A modified version of the traditional random forest feature selection method.
- Uses samples of dataset thus minimizing memory allocation requirements
- More accurate in predicting the important features than traditional method
A modification in the traditional random forest feature selection method which uses less memory usually for instances where dataset is not loadable in the memory.
A modified version of the traditional random forest feature selection method.
A modification in the traditional random forest feature selection method which uses less memory usually for instances where dataset is not loadable in the memory.