Que.varImp is a wrapper around the evimp function in the _______ package.
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a. numpy |
b. earth |
c. plot |
d. none of the mentioned |
Que.Point out the wrong statement.
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a. The trapezoidal rule is used to compute the area under the ROC curve |
b. For regression, the relationship between each predictor and the outcome is evaluated |
c. An argument, para, is used to pick the model fitting technique |
d. All of the mentioned |
An argument, para, is used to pick the model fitting technique
Que.Which of the following curve analysis is conducted on each predictor for classification?
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a. NOC |
b. ROC |
c. COC |
d. All of the mentioned |
Que.Which of the following function tracks the changes in model statistics?
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a. varImp |
b. varImpTrack |
c. findTrack |
d. none of the mentioned |
Que.Point out the correct statement.
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a. The difference between the class centroids and the overall centroid is used to measure the variable influence |
b. The Bagged Trees output contains variable usage statistics |
c. Boosted Trees uses different approach as a single tree |
d. None of the mentioned |
The difference between the class centroids and the overall centroid is used to measure the variable influence
Que.Which of the following model model include a backwards elimination feature selection routine?
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a. MCV |
b. MARS |
c. MCRS |
d. All of the mentioned |
Que.The advantage of using a model-based approach is that is more closely tied to the model performance.
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a. True |
b. False |
c. May be True or False |
d. Can’t say |
Que.Which of the following model sums the importance over each boosting iteration?
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a. Boosted trees |
b. Bagged trees |
c. Partial least squares |
d. None of the mentioned |
Que.Which of the following argument is used to set importance values?
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a. scale |
b. set |
c. value |
d. all of the mentioned |
Que.For most classification models, each predictor will have a separate variable importance for each class.
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a. True |
b. False |
c. May be True or False |
d. Can’t say |