IMPORTANT: make sure there are no old versions of Weka (<3.7.2) in your CLASSPATH before starting Weka
java -jar weka.jar
For a command line package manager type: Substring matching is also supported. E.g. try:
Running packaged algorithms from the command line
java weka.Run [algorithm name]java weka.Run BayesAvailable Packages (128)
AnDE Classification Averaged N-Dependence Estimators (includes A1DE and A2DE)
ArabicStemmers_LightStemmers Preprocessing Arabic Stemmer / Light Stemmer
CHIRP Classification CHIRP: A new classifier based on Composite Hypercubes on Iterated Random Projections
CLOPE Clustering CLOPE: a fast and effective clustering algorithm for transactional data
DMNBtext Text classification Class for building and using a Discriminative Multinomial Naive Bayes classifier
DTNB Classification Class for building and using a decision table/naive bayes hybrid classifier.
DilcaDistance Distance Learning distance measure for categorical data
DistributionBasedBalance Preprocessing Distribution-based balancing of datasets
EMImputation Preprocessing Replaces missing numeric values using Expectation Maximization with a multivariate normal model.
EvolutionarySearch Attribute selection An Evolutionary Algorithm (EA) to explore the space of attributes.
GPAttributeGeneration Classification, Preprocessing Genetic Programming Attribute Generation
J48graft Classification Class for generating a grafted (pruned or unpruned) C4.5 decision tree
JDBCDriversDummyPackage Misc Dummy package that provides a place to drop JDBC driver jar files so that they get loaded by the system.
LVQ Clustering Cluster data using the Learning Vector Quantization algorithm.
LibLINEAR Classification A wrapper class for the liblinear classifier
LibSVM Classification A wrapper class for the libsvm tools
NNge Classification Nearest-neighbor-like algorithm using non-nested generalized exemplars (which are hyperrectangles that can be viewed as if-then rules)
PCP Visualization Parallel Coordinates Plot
PSOSearch Attribute selection An implementation of the Particle Swarm Optimization (PSO) algorithm to explore the space of attributes.
RBFNetwork Classification/regression Classes that implement radial basis function networks.
RPlugin R integration Execute R Scripts
RerankingSearch Attribute selection Meta-Search algorithm which performs a Hybrid feature selection based on re-ranking
SMOTE Preprocessing Resamples a dataset by applying the Synthetic Minority Oversampling TEchnique (SMOTE).
SPegasos Classification Implements the stochastic variant of the Pegasos (Primal Estimated sub-GrAdient SOlver for SVM) method of Shalev-Shwartz et al. (2007).
SSF Attribute Selection Simplified Silhouette Filter
SVMAttributeEval Attribute selection Evaluates the worth of an attribute by using an SVM classifier.
SelfOrganizingMap Clustering Cluster data using the Kohonen's Self-Organizing Map algorithm.
SparseGenerativeModel Text classification Sparse Generative Model
TPP Visualization Targeted Projection Pursuit
WekaExcel Converter WEKA MS Excel loader/saver
WekaODF Converter WEKA ODF loader/saver
XMeans Clustering Cluster data using the X-means algorithm.
alternatingDecisionTrees Classification Binary-class alternating decision trees and multi-class alternating decision trees.
anonymizationPackage Preprocessing A Filter to apply k-anonymization and l-diversity
associationRulesVisualizer Visualization A visualization component for displaying association rules that uses a modified version of the Association Rules Viewer from DESS IAGL of Lille.
attributeSelectionSearchMethods Attribute selection Four search methods for attribute selection: ExhaustiveSearch, GeneticSearch, RandomSearch and RankSearch.
averagedOneDependenceEstimators Classification Family of methods for learning ensembles of naive Bayes-like classifiers (with relaxed independence assumption) - includes AODE, WAODE and AODEsr
bayesianLogisticRegression Text classification Implements Bayesian Logistic Regression for both Gaussian and Laplace Priors
bestFirstTree Classification Class for building a best-first decision tree classifier.
cascadeKMeans Clustering k-means clustering with automatic selection of k
cassandraConverters Converters Loader and saver for the cassandra NoSQL database
chiSquaredAttributeEval Attribute selection Attribute evaluator that evaluates the worth of an attribute by computing the value of the chi-squared statistic with respect to the class.
