Question is from Artificial intelligence course

1. [30 pts] ID3 decision tree Suppose you want ID3 to decide whether the weather is amenable to playing baseball. The target classification is "should we play baseball?" which can be ves or no. The weather attributes are outlook and wind speed. They can have the following values: outlook = { sunny, overcast, rain } wind - [weak, strong Examples of set S are (assume that all the examples in table below occur with equal probability) Day Di D2 DE D4 Di D6 Play ball Wind Weak Strong Weak Weak Srong Suone Outlook 0.0000 1.0000 1.5850 1.0000 1.3219 1.5850 e5 Sumny Sunmy Overcast Rain Overcast Rain No 25 23 You need to find which attribute (outiook or wind) veill be the root node in your decision tree. Use the log values in the table. Make sure to show your step by step work Recall the loga rithm rule: io?(x/y)-togs(x)-10H (v)