Machine Learning MCQ Questions: Practice and Test Your Knowledge

11

How to select best hyperparameters in tree based models?

A) measure performance over training data B) measure performance over validation data C) both of these D) random selection of hyper parameters

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Answer & Solution

Answer: Option B

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12

If TP=9 FP=6 FN=26 TN=70 then Error rate will be

A) 45 percentage B) 99 percentage C) 28 percentage D) 20 perentage

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Answer & Solution

Answer: Option C

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13

scikit-learn also provides a class for per-sample normalization, Normalizer. It can apply . . . . . . . . to each element of a dataset

A) max, l0 and l1 norms B) max, l1 and l2 norms C) max, l2 and l3 norms D) max, l3 and l4 norms

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Answer & Solution

Answer: Option B

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14

This supervised learning technique can process both numeric and categorical input attributes.

A) linear regression B) bayes classifier C) logistic regression D) backpropagation learning

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Answer & Solution

Answer: Option A

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15

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.

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Answer & Solution

Answer: Option A

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16

Common deep learning applications / problems can also be solved using . . . . . . . .

A) Real-time visual object identification B) Classic approaches C) Automatic labeling D) Bio-inspired adaptive systems

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Answer & Solution

Answer: Option B

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17

Of the Following Examples, Which would you address using an supervised learning Algorithm?

A) given email labeled as spam or not spam, learn a spam filter B) given a set of news articles found on the web, group them into set of articles about the same story. C) given a database of customer data, automatically discover market segments and group customers into different market segments. D) find the patterns in market basket analysis

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Answer & Solution

Answer: Option A

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18

Given a frequent itemset L, If |L| = k, then there are

A) 2k - 1 candidate association rules B) 2k candidate association rules C) 2k - 2 candidate association rules D) 2k -2 candidate association rules

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Answer & Solution

Answer: Option C

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19

100 people are at party. Given data gives information about how many wear pink or not, and if a man or not. Imagine a pink wearing guest leaves, was it a man?

A) TRUE B) FALSE

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Answer & Solution

Answer: Option A

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20

Suppose, you got a situation where you find that your linear regression model is under fitting the data. In such situation which of the following options would you consider?
1. I will add more variables
2. I will start introducing polynomial degree variables
3. I will remove some variables

A) 1 and 2 B) 2 and 3 C) 1 and 3 D) 1, 2 and 3

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Answer & Solution

Answer: Option A

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