Machine Learning: The Future of Data Analysis MCQ part-3

Que.varImp is a wrapper around the evimp function in the _______ package.
a. numpy
b. earth
c. plot
d. none of the mentioned
Que.Point out the wrong statement.
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
Que.Which of the following curve analysis is conducted on each predictor for classification?
a. NOC
b. ROC
c. COC
d. All of the mentioned
Que.Which of the following function tracks the changes in model statistics?
a. varImp
b. varImpTrack
c. findTrack
d. none of the mentioned
Que.Point out the correct statement.
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
Que.Which of the following model model include a backwards elimination feature selection routine?
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.
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?
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?
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.
a. True
b. False
c. May be True or False
d. Can’t say

Get code60