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Classification Software for Data Mining and Analytics

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Multiple approaches, typically including both a decision-tree and a neural network models, as well as some way to combine and compare them.
Classification with Decision tree methods
Classification with Rule-based methods
Classification with Neural networks
Bayesian and Dependency Networks
SVM (Support Vector Machines)
Rough sets, Genetic algorithms, Fuzzy Logic and other approaches.
Analysis of classification results, ROC curves, and more

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