Consider a training set that contains 100 positive examples and400 negative
examples. For each of the following candidate rules,
R1: A −→ + (covers 4 positive and 1 negative examples),
R2: B −→ + (covers 30 positive and 10 negative examples),
R3: C −→ + (covers 100 positive and 90 negative examples),
determine which is the best and worst candidate rule accordingto:
(a) Rule accuracy.
(b) FOIL’s information gain.
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