Repeat the previous analysis assuming that the classifier predicts each test record to be positive class with probability 2/3 and negative class with probability 1/3.
Consider the task of building a classifier from random data, where the at-
tribute values are generated randomly irrespective of the class labels. Assume
the data set contains records from two classes, “+” and “?.” Half of the data
set is used for training while the remaining half is used for testing.
44.4%.
Computer Science & Information Technology
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