Constructed a decision tree using ID3 Algorithm to learn data from examples that holds some distinct binary features(chemical solutions for the provided sample train.data) and assigned a binary output lable(quality lowToMid or MidToHigh for this sample). Then predict possible outputs according to the d-tree. Accuracy: 89%
Yww0505/Decision-Tree
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