



Hello everyone,     I have tried using random forest as classifier for two classes.  My data consists of 58 samples and each one of them belongs one of the two classes.  When I tried runnng the random forest for the 58 samples, it gave me the followng error: Error in randomForest.default(m,y,...):  Can not handle categorical predctors wth more than 32 categories. Although I have only 2 classes only.  When i tried running it on 32 or less samples, it worked but when  increased the samples, gave me this error.   I thought maybe there is a limitations to the input data but the iris example has 150 samples and it works just fine.   Any help? regards,salwa   		 	   		  
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