A decision tree classifier has been constructed based on a reference classified dataset. Here is the reference classified dataset: cost duration profitable 1 4 YES 2 2 YES 3 3 NO 4 6 NO 5 0 YES Here is the classifier: Root node is a split at cost 2.5 and there are two leaf nodes. Here is some useful information: log2(1/3) = -1.58, log2(2/3) = -0.58, log2(1/5) = -2.32, log2(2/5) = -1.32, log2(3/5) = -0.74, log2(4/5) = -0.32, log2(1) = 0, 0 x log2(0) = 0 in the limit entropy of reference is: 0.972, entropy of left child is 0, entropy of right child is 0.913, entropy of both is 0.548, information gain is 0.424 answer this: What does the classifier predict for cost>1, duration=3 at cutoff 0.5 for profitable