APPLICATION OF SUPERVISED LEARNING
DEEP LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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What is class conditional independence?
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Classes in the data are independent of one another
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Classes in the data are dependent on one another
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Features in the data are independent of one another
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Features in the data are independent of one another given the class
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Explanation:
Detailed explanation-1: -A conditional probability can always be computed using the formula in the definition. Sometimes it can be computed by discarding part of the sample space. Two events A and B are independent if the probability P(A∩B) of their intersection A∩B is equal to the product P(A)⋅P(B) of their individual probabilities.
Detailed explanation-2: -The conditional independence property states: given the nodes that have a directed edge to a node A, the node A is conditionally independent of all the nodes that cannot be reached from A via a directed path.
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