Consider the hypothesis space defined over instances shown below, we characterize each hypothesis (apple taste) by 4-tuples. Please hand trace the ID3 classifier to build a decision tree, then predict the target value Taste=Sweet/Tart for the following instances: a) b) c) d) e) Now suppose the actual taste of the five apples above are actually “Sweet, Sweet, Sweet, Tart, Tart”, what is the accuracy of the decision tree? Please show all the steps and include the corresponding confusion matrix for accuracy calculation. (please................ as soon as give correct solution)
Consider the hypothesis space defined over instances shown below, we characterize each
hypothesis (apple taste) by 4-tuples. Please hand trace the ID3 classifier to build a decision
tree, then predict the target value Taste=Sweet/Tart for the following instances:
a) <Red, High, Some, No>
b) <Red, Low, Some, Yes>
c) <Yellow, Low, Some, No>
d) <Green, High, None, No>
e) <Green, Mid, Some, Yes>
Now suppose the actual taste of the five apples above are actually “Sweet, Sweet,
Sweet, Tart, Tart”, what is the accuracy of the decision tree? Please show all the steps
and include the corresponding confusion matrix for accuracy calculation.
(please................ as soon as give correct solution)
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