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In the training data given below, each data item has 4 attributes Outlook, Temperature, Humidity and Windy. There are two classes or outcomes, Play Yes
In the training data given below, each data item has 4 attributes Outlook, Temperature, Humidity and Windy. There are two classes or outcomes, Play Yes (game is on) or Play No (game is off) Serial No Outlook Temperature Humidity Hot Hot Hot Mild Cool Cool Cool Mild Cool Mild Mild Mild Hot Mild Play No No Yes Sunny Overcast Rainy Rainy Rainy Overcast Sunny Sunny Rainy Sunny Overcast Overcast Rainy False True False False False True True False False False True True False True Hi Normal Normal Normal Hi Normal Normal Normal Yes No Yes No Yes Yes Yes Yes Yes No 6 9 10 12 13 14 Normal Learn the classification rules using iterative dichotomization algorithm that selects the attribute to split data at each stage of learning based on Gini-Index
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