Subject
Computer Science
Topic
Artificial Intelligence
What does probabilistic reasoning deal with in AI?
What does probabilistic reasoning deal with in AI?
a)
Incomplete and uncertain informationb)
Only deterministic outcomesc)
Exact matching of patternsd)
Sorting dataExplanation
Real situations are uncertain, so probabilities express how likely different conclusions are.Related questions
A classifier has TP=40, FP=10, FN=5, TN=45. What is its accuracy rounded to two decimals?A classifier has TP=30, FP=10, FN=20, TN=40. What is its precision rounded to two decimals?A classifier has TP=36, FP=4, FN=9, TN=51. What is its recall rounded to two decimals?A classifier has TP=24, FP=6, FN=6, TN=64. What is its f1 rounded to two decimals?In the figure, a binary node contains class counts 6 and 2. What is its entropy in bits, rounded to three decimals?In the figure, a split changes parent counts 6,4 into left 4,1 and right 2,3. What is information gain rounded to three decimals?A condition has prior 0.1, test sensitivity 0.8, and false-positive rate 0.2. What is P(condition given positive), rounded to three decimals?A feature computed after the prediction time is included during training. What problem does this create?
