Machine Learning - Study Mode

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[#366] Function used for linear regression in R is

(A) lm(formula, data)

(B) lr(formula, data)

(C) lrm(formula, data)

(D) regression.linear(formula, data)

(E) lm(formula, data)

(F) lr(formula, data)

(G) lrm(formula, data)

(H) regression.linear(formula, data)

Correct Answer

(A) lm(formula, data)
(E) lm(formula, data)

[#367] The effectiveness of an SVM depends upon:

(A) Selection of Kernel

(B) Kernel Parameters

(C) Soft Margin Parameter C

(D) All of the above

(E) Selection of Kernel

(F) Kernel Parameters

(G) Soft Margin Parameter C

(H) All of the above

Correct Answer

(D) All of the above
(H) All of the above

[#368] 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

(E) supervised learning

(F) reinforcement learning

(G) unsupervised learning

(H) dimensionality reduction

Correct Answer

(A) supervised learning
(E) supervised learning

[#369] 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

(E) The optimal hyperplane if exists, will be the one that completely separates the data

(F) The soft-margin classifier will separate the data

(G) None of the above

(H) None of these

Correct Answer

(A) The optimal hyperplane if exists, will be the one that completely separates the data
(E) The optimal hyperplane if exists, will be the one that completely separates the data

[#370] 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

(E) determines how strongly the dendrites of the neuron stimulate axons of neighboring neurons

(F) is more analogous to the output of a unit in a neural net than the output voltage of the neuron

(G) only changes very slowly, taking a period of several seconds to make large adjustments

(H) can sometimes exceed 30,000 action potentials per second

Correct Answer

(B) is more analogous to the output of a unit in a neural net than the output voltage of the neuron
(F) is more analogous to the output of a unit in a neural net than the output voltage of the neuron