Machine Learning MCQ Questions: Practice and Test Your Knowledge

1

The effectiveness of an SVM depends upon:

A) Selection of Kernel B) Kernel Parameters C) Soft Margin Parameter C D) All of the above

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Answer & Solution

Answer: Option D

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2

You are given sesimic data and you want to predict next earthquake , this is an example of

A) supervised learning B) reinforcement learning C) unsupervised learning D) dimensionality reduction

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Answer & Solution

Answer: Option A

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3

When the C parameter is set to infinite, which of the following holds true?

A) The optimal hyperplane if exists, will be the one that completely separates the data B) The soft-margin classifier will separate the data C) None of the above D) None of these

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Answer & Solution

Answer: Option A

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4

The firing rate of a neuron

A) determines how strongly the dendrites of the neuron stimulate axons of neighboring neurons B) is more analogous to the output of a unit in a neural net than the output voltage of the neuron C) only changes very slowly, taking a period of several seconds to make large adjustments D) can sometimes exceed 30,000 action potentials per second

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Answer & Solution

Answer: Option B

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5

To test linear relationship of y(dependent) and x(independent) continuous variables, which of the following plot best suited?

A) Scatter plot B) Barchart C) Histograms D) None of these

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Answer & Solution

Answer: Option A

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6

During the last few years, many . . . . . . . . algorithms have been applied to deep neural networks to learn the best policy for playing Atari video games and to teach an agent how to associate the right action with an input representing the state.

A) Logical B) Classical C) Classification D) None of above

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Answer & Solution

Answer: Option D

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7

Which of the following indicates the fundamental of least squares?

A) arithmetic mean should be maximized B) arithmetic mean should be zero C) arithmetic mean should be neutralized D) arithmetic mean should be minimized

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Answer & Solution

Answer: Option D

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8

What is 'Training set'?

A) Training set is used to test the accuracy of the hypotheses generated by the learner. B) A set of data is used to discover the potentially predictive relationship. C) Both A & B D) None of above

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Answer & Solution

Answer: Option B

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9

Which of the following statement is true about k-NN algorithm?
1. k-NN performs much better if all of the data have the same scale
2. k-NN works well with a small number of input variables (p), but struggles when the number of inputs is very large
3. k-NN makes no assumptions about the functional form of the problem being solved

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

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Answer & Solution

Answer: Option D

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10

In Naive Bayes equation $$P\left( {C|X} \right) = \frac{{P\left( {X|C} \right) * P\left( C \right)}}{{P\left( X \right)}}$$ which part considers "likelihood"?

A) $$P\left( {X|C} \right)$$ B) $$P\left( {C|X} \right)$$ C) $$P\left( C \right)$$ D) $$P\left( X \right)$$

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Answer & Solution

Answer: Option A

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