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 (211)
AffectiveTweets Text classification Text Filters for Analyzing Sentiment and Emotions of Tweets
AnDE Classification Averaged N-Dependence Estimators (includes A1DE and A2DE)
AnalogicalModeling Classification Analogical Modeling
ArabicStemmers_LightStemmers Preprocessing Arabic Stemmer / Light Stemmer
Auto-WEKA Classification, Regression, Attribute Selection Automatically find the best model and parameters for a dataset.
BANGFile Clustering BANG-File Clustering
CAIRAD Classification CAIRAD: A Co-appearance based Analysis for Incorrect Records and Attribute-values Detection
CFWNB Classification Contructs Correlation-based Feature Weighted Naive Bayes (CFWNB)
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
CSForest Classification CSForest
CVAttributeEval Attribute selection An Variation degree Algorithm to explore the space of attributes.
DMI Preprocessing DMI
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
EAR4 Regression, Ensemble learning Case-Based Regression Learner
EBMC Classification Efficient Bayesian Multivariate Classifier
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.
ForExPlusPlus Classification ForEx++: A New Framework for Knowledge Discovery from Decision Forests
ForestPA Classification ForestPA: Constructs a Decision Forest by Penalizing Attributes used in Previous Trees.
GPAttributeGeneration Classification, Preprocessing Genetic Programming Attribute Generation
GenClustPlusPlus Clustering GenClust++
HMM Classification, Multiinstance, Sequence Hidden Markov Model
IBkLG Classification Log and Gaussian kernel for K-NN
IPCP Visualization Interative Parallel Coordinates Plot
IWSS Attribute selection Incremental Wrapper Subset Selection
IWSSembeddedNB Attribute selection Incremental Wrapper Subset Selection with embedded NB classifier
J48Consolidated Classification Class for generating a pruned or unpruned C45 consolidated tree
J48PartiallyConsolidated Classification, Ensemble learning Class for generating a Partially Consolidated Tree-Bagging (PCTBagging) multiple classifier
J48graft Classification Class for generating a grafted (pruned or unpruned) C4.5 decision tree
JCDT Classification, Regression Java Credal Decision Tree (JCDT)
JCHAIDStar Classification Class for generating a decision tree based on the CHAID* algorithm
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, Regression A wrapper class for the libsvm tools
MODLEM Classification, Ensemble learning MODLEM rule algorithm
MultiObjectiveEvolutionaryFuzzyClassifier Classification MultiObjectiveEvolutionaryFuzzyClassifier
MultiObjectiveEvolutionarySearch Attribute selection An Multi-objective Evolutionary Algorithm (MOEA) to explore the attribute space.
NNge Classification Nearest-neighbor-like algorithm using non-nested generalized exemplars (which are hyperrectangles that can be viewed as if-then rules)
OpenmlWeka Classification, Experimenter Openml Weka
OptimizedForest Classification OptimizedForest
PSOSearch Attribute selection An implementation of the Particle Swarm Optimization (PSO) algorithm to explore the space of attributes.
PairwiseConsistencyAttributeEval Attribute selection Attribute evaluator that evaluates the worth of an attribute i by adding the consistency rates of the attribute subsets composed of attribute i and each of the other attributes.
PairwiseCorrelationAttributeEval Attribute selection Attribute evaluator that evaluates the worth of an attribute i by computing the mean of the worths (using CfsSubsetEval) of the attribute subsets composed of attribute i and each of the other attributes.
RBFNetwork Classification/regression Classes that implement radial basis function networks.
RPlugin R integration Execute R scripts and learning algorithms
RankCorrelation Metrics Rank Correlation Evaluation Metrics
RankerByDTClassification Classification, Visualization Ranker Based on Decision Tree Classification
RerankingSearch Attribute selection Meta-Search algorithm which performs a Hybrid feature selection based on re-ranking
Rseslib Classification Rough Sets, Rule Induction and Analogy-Based Reasoning
SMOTE Preprocessing Resamples a dataset by applying the Synthetic Minority Oversampling TEchnique (SMOTE).
SPAARC Classification SPAARC: Constructs a Decision Tree using Split-Point Sampling and Node Attribute Subsampling.
SPMFWrapper Associations SPMFWrapper
SPegasos Classification Implements the stochastic variant of the Pegasos (Primal Estimated sub-GrAdient SOlver for SVM) method of Shalev-Shwartz et al. (2007).
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.
SmoothPrivateForest Classification Smooth Private Forest for Differential Privacy
SparseGenerativeModel Text classification Sparse Generative Model
StudentFilters Preprocessing Student Filters
SysFor Classification SysFor: Systematically Developed Forest of Multiple Decision Trees.
TPP Visualization Targeted Projection Pursuit
WekaExcel Converter WEKA MS Excel loader/saver
WekaODF Converter WEKA ODF loader/saver
WekaPyScript Classification WekaPyScript
WiSARD Classification multi-class classifier using the WiSARD weightless neural network model.
