PREDICTED LABEL NEGATIVE POSITIVE 55 5 NEGATIVE TRUE NEGATIVE FALSE POSITIVE TRUE LABEL 10 30 POSITIVE FALSE NEGATIVE TR
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PREDICTED LABEL NEGATIVE POSITIVE 55 5 NEGATIVE TRUE NEGATIVE FALSE POSITIVE TRUE LABEL 10 30 POSITIVE FALSE NEGATIVE TR
b. 85%c. 10%d. 5%
b. 85%
c. 10%
d. 5%
2. The local Markov property is that a node in an Bayesian network is conditionally independent of its non-descendants, if its parents are known. Based on this definition, from the following Bayes network we can state that _________.
a. A is conditionally independent of B and D given Cb. C is conditionally independent of B and D given Ac. B is conditionally independent of A and D given C d. Both (a) and (c) can be the correct answer
a. A is conditionally independent of B and D given C
b. C is conditionally independent of B and D given A
c. B is conditionally independent of A and D given C
d. Both (a) and (c) can be the correct answer
PREDICTED LABEL NEGATIVE POSITIVE 55 5 NEGATIVE TRUE NEGATIVE FALSE POSITIVE TRUE LABEL 10 30 POSITIVE FALSE NEGATIVE TRUE POSITIVE
D C) A B