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2, A < 2, A > 5, A < 5, and> 3. Consider the following training data with class labels 0 and 1, and three

3. Consider the following training data with class labels 0 and 1, and three attributes A, B, and C. A B  (a) Try thresholds 2, 5, and 8 for attribute A (that is, use the division 2, A < 2, A > 5, A < 5", and">

3. Consider the following training data with class labels 0 and 1, and three attributes A, B, and C. A B class 0.62 yes yes 0 3.84 no no 6.61 yes 6.87 yes 7.71 no yes 8.98 no yes 1.77 yes no 2.02 yes 2.06 yes 2.66 no yes 3.72 no yes 4.98 yes yes 13 5.73 yes yes 14 6.29 yes yes 15 9.08 no 16 9.45 no id 1 2 3 4 5 6 7 8 9 10 11 12 no no no no no no 0 0 0 1 1 1 1 1 1 1 1

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