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MACHINE LEARNINGType I error in hypothesis testing is (i) Accepting null when false (ii) Rejecting null when true (iii) Rejecting alternative when false (iv) Accepting alternative when true20252mMACHINE LEARNINGA hypothesis which defines the population distribution is called .... (i) Null Hypothesis . (ii) Positive Hypothesis (iii) Negative Hypothesis (iv) Alternative Hypothesis20232mData MiningThe computational complexity of Apriori algorithm increases with the _______ in the bound of support threshold. (i) increase (ii) decrease (iii) Does not depend (iv) None of the above20222mMachine LearningWhich statement about hypothesis space is correct? (i) A larger hypothesis space always gives better generalization (ii) Hypothesis space is unrelated to inductive bias (iii) A smaller hypothesis space always gives lower training error (iv) A larger hypothesis space can increase the risk of overfitting20262m
PreviousLDA generally assumes that different classes have (i) Different covariance matrices (ii) No covariance (iii) The same covariance matrix (iv) Identical meansNextAdaBoost primarily focuses subsequent learners on (i) Randomly selected features only (ii) Previously misclassified or difficult observations (iii) Only correctly classified observations (iv) Unlabelled observations
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