Package weka.classifiers.bayes


package weka.classifiers.bayes
  • Classes
    Class
    Description
    AODE achieves highly accurate classification by averaging over all of a small space of alternative naive-Bayes-like models that have weaker (and hence less detrimental) independence assumptions than naive Bayes.
    AODEsr augments AODE with Subsumption Resolution.AODEsr detects specializations between two attribute values at classification time and deletes the generalization attribute value.
    For more information, see:
    Fei Zheng, Geoffrey I.
    Implements Bayesian Logistic Regression for both Gaussian and Laplace Priors.

    For more information, see

    Alexander Genkin, David D.
    Bayes Network learning using various search algorithms and quality measures.
    Base class for a Bayes Network classifier.
    Class for building and using a Complement class Naive Bayes classifier.

    For more information see,

    Jason D.
    Class for building and using a Discriminative Multinomial Naive Bayes classifier.
    Contructs Hidden Naive Bayes classification model with high classification accuracy and AUC.

    For more information refer to:

    H.
    Class for a Naive Bayes classifier using estimator classes.
    Class for building and using a multinomial Naive Bayes classifier.
    Class for building and using a multinomial Naive Bayes classifier.
    Class for building and using a simple Naive Bayes classifier.Numeric attributes are modelled by a normal distribution.

    For more information, see

    Richard Duda, Peter Hart (1973).
    Class for a Naive Bayes classifier using estimator classes.
    WAODE contructs the model called Weightily Averaged One-Dependence Estimators.

    For more information, see

    L.