Drug discoverers need to predict the functions of proteins which are responsible for various
diseases in human body. The proposed method is to use priority based packages of SDFs
(Sequence Derived Features) so that decision tree may be created by their depth
exploration rather than exclusion. This research work develops a new decision tree
induction technique in which uncertainty measure is used for best attribute selection. The
model creates better decision tree in terms of depth than the existing C4. 5 technique. The …