XMeans Clustering Cluster data using the X-means algorithm.
alternatingDecisionTrees Classification Binary-class alternating decision trees and multi-class alternating decision trees.
alternatingModelTrees Regression Alternating Model Trees
arxAnonymizer Preprocessing ARX Anonymization Filter
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.
bayesianLogisticRegression Text classification Implements Bayesian Logistic Regression for both Gaussian and Laplace Priors
bestFirstTree Classification Class for building a best-first decision tree classifier.
calibrationCurve Visualization VisualizePlugin for plotting class probability calibration curves
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.
clojureClassifier Classification Wrapper classifiers for classifiers implemented in the Clojure programming language
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.
discriminantAnalysis Classification Classes for linear and quadratic discriminant analysis
distributedWekaBase Distributed Generic configuration classes and distributed map/reduce type tasks for Weka
distributedWekaHadoop Distributed Hadoop wrappers for Weka
distributedWekaHadoop2 Distributed Hadoop 2 wrappers for Weka
distributedWekaHadoop2Libs Distributed Hadoop 2.x libraries for distributedWekaHadoop
distributedWekaHadoopCore Distributed Core Hadoop wrappers for Weka
distributedWekaHadoopLibs Distributed Hadoop 1.x libraries for distributedWekaHadoop
distributedWekaSpark Distributed Spark wrappers for Weka
distributedWekaSpark2Dev Distributed Spark 2.x wrappers for Weka
distributedWekaSpark3Dev Distributed Spark 3.x wrappers for Weka
distributedWekaSparkDev Distributed Spark wrappers for Weka
dualPerturbAndCombine Classification and regression Class for building and using classification and regression trees based on the closed-form dual perturb and combine algorithm.
elasticNet Regression An implementation of the elastic net method for linear regression
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.
fourierTransform Preprocessing Filters for transforming using the fast fourier transform
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".
graphgram Clustering, Visualization GraphGram - Visualization for Clusterings
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.
imageFilters Preprocessing A package that contains filters to process image files.
isolationForest Outlier Class for building and using a classifier built on the Isolation Forest anomaly detection algorithm.
isotonicRegression Regression Learns an isotonic regression model.
iterativeAbsoluteErrorRegression Regression A meta learner that fits a regression model to minimize absolute error.
javaFXScatterPlot3D Visualization A visualization component for displaying a 3D scatter plot of the data using JavaFX 3D.
jfreechartOffscreenRenderer KnowledgeFlow Offscreen chart renderer plugin for the Knowledge Flow that uses JFreeChart
jsonFieldExtractor Knowledge Flow Extract fields from repeating JSON structures.
kerasZoo Python integration Provides a wrapper classifier for zoo models available in Keras
kerasZoo10MonkeysExample Python integration Provides a Knowledge Flow template example for training a DL model on the Kaggle 10 monkeys data
kernelLogisticRegression Classification A package that contains a class to train a two-class kernel logistic regression model.
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.
largeScaleKernelLearning Preprocessing A package that contains filters for large-scale kernel-based learning
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.
logarithmicErrorMetrics Metrics Root mean square logarithmic error and mean absolute logarithmic error
massiveOnlineAnalysis Data streams MOA (Massive On-line Analysis).
metaCost Classification This metaclassifier makes its base classifier cost-sensitive using Pedro Domingo's method.
metaphorSearchMethods Attribute selection An implementation of metaphor search methods to explore the space of attributes.
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, Preprocessing This package currently contains classes for training multilayer perceptrons with one hidden layer for classification and regression, and autoencoders.
multilayerPerceptronCS Classification An extension of the standard MultilayerPerceptron classifier in Weka that adds context-sensitive Multiple Task Learning (csMTL)
multisearch Classification MultiSearch Parameter Optimization
naiveBayesTree Classification Class for generating a decision tree with naive Bayes classifiers at the leaves.
netlibNativeLinux Linear Algebra netlib-java wrappers and native libraries for BLAS, LAPACK and ARPACK under Linux
netlibNativeOSX Linear Algebra netlib-java wrappers and native libraries for BLAS, LAPACK and ARPACK under OS X
netlibNativeOSXarm Linear Algebra netlib-java wrappers and native libraries for BLAS, LAPACK and ARPACK under OS X (macOS) for Apple Arm processors
netlibNativeWindows Linear Algebra netlib-java wrappers and native libraries for BLAS, LAPACK and ARPACK under Windows
newKnowledgeFlowStepExamples Examples Example Step implementations for the new Knowledge Flow, as described in the Weka manual
niftiLoader Converter Package for loading a directory with MRI data in NIfTI format into WEKA
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.
percentageErrorMetrics Metrics Root mean square percentage error and mean absolute percentage error
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
probabilityCalibrationTrees Probability calibration, Ensemble learning Probability calibration trees plus ensemble learning using cascade generalization
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).
snowball-stemmers Preprocessing Snowball stemmers
stackingC Ensemble learning Implements StackingC (more efficient version of stacking)
streamingUnivariateStats KnowledgeFlow A Knowledge Flow step to compute summary statistics incrementally
supervisedAttributeScaling Preprocessing A simple filter to rescale attributes to reflect their discriminative power.
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.
tigerjython Scripting TigerJython
timeSeriesFilters Filters, Time Series Time Series Filters
timeseriesForecasting Time series Time series forecasting environment.
ultraBoost Classification Class to adaptively boost heterogeneous classifiers
userClassifier Classification/regression Interactively classify through visual means.
vines Density Estimation Regular Vines
votingFeatureIntervals Classification Classification by voting feature intervals.
wavelet Preprocessing A filter for wavelet transformation.
wekaDeeplearning4j Classification/Regression Weka wrappers for Deeplearning4j
wekaPython Python integration Provides integration with CPython in Weka.
wekaRAPIDS Python integration Provides integration with RAPIDS in Weka.
wekaServer Server Simple server for executing Weka tasks.
winnow Classification Implements Winnow and Balanced Winnow algorithms by Littlestone