I have the following ARFF Training file
@relation cowrie
@attribute SourceIP {64.31.57.18,121.34.178.154}
@attribute SourcePort numeric
@attribute Username {nano,root}
@attribute Password {'G0na,.',root}
@attribute Status {failed,succeeded}
@attribute Malicious {No,Yes}
@data
64.31.57.18,42001,nano,'G0na,.',failed,No
64.31.57.18,42131,root,'G0na,.',failed,No
121.34.178.154,43064,root,root,succeeded,Yes
I want the source ip, username and password to remain as train attributes somehow without confusing WEKA so that I am able to test an entry against this train file.
I read that WEKA only sees things as yes/no 1/0 for machine learning but I also read that some attributes can be made to be considered as nominal.
Is there a way to keep the mentioned attributes in the train file and make WEKA work with them?
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