citationKNN Multi-instance learning Modified version of the Citation kNN multi instance classifier
classAssociationRules Associations Class association rules algorithms (including an implementation of the CBA algorithm).
classificationViaClustering Classification A simple meta-classifier that uses a clusterer for classification.
classificationViaRegression Classification Class for doing classification using regression methods.
classifierBasedAttributeSelection Attribute selection A subset evaluator and an attribute evaluator for evaluating the merit of subsets and single attributes respectively using a classifier.
classifierErrors Visualization A visualization component for displaying errors from numeric schemes using the JMathTools library.
complementNaiveBayes Classification Class for building and using a Complement class Naive Bayes classifier.
conjunctiveRule Classification This class implements a single conjunctive rule learner that can predict for numeric and nominal class labels.
consistencySubsetEval Attribute selection Evaluates the worth of a subset of attributes by the level of consistency in the class values when the training instances are projected onto the subset of attributes.
costSensitiveAttributeSelection Attribute selection Two meta attribute selection evaluators (one attribute-based and the other subset-based) for performing cost-sensitive attribute selection.
dagging Ensemble learning This meta classifier creates a number of disjoint, stratified folds out of the data and feeds each chunk of data to a copy of the supplied base classifier.
decorate Ensemble learning DECORATE is a meta-learner for building diverse ensembles of classifiers by using specially constructed artificial training examples
denormalize Preprocessing An instance filter that collapses instances with a common grouping ID value into a single instance.
ensembleLibrary Ensemble learning Manages a libary of ensemble classifiers
ensemblesOfNestedDichotomies Ensemble learning A meta classifier for handling multi-class datasets with 2-class classifiers by building an ensemble of nested dichotomies.
extraTrees Classification Package for generating a single Extra-Tree
fastCorrBasedFS Attribute selection Feature selection method based on correlation measureand relevance and redundancy analysis
filteredAttributeSelection Attribute selection Two meta attribute selection evaluators (one attribute-based and the other subset-based) for filtering data before performing attribute selection.
functionalTrees Classification Classifier for learning Functional Trees
fuzzyLaticeReasoning Classification The Fuzzy Lattice Reasoning Classifier uses the notion of Fuzzy Lattices for creating a Reasoning Environment
fuzzyUnorderedRuleInduction Classification Fuzzy Unordered Rule Induction Algorithm
gaussianProcesses Regression Implements Gaussian Processes for regression without hyperparameter-tuning.
generalizedSequentialPatterns Associations Class implementing a GSP algorithm for discovering sequential patterns in a sequential data set
grading Ensemble learning Implements Grading. The base classifiers are "graded".
gridSearch Classification Performs a grid search of parameter pairs for the a classifier.
hiddenNaiveBayes Classification Contructs Hidden Naive Bayes classification model with high classification accuracy and AUC
hiveJDBC Misc A package containing the JDBC driver and dependencies for the Apache Hive database, along with a DatabaseUtils.props file for use with Weka.
hotSpot Associations HotSpot learns a set of rules (displayed in a tree-like structure) that maximize/minimize a target variable/value of interest.
hyperPipes Classification Class implementing a HyperPipe classifier.
isolationForest Outlier Class for building and using a classifier built on the Isolation Forest anomaly detection algorithm.
isotonicRegression Regression Learns an isotonic regression model.
jfreechartOffscreenRenderer KnowledgeFlow Offscreen chart renderer plugin for the Knowledge Flow that uses JFreeChart
jsonFieldExtractor Knowledge Flow Extract fields from repeating JSON structures.
kfGroovy KnowledgeFlow A Knowledge Flow plugin that provides a Knowledge Flow step that wraps around a Groovy script.
kfKettle KnowledgeFlow A Knowledge Flow plugin that serves as a data source for data coming from the Kettle ETL tool.
kfPMMLClassifierScoring KnowledgeFlow A Knowledge Flow plugin that provides a Knowledge Flow step for scoring test sets or instance streams using a PMML classifier.
latentSemanticAnalysis Preprocessing Performs latent semantic analysis and transformation of the data
lazyAssociativeClassifier Classification Lazy Associative Classifier
lazyBayesianRules Classification Lazy Bayesian Rules Classifier
leastMedSquared Regression Implements a least median squared linear regression utilizing the existing weka LinearRegression class to form predictions.
