominal  
MultiBoosting 2000 Boosting a classifier using the MultiBoosting method. unary, binary, nominal, numeric, date binary, nominal  
MultiClassClassifier - Handling multi-class datasets with 2-class classifiers.

unary, binary, nominal, numeric, 
date

 binary, nominal  
MultiScheme -  

unary, binary, nominal, numeric,
string, date, relational

 binary,
nominal,
numeric,
date		  
ClassBalancedND 2004, 2005 Handling multi-class datasets with 2-class classifiers by building a random class-balanced tree structure. unary, binary, nominal, numeric, date binary, nominal  
DataNearBalancedND 2004, 2005 Handling multi-class datasets with 2-class classifiers by building a random data-balanced tree structure. unary, binary, nominal, date  binary, nominal  
ND 2004, 2005 Handling multi-class datasets with 2-class classifiers by building a random tree structure. unary, binary, nominal, numeric, date binary, nominal  
OrdinalClassClassifier 2001 Allows standard classification algorithms to be applied to ordinal class problems. unary, binary, nominal, numeric, date binary, nominal  
RacedIncrementalLogitBoost 2002 Classifier for incremental learning of large datasets by way of racing logit-boosted committees. unary, binary, nominal, numeric, date  binary, nominal  
RandomCommittee - Building an ensemble of randomizable base classifiers

unary, binary, nominal, numeric, 
date

    
RandomSubSpace 1998  

unary, binary, nominal, numeric, 
date

 binary,
nominal,
numeric,
date		  
RegressionByDiscretization 2009  

unary, binary, nominal, numeric, 
date

 numeric, date  
RotationForest 2006 Class for construction a Rotation Forest. unary, binary, nominal, date binary, nominal  
Stacking 1992 Combines several classifiers using the stacking method.

unary, binary, nominal, numeric, 
string, date, relational

 binary,
nominal,
numeric,
date		  
StackingC 2002 More efficient version of stacking unary, binary, nominal, numeric, date, string, relational binary, nominal, numeric, date  
ThresholdSelector -    unary, binary, nominal, numeric, date binary  
Vote 1998, 2004 Combining classifiers.

unary, binary, nominal, numeric, 
string, date, relational

 binary,
nominal,
numeric,
date		  
MI
CitationKNN 2000 Modified version of the Citation kNN multi instance classifier. unary, binary, nominal, numeric, date, relational binary, nominal  
MDD 1998 Modified Diverse Density algorithm, with collective assumption. unary, binary, nominal, relational binary  
MIBoost 1996   unary, binary, nominal, numeric, date, string, relational binary  
MIDD 1998 Re-implement the Diverse Density algorithm, changes the testing procedure. unary, binary, nominal, relational binary  
MIEMDD 2001 EMDD model builds heavily upon Dietterich's Diverse Density (DD) algorithm. unary, binary, nominal, relational binary  
MILR - Uses either standard or collective multi-instance assumption, but within linear regression. unary, binary, nominal, relational binary  
MINND 2001 Multiple-Instance Nearest Neighbour with Distribution learner unary, binary, nominal, relational binary, nominal  
MIOptimalBall 2004   unary, binary, nominal, relational binary  
MISMO 1998, 2001 Implements John Platt's sequential minimal optimization algorithm for training a support vector classifier. unary, binary, nominal, numeric, relational binary, nominal  
MISVM 2003 Implements Stuart Andrews' mi_SVM (Maximum pattern Margin Formulation of MIL). unary, binary, nominal, relational  binary  
MIWrapper 2003 A simple Wrapper method for applying standard propositional learners to multi-instance data. unary, binary, nominal, numeric, date, string, relational binary, nominal  
SimpleMI - Reduces MI data into mono-instance data. unary, binary, nominal, numeric, date, string, relational  binary, nominal  
Misc
HyperPipe - HyperPipe classifier unary, binary, nominal ,numeric, date  binary, nominal  
SerializedClassifier - A wrapper around a serialized classifier model. - -  
VFI 1997 voting feature intervals. unary, binary, nominal, numeric, date binary, nominal  
Rules
ConjunctiveRule - Implements a single conjunctive rule learner that can predict for numeric and nominal class labels. unary, binary, nominal, numeric, date binary, nominal, numeric, date  
DecisionTable 1995 Building and using a simple decision table majority classifier.

unary, binary, nominal, numeric,
date

 binary,
nominal,
numeric,
date		  
DNTB 2008 Building and using a decision table/naive bayes hybrid classifier. unary, binary, nominal, numeric, date binary, nominal  
JRip 1995 Implements a propositional rule learner, Repeated Incremental Pruning to Produce Error Reduction (RIPPER)

unary, binary, nominal, numeric,
date

 binary, nominal  
M5Rules 1992, 1997, 1999 Generates a decision list for regression problems using separate-and-conquer.

unary, binary, nominal, numeric,
date

 numeric, date  
NNge 1995,2002   unary, binary, nominal, numeric, date binary, nominal  
OneR 1993 1R classifier.

unary, binary, nominal, numeric,
date

 binary, nominal  
PART 1998 PART decision list.

unary, binary, nominal, numeric,
date

 binary, nominal  
Prism 1987 Building and using a PRISM rule set for classification. unary, binary, nominal binary, nominal  
Ridor - An implementation of a RIpple-DOwn Rule learner. unary, binary, nominal, numeric, date binary, nominal  
ZeroR - 0-R classifier.

unary, binary, nominal, numeric,
string, date, relational

 binary,
nominal,
numeric,
date		  
Trees
ADTree 1999 Class for generating an alternating decision tree. unary, binary, nominal, numeric, date binary  
BFTree 2000, 2007 Class for building a best-first decision tree classifier. unary, binary, nominal, numeric binary  
DecisionStump - Class for building and using a decision stump.

unary, binary, nominal, numeric,
date

 binary,
nominal,
numeric,
date		  
FT 2004, 2005 Functional trees unary, binary, nominal, numeric, date binary, nominal  
Id3 1986 Class for constructing an unpruned decision tree based on the ID3 algorithm. unary, binary, nominal binary, nominal  
J48 1993 Generating a pruned or unpruned C4

unary, binary, nominal, numeric,
date

 binary, nominal 1, 2, 3, 4, 5
J48graft 1999 Class for generating a grafted (pruned or unpruned) C4. unary, binary, nominal, numeric,  binary, nominal  
LADTree 2001 Class for generating a multi-class alternating decision tree using the LogitBoost strategy. unary, binary, nominal , numeric, date binary, nominal  
LMT 2005 Logistic Model Trees

unary, binary, nominal, numeric,
date

 binary, nominal  
M5P 1992, 1997 M5 Base

unary, binary, nominal, numeric,
date

 numeric, date  
NBTree 1996 Class for generating a decision tree with naive Bayes classifiers at the leaves.

unary, binary, nominal, numeric,
date

 binary, nominal  
RandomForest 2001 Class for constructing a forest of random trees.

unary, binary, nominal, numeric,
date

 binary,
nominal,
numeric		  
RandomTree - Constructing a tree that considers K randomly  chosen attributes at each node.

unary, binary, nominal, numeric,
date

 binary,
nominal,
numeric		  
REPTree - Fast decision tree learner

unary, binary, nominal, numeric,
date

 binary,
nominal,
numeric,
date		  
SimpleCart 1984 Class implementing minimal cost-complexity pruning. unary, binary, nominal, numeric binary, nominal  
UserClassier 2001 Interactively classify through visual means. unary, binary, numeric, date, string, relation binary, nominal, numeric, date  

 
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