Bida 630 Data Analytics Final Study Guide Graded A+

Which of the following are the assumptions of Discriminant analysis? (2 correct answers) [ Assumed multivariate normality of predictors ; Assumes correlation among predictors within a class is the same across all classes ; Assumes that, within a class, features are independent ; Assumes the data set has >20 records ] {Ans: Assumed multivariate normality of predictors ; Assumes correlation among predictors within a class is the same across all classes}True or false: The Naive Bayes Classifier makes no assumptions about the distribution of data {Ans: True}How would the correlations change if we normalized the data first? {Ans: Correlations will not change, since data are normalized by computing correlations}True or false: Neural networks is a flexible data-driven method that can be used for classification but not for prediction {Ans: False}When a bank that is in poor financial condition is misclassified as financially strong, the misclassification cost is much higher than when a financially strong bank is misclassified as weak. To minimize the expected cost of misclassification, the cutoff value for classification (which is currently at 0.5) should be increased (TRUE/FALSE?) {Ans: False (with lower cutoffs we classify more records as weak - to minimize the