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Artificial Intelligence pts] Suppose you want ID3 to decide whether the weather is amenable to plaving (1 seball. The target classification is should we play

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Artificial Intelligence pts] Suppose you want ID3 to decide whether the weather is amenable to plaving (1 seball. The target classification is "should we play baseball?" which can be yes or no. e weather attributes are outlook, temperature, humidity, and wind speed. They can have outlook-sunny, overcast, rain Fall 2017 the following values: wind - (weak, strong) Examples of set S are (assume that all the probability) examples in table below occur with equal Day Outlook Wind Play ball Di D2 D3 Sunny Weak Yes Sunny Strong No OvercastWeak Yes Rain Overcast Rain 2 10000 3 1.5850 Weak Yes g No Strong No DS You need to find which attribute (outlook or wind) will be the root node in your decision tree. Use the log values in the table. Recall the logarithm rule: log)o()-lo8,( ere, D3

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