Top 350+ Solved Machine Learning (ML) MCQ Questions Answer
Q. If X and Y in a regression model are totally unrelated,
a. the correlation coefficient would be -1
b. the coefficient of determination would be 0
c. the coefficient of determination would be 1
d. the sse would be 0
Q. Problem in multi regression is ?
a. multicollinearity
b. overfitting
c. both multicollinearity & overfitting
d. underfitting
Q. How can we best represent ‘support’ for the following association rule: “If X and Y, then Z”.
a. {x,y}/(total number of transactions)
b. {z}/(total number of transactions)
c. {z}/{x,y}
d. {x,y,z}/(total number of transactions)
Q. Choose the correct statement with respect to ‘confidence’ metric in association rules
a. it is the conditional probability that a randomly selected transaction will include all the items in the consequent given that the transaction includes all the items in the antecedent.
b. a high value of confidence suggests a weak association rule
c. it is the probability that a randomly selected transaction will include all the items in the consequent as well as all the items in the antecedent.
d. confidence is not measured in terms of (estimated) conditional probability.
Q. What are tree based classifiers?
a. classifiers which form a tree with each attribute at one level
b. classifiers which perform series of condition checking with one attributeat a time
c. both options except none
d. none of the options
Q. What is gini index?
a. it is a type of index structure
b. it is a measure of purity
c. both options except none
d. none of the options
Q. Which of the following sentences are correct in reference toInformation gain?a. It is biased towards single-valued attributesb. It is biased towards multi-valued attributesc. ID3 makes use of information gaind. The approact used by ID3 is greedy
a. a and b
b. a and d
c. b, c and d
d. all of the above
Q. The number of iterations in apriori ___________ Select one: a. b. c. d.
a. increases with the size of the data
b. decreases with the increase in size of the data
c. increases with the size of the maximum frequent set
d. decreases with increase in size of the maximum frequent set
Q. Frequent item sets is
a. superset of only closed frequent item sets
b. superset of only maximal frequent item sets
c. subset of maximal frequent item sets
d. superset of both closed frequent item sets and maximal frequent item sets
Q. A good clustering method will produce high quality clusters with
a. high inter class similarity
b. low intra class similarity
c. high intra class similarity
d. no inter class similarity
Q. Which statement is true about neural network and linear regression models?
a. both techniques build models whose output is determined by a linear sum of weighted input attribute values
b. the output of both models is a categorical attribute value
c. both models require numeric attributes to range between 0 and 1
d. both models require input attributes to be numeric
Q. Which Association Rule would you prefer
a. high support and medium confidence
b. high support and low confidence
c. low support and high confidence
d. low support and low confidence
Q. In a Rule based classifier, If there is a rule for each combination of attribute values, what do you called that rule set R
a. exhaustive
b. inclusive
c. comprehensive
d. mutually exclusive
Q. The apriori property means
a. if a set cannot pass a test, its supersets will also fail the same test
b. to decrease the efficiency, do level-wise generation of frequent item sets
c. to improve the efficiency, do level-wise generation of frequent item sets d.
d. if a set can pass a test, its supersets will fail the same test
Q. If an item set ‘XYZ’ is a frequent item set, then all subsets of that frequent item set are
a. undefined
b. not frequent
c. frequent
d. can not say