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MACHINE LEARNINGWhich of the following is true about Naive Bayes? (i) Assumes that all the features in a dataset are equally important (ii) Assumes that all the features in a dataset are independent (ii) Both (i) and (ii) (iv) None of the above20222mData MiningExplain Naive Bayesian classification algorithm.20207mMACHINE LEARNINGWrite short notes on any two of the following: (a) Naive Bayes (b) Logistic Regression \(c\) Back Propagation algorithm202314mData MiningWhy is naive Bayesian classification called 'naive'? Briefly outline the major ideas of naive Bayesian classification.20227m
PreviousThe kernel trick in SVM is used to (i) Map data to higher-dimensional space for linear separation (ii) Compute probabilities (iii) Reduce feature dimensions (iv) Normalize input featuresNextType 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 true