Subject
Computer Science
Topic
Artificial Intelligence
Which of the following is a major limitation of non-symbolic methods?
Which of the following is a major limitation of non-symbolic methods?
a)
Lack of interpretabilityb)
They cannot process numeric datac)
They cannot be trained on large datad)
They require human experts to write every ruleExplanation
It is hard to explain why a neural network made a particular decision, so they are often called black boxes.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?