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1. (15) * We have five features and we want to build a decision tree classifier. Here is the summary of the data to build a decision tree. Which feature will go at the root? Show your works. Features Count Disease Labels T T F F B T T F F T Possible Outcomes Yes No Yes No Yes No Yes No Yes No Yes No Yes No Yes No Yes No Yes No T 374 240 206 156 138 66 509 263 114 256 363 243 483 92 316 85 218 426 92 240 F F T D T F F T E T F F Your