The software contains many machine learning algorithms such as the decision tree, random forest, linear discriminant analysis, support vector machines, multi-layer perceptron (neural networks), quadratic discriminant analysis, logistic regression, naive Bayes, and other boosting algorithms, k-means, and other clustering algorithms.
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