levenshteinEditDistance Distance measure Computes the Levenshtein edit distance between two strings
linearForwardSelection Attribute selection Extension of BestFirst that takes a restricted number of k attributes into account.
localOutlierFactor Outlier Filter implementing the Local Outlier Factor (LOF) outlier/anomaly detection algorithm.
massiveOnlineAnalysis Data streams MOA (Massive On-line Analysis).
metaCost Classification This metaclassifier makes its base classifier cost-sensitive using Pedro Domingo's method.
multiBoostAB Ensemble learning Class for boosting a classifier using the MultiBoosting method.
multiInstanceFilters Preprocessing A collection of filters for manipulating multi-instance data.
multiInstanceLearning Multi-instance learning A collection of multi-instance learning classifiers.
multiLayerPerceptrons Classification/Regression This package currently contains classes for training multilayer perceptrons with one hidden layer for both classification and regression problems,
multilayerPerceptronCS Classification An extension of the standard MultilayerPerceptron classifier in Weka that adds context-sensitive Multiple Task Learning (csMTL)
naiveBayesTree Classification Class for generating a decision tree with naive Bayes classifiers at the leaves.
normalize Preprocessing An instance filter that normalize instances considering only numeric attributes and ignoring class index
oneClassClassifier Classification Performs one-class classification on a dataset.
optics_dbScan Clustering The OPTICS and DBScan clustering algorithms
ordinalClassClassifier Classification Meta classifier that allows standard classification algorithms to be applied to ordinal class problems.
ordinalLearningMethod Classification An implementation of the Ordinal Learning Method (OLM)
ordinalStochasticDominance Classification An implementation of the Ordinal Stochastic Dominance Learner
paceRegression Regression Class for building pace regression linear models and using them for prediction.
partialLeastSquares Preprocessing Partial least squares filter and classifier for performing PLS regression.
predictiveApriori Associations Class implementing the predictive apriori algorithm for mining association rules.
prefuseGraph Visualization A visualization component for displaying graphs that uses the prefuse visualization toolkit.
prefuseGraphViewer KnowledgeFlow A Knowledge Flow visualization component for displaying trees and graphs that uses the prefuse visualization toolkit.
prefuseTree Visualization A visualization component for displaying trees that uses the prefuse visualization toolkit.
probabilisticSignificanceAE Attribute Selection Evaluates the worth of an attribute by computing the Probabilistic Significance as a two-way function
raceSearch Attribute Selection Races the cross validation error of competing attribute subsets.
racedIncrementalLogitBoost Ensemble learning Classifier for incremental learning of large datasets by way of racing logit-boosted committees.
realAdaBoost Ensemble learning Class for boosting a 2-class classifier using the Real Adaboost method.
regressionByDiscretization Regression A regression scheme that employs any classifier on a copy of the data that has the class attribute (equal-width) discretized.
ridor Classification An implementation of a RIpple-DOwn Rule learner.
rotationForest Ensemble learning Ensembles of decision trees trained on rotated subsamples of the training data.
sasLoader Converter SAS sas7bdat file reader
scatterPlot3D Visualization A visualization component for displaying a 3D scatter plot of the data using Java 3D.
scriptingClassifiers Classification Wrapper classifiers for Jython and Groovy scripting code.
sequentialInformationalBottleneckClusterer Clustering Cluster data using the sequential information bottleneck algorithm.
simpleCART Classification Class implementing minimal cost-complexity pruning.
simpleEducationalLearningSchemes Classification Simple learning schemes for educational purposes (Prism, Id3, IB1 and NaiveBayesSimple).
stackingC Ensemble learning Implements StackingC (more efficient version of stacking)
tabuAndScatterSearch Attribute selection Search methods contributed by Adrian Pino (ScatterSearchV1, TabuSearch)
tertius Associations Finds rules according to confirmation measure (Tertius-type algorithm)
thresholdSelector Classification A metaclassifier that selecting a mid-point threshold on the probability output by a Classifier.
timeseriesForecasting Time series Time series forecasting environment.
userClassifier Classification/regression Interactively classify through visual means.
votingFeatureIntervals Classification Classification by voting feature intervals.
wavelet Preprocessing A filter for wavelet transformation.
wekaServer Server Simple server for executing Weka tasks.
winnow Classification Implements Winnow and Balanced Winnow algorithms by Littlestone