I'm planning to develop program in Java which will provide diagnosis.
The data set is divided into two parts one for training and the other
for testing. My program should learn a classier from the training
data (BTW which contain answer for 30 questions each in new column,
each record in new line the last column will be diagnosis 0 or 1, in
the testing part of data diagnosis column will be empty - data set
contain about 1000 records) and then make predictions in testing part
of data :/
I've never done nothing similar so I'll appreciate any advice or
information about solution to similar problem.
I was thinking about Java Machine Learning Library or Java Data Mining
Package but I'm not sure if it's right direction... ? and I'm still
not sure how to tackle this challenge...
Please advice.
All the best!
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