Que.Which of the following is correct use of cross validation?
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a. Selecting variables to include in a model |
b. Comparing predictors |
c. Selecting parameters in prediction function |
d. All of the mentioned |
Que.Point out the wrong combination.
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a. True negative=correctly rejected |
b. False negative=correctly rejected |
c. False positive=correctly identified |
d. All of the mentioned |
False positive=correctly identified
Que.Which of the following is a common error measure?
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a. Sensitivity |
b. Median absolute deviation |
c. Specificity |
d. All of the mentioned |
Que.Which of the following is not a machine learning algorithm?
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a. SVG |
b. SVM |
c. Random forest |
d. None of the mentioned |
Que.Point out the wrong statement.
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a. ROC curve stands for receiver operating characteristic |
b. Foretime series, data must be in chunks |
c. Random sampling must be done with replacement |
d. None of the mentioned |
Que.Which of the following is a categorical outcome?
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a. RMSE |
b. RSquared |
c. Accuracy |
d. All of the mentioned |
Que.For k cross-validation, larger k value implies more bias.
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a. True |
b. False |
c. May be True or False |
d. Can’t say |
Que.Which of the following method is used for trainControl resampling?
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a. repeatedcv |
b. svm |
c. bag32 |
d. none of the mentioned |
Que.Which of the following can be used to create the most common graph types?
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a. qplot |
b. quickplot |
c. plot |
d. all of the mentioned |
Que.For k cross-validation, smaller k value implies less variance.
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a. True |
b. False |
c. May be True or False |
d. Can’t say |
Que.Predicting with trees evaluate _____________ within each group of data.
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a. equality |
b. homogeneity |
c. heterogeneity |
d. all of the mentioned |
Que.Point out the wrong statement.
|
a. Training and testing data must be processed in different way |
b. Test transformation would mostly be imperfect |
c. The first goal is statistical and second is data compression in PCA |
d. All of the mentioned |
Training and testing data must be processed in different way
Que.Which of the following method options is provided by train function for bagging?
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a. bagEarth |
b. treebag |
c. bagFDA |
d. all of the mentioned |
Que.Which of the following is correct with respect to random forest?
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a. Random forest are difficult to interpret but often very accurate |
b. Random forest are easy to interpret but often very accurate |
c. Random forest are difficult to interpret but very less accurate |
d. None of the mentioned |
Random forest are difficult to interpret but often very accurate
Que.Point out the correct statement.
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a. Prediction with regression is easy to implement |
b. Prediction with regression is easy to interpret |
c. Prediction with regression performs well when linear model is correct |
d. All of the mentioned |