Dear Mamun,
*A.* 80% features are binary [ 0 or 1 ]
> *B.* 10% are integer values representing counts / occurrences.
> *C.* 10% are continuous values between different ranges.
>
> My prior understanding was that decision tree based algorithms work better
> on mixed data types. In this particular c
Hi All,
I am testing two classifiers [ 1. Random forest 2. SVC with radial basis
kernel ] on a data set via 5 fold cross validation.
The feature matrix contains :
A. 80% features are binary [ 0 or 1 ]
B. 10% are integer values representing counts / occurrences.
C. 10% are continuous values bet
