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Can someone provide for me a brief explanation of Classify

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Can someone provide for me a brief explanation of Classify

Postby Guest » Wed Sep 21, 2005 12:48

If someone can kindly provide me with an explanation of the different Classify : Naive Bayes, Logistic Regression, K Nearest Neighbors, Classification Tree, Interactive Tree Builder, SVM, and CN2.

Kindly Provide me with a brief explanation of what they do and what are their inputs and outputs.

Thank You

Postby Blaz » Wed Oct 12, 2005 20:42

These are standard machine learning techniques. They take a data, where each example includes attribute and a special attribute called a class. Class is a discrete attribute. Classification techniques develop models that, based on attribute values, predict class. Widgets in Classify tabs are either those that build models (like Naive Bayes, kNN, SVM, ...) or those that can visually display such models (like Decision Tree Viewer, Nomogram, ...).


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