Suppose you are using stacking with n different machine learning algorithms with k folds on data. Which of the following is true about one level (m base models + 1 stacker) stacking? Note: Here, we are working on binary classification problem All base models are trained on all features You are using k folds for base models
A. you will have only k features after the first stage
B. you will have only m features after the first stage
C. you will have k+m features after the first stage
D. you will have k*n features after the first stage
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Type of dataset available in Supervised Learning is
A. unlabeled dataset
B. labeled dataset
C. csv file
D. excel file
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Another name for an output attribute.
A. predictive variable
B. independent variable
C. estimated variable
D. dependent variable
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PCA works better if there is
A. 1 and 2
B. 2 and 3
C. 1 and 3
D. 1,2 and 3
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What is/are true about kernel in SVM?
A. 1
B. 2
C. 1 and 2
D. None of these
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Which statement about outliers is true?
A. outliers should be part of the training dataset but should not be present in the test data
B. outliers should be identified and removed from a dataset
C. the nature of the problem determines how outliers are used
D. outliers should be part of the test dataset but should not be present in the training data
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Select the correct answers for following statements.
A. both are true
B. 1 is true and 2 is false
C. both are false
D. 1 is false and 2 is true
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With Bayes classifier, missing data items are
A. treated as equal compares.
B. treated as unequal compares.
C. replaced with a default value.
D. ignored.
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scikit-learn also provides functions for creating dummy datasets from scratch:
A. make_classification()
B. make_regression()
C. make_blobs()
D. all above
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Support vectors are the data points that lie closest to the decision surface.
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Hierarchical agglomerative clustering is typically visualized as?
A. dendrogram
B. binary trees
C. block diagram
D. graph
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Commons unsupervised applications include
A. object segmentation
B. similarity detection
C. automatic labeling
D. all above
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The multiple coefficient of determination is computed by
A. dividing ssr by sst
B. dividing sst by ssr
C. dividing sst by sse
D. none of the above
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The most popularly used dimensionality reduction algorithm is Principal Component Analysis (PCA). Which of the following is/are true about PCA?
A. 1 & 2
B. 2 & 3
C. 3 & 4
D. all of the above
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A term used to describe the case when the independent variables in a multiple regression model are correlated is
A. regression
B. correlation
C. multicollinearity
D. none of the above
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Bayes' theorem describes the probability of an event, based on prior knowledge of conditions that might be related to the event.
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In the example of predicting number of babies based on stork's population ,Number of babies is
A. outcome
B. feature
C. observation
D. attribute
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What are two steps of tree pruning work?
A. pessimistic pruning and optimistic pruning
B. postpruning and prepruning
C. cost complexity pruning and time complexity pruning
D. none of the options
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Can a model trained for item based similarity also choose from a given set of items?
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Which of the following is true about "Ridge" or "Lasso" regression methods in case of feature selection?
A. Ridge regression uses subset selection of features
B. Lasso regression uses subset selection of features
C. Both use subset selection of features
D. None of above
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