Data Mining, Random Forest Tools - Session 20

Session 20 of the Data mining series covers the Random Forest tool. Random Forest build a series of classification trees, each of which is able to classify the target variable. The Random Forest classification is based on the collection of classifications from the individual trees. Performance gains come from using this network of classifiers. This session discusses Random Forest in general, then uses the credit scoring data to give an example of the analysis and results. http://statsoft.com/products/data-mining-solutions/

Category:

Howto & Style

Tags:

• Data Mining
• Predictive Analytics
• Random Forest Tools