Campbellsville University Imbalanced Classifiers
Campbellsville University Imbalanced Classifiers
Imbalanced Classifiers
1.Begin by writing the formula for each calculation, then show your steps to arrive at your answer.
a. Calculate Accuracy
b.Precision
c.Recall
d.F- Measure
2.Begin by writing the formula for each calculation, then show your steps to arrive at your answer.
a. Calculate Accuracy
b.Precision
c.Recall
d.F- Measure
Bayes Theorem
3. (a) Suppose the fraction of undergraduate students who smoke is 15% and
the fraction of graduate students who smoke is 23%. If one-fifth of the college students are graduate students and the rest are undergraduates, what is the probability that a student who smokes is a graduate student?
Answer
(b) Given the information in part (a), is a randomly chosen college student
more likely to be a graduate or undergraduate student?
Answer
(c) Repeat part (b) assuming that the student is a smoker.
Answer:
(d) Suppose 30% of the graduate students live in a dorm but only 10% of
the undergraduate students live in a dorm. If a student smokes and lives in the dorm, is he or she more likely to be a graduate or undergraduate student? You can assume independence between students who live in a dorm and those who smoke.
Answer:
Bayes Theorem
4.Consider the data set below.
a) Estimate the conditional probabilities for (P(A|+), P(B|+), P(C|+), P(A|-). P(B|-), P(C|-)
(b) Use the estimate of conditional probabilities given in the previous question to predict the class label for a test sample (A =0, B =1, C =0) using the naïve Bayes approach.
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