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WorksheetsModule 4 AIML
Total questions: 20
Worksheet time: 18mins
Bayesian Belief network is a
cyclic graph
Regular Graph
Planner Graph
Directed Acyclic Graph
Expand EM
Expect Maximum
Except Maximum
Expectation Maximization
All of the Above
True positive means correctly rejected
True
False
The updated probabilities of an Event in light of newly-collected data are known as _______ probabilities
Prior
Posterior
Conditional
Simple
The estimated probabilities of an Event before any new data is collected are known as _______ probabilities
prior
Posterior
Conditional
Simple
If P(A) = 0.20, P(B|A)=0.60 and P(B|A')=0.25, then P(A|B) =
0.3750
0.7059
0.6250
0.2941
A virus has infected 1.8% of a population. A test detects this virus 95% of the time when it is actually present, but it returns a false positive 3% of the time when the virus is not present.If a person selected at random from this population tests positive for the virus, what is the probability that this person is actually infected? [Round to the nearest percent.]
63%
34%
37%
66%
A test says you have the flu, but you really don't. This is an example of a...
True Positive
False Positive
True Negative
False Negative
A person is acquitted of a crime, but in reality they were guilty. This is an example of a...
True Positive
False Positive
True Negative
False Negative
What is an outcome?
A result of a trial
The chance or likelihood of an Event
A fraction, decimal, or a Percent
An activity with an uncertain result
A store sells shirts that are either small, medium, or large. Each size comes in either yellow, red, blue or green. If a person selects from these choices at random, what is the probability that they will select a large green shirt?
1/3
1/7
1/9
1/12
In hypothesis representation, what is the meaning of the symbol ' ? '
No value is acceptable
Any value is acceptable
Selected values are acceptable
None of the above
Positive examples of the data set are called as _________
hypothesis
Target concept
non members of the concept
members of the concept
The goal of concept learning is to find __________
hypothesis
training data set
testing data set
concept
______ is the process of dividing datasets into different categories or groups by adding labels.
Regression
Clustering
Classification
K-means
______ is the classification Technique based on Baye's Theorem.
Decision Tree
SVM
Naive Bayes
Association
______ is the partition approach of grouping similar datas.
KNN
ANN
K-Means
HAC
Weather forecast
Cluster
Regression
Class
Group different cats based on their looks
Cluster
Class
Regression
Text Recognition
Class
Regression
Cluster
