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Which of the following cross-validation versions may not be suitable to large datasets with hundreds of thousand samples? a) five-fold cross-validation. b) Hold out method.
Which of the following cross-validation versions may not be suitable to large datasets with hundreds of thousand samples? a) five-fold cross-validation. b) Hold out method. c) Leave-one-out. d) Ten-fold-cross-validation. Which of the following is correct about Bayesian Network? a) Represented set of random variables and their conditional dependencies via directed acyclic. b) It is unsupervised method. c) All the attributes are independent d) None. Stratified Sampling (Choose the correct one). What is a decision boundary in a pattern classification problem with two input variables? a) A histogram defined for each image in training set. b) A line or curve which separate two different classes. c) Plane or hyper-curve defined in the space of possible inputs. d) None
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