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Machine learning algorithms

1. Point out the correct statement.

findLinearColumns will also return a vector of column positions can be removed to eliminate the linear dependencies
findLinearCombos will return a list that enumerates dependencies
the function findLinearRows can be used to generate a complete set of row variables from one factor
none of the mentioned
Answer is Right!
Answer is Wrong!

Detailed SolutionPoint out the correct statement.

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2. Which of the following can be used to create the most common graph types?

qplot
quickplot
plot
all of the mentioned
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Answer is Wrong!

Detailed SolutionWhich of the following can be used to create the most common graph types?

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3. In machine learning, what is the term for the process of reducing the dimensionality of data while preserving as much information as possible?

Data Reduction
Data Encoding
Feature Selection
Data Normalization
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Answer is Wrong!

Detailed SolutionIn machine learning, what is the term for the process of reducing the dimensionality of data while preserving as much information as possible?

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4. Which of the following is correct about regularized regression?

Can help with bias trade-off
Cannot help with model selection
Cannot help with variance trade-off
All of the mentioned
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Answer is Wrong!

Detailed SolutionWhich of the following is correct about regularized regression?

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5. True positive means correctly rejected.

TRUE
nan
nan
nan
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Answer is Wrong!

Detailed SolutionTrue positive means correctly rejected.

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6. For k cross-validation, larger k value implies more bias.

TRUE
nan
nan
nan
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Answer is Wrong!

Detailed SolutionFor k cross-validation, larger k value implies more bias.

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7. varImp is a wrapper around the evimp function in the . . . . . . . . package.

numpy
earth
plot
none of the mentioned
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Answer is Wrong!

Detailed SolutionvarImp is a wrapper around the evimp function in the . . . . . . . . package.

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8. What is the primary purpose of a k-means clustering algorithm in machine learning?

To minimize prediction errors
To group similar data points
To perform unsupervised learning
To visualize data relationships
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Detailed SolutionWhat is the primary purpose of a k-means clustering algorithm in machine learning?

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9. Which of the following is correct with respect to random forest?

Random forest are difficult to interpret but often very accurate
Random forest are easy to interpret but often very accurate
Random forest are difficult to interpret but very less accurate
None of the mentioned
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Answer is Wrong!

Detailed SolutionWhich of the following is correct with respect to random forest?

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10. The function preProcess estimates the required parameters for each operation.

TRUE
nan
nan
nan
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Answer is Wrong!

Detailed SolutionThe function preProcess estimates the required parameters for each operation.

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