Question: A decision tree was constructed and was then tested on a data set with known outcomes. This resulted in 20 true positives, 10 false positives,

A decision tree was constructed and was then tested on a data set with known outcomes. This resulted in 20 true positives, 10 false positives, 15 false negatives, and 5 true negatives. What is the precision for these classifications?

		0.50
		0.57
		0.33
		0.67

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