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Learning Optimal Classification Trees Using a Binary Linear Program Formulation

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Figure

Figure 1: A decision tree with one internal node. Inside ofthis node, a binary search tree is used to represent one ofthvalues to the left and right of every decision threshold
Table 1: Summary of notation used in the encoding.
Table 2: The number of decision variables and constraintsused in three methods: our method BinOCT, DTIP in (Ver-wer and Zhang 2017), and OCT in (Bertsimas and Dunn2017)
Table 5: Training accuracy of BinOCT, BinOCT* (BinOCT with CART as starting solutions), CART, R (CART in (Verwer andZhang 2017), DTIPs

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