Learning distance measure for categorical dataĮfficient Bayesian Multivariate Classifier Text Filters for Analyzing Sentiment and Emotions of TweetsĪveraged N-Dependence Estimators (includes A1DE and A2DE)Ĭlassification, Regression, Attribute SelectionĪutomatically find the best model and parameters for a dataset.ĬAIRAD: A Co-appearance based Analysis for Incorrect Records and Attribute-values DetectionĬontructs Correlation-based Feature Weighted Naive Bayes (CFWNB)ĬHIRP: A new classifier based on Composite Hypercubes on Iterated Random ProjectionsĬLOPE: a fast and effective clustering algorithm for transactional dataĪn Variation degree Algorithm to explore the space of attributes.Ĭlass for building and using a Discriminative Multinomial Naive Bayes classifierĬlass for building and using a decision table/naive Bayes hybrid classifier. Java weka.Run Bayes Available Packages (210) AffectiveTweets Running packaged algorithms from the command line java weka.Run IMPORTANT: make sure there are no old versions of Weka (<3.7.2) in your CLASSPATH before starting Weka Installation of PackagesĪ GUI package manager is available from the 'Tools' menu of the GUIChooser Waikato Environment for Knowledge Analysis (WEKA) WEKA Packages

Weka jar with spegasos