ANN_MLP 
Artificial Neural Networks  MultiLayer Perceptrons.

Boost 
Boosted tree classifier derived from DTrees
SEE: REF: ml_intro_boost

DTrees 
The class represents a single decision tree or a collection of decision trees.

EM 
The class implements the Expectation Maximization algorithm.

KNearest 
The class implements KNearest Neighbors model
SEE: REF: ml_intro_knn

LogisticRegression 
Implements Logistic Regression classifier.

Ml 

NormalBayesClassifier 
Bayes classifier for normally distributed data.

ParamGrid 
The structure represents the logarithmic grid range of statmodel parameters.

RTrees 
The class implements the random forest predictor.

StatModel 
Base class for statistical models in OpenCV ML.

SVM 
Support Vector Machines.

SVMSGD 
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Stochastic Gradient Descent SVM Classifier *
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TrainData 
Class encapsulating training data.
