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Question 25 1 Point In ID3 algorithm, if at a current stage the remaining dataset contains one attribute X and the class labels are different.
Question 25 1 Point In ID3 algorithm, if at a current stage the remaining dataset contains one attribute X and the class labels are different. Axis selected as a test attribute but ignored since no specific decision about the class can be identified. X is selected as a test attribute with test attribute values on the next level edges with class label as leaf nodes. The label of the class is the most common label. X is selected as a test attribute with test attribute values on the next level edges with class label as leaf nodes. The label of the class is will be "Unknown" X is selected as a test attribute with test attribute values on the next level edges with class label as leaf nodes. The label of the class is the less common label
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