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Random Forest Model

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danny314 edited this page Jul 20, 2014 · 3 revisions

This is an ensemble decision tree model built using Random Forest technique on gas sensor array data. The model was built in R. Results are presented below.

Random Forest

Misclassification Rate - 0.64% (on test data)


Confusion Matrix

Random Forest Confusion Matrix (Breiman Coefficient)


Random Forest Error As a Function of Number of Trees Random Forest Error As a Function of Number of Trees

ROC Curve


ROC Curves

Area Under Curve

0.9999243

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