Software for Classification

• Multiple approaches, typically including both a decision-tree and a neural network models, as well as some way to combine and compare them.

Random Forests(tm) - A Breakthrough Method - Free Evaluation

• 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