Take Test_ Quiz 2 – 2018 Semester 1 - QBUS3820 Machine .._ copy.pdf

Saved which of the following statements is false

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Saved Which of the following statements is FALSE about polynomial regression? Increasing the polynomial degree d can lead to overfitting. Polynomial regression should be used to generate predictions only inside the observed range of the predictors. Polynomials lead to a highly non-local fit. Polynomial regressions are preferable to regression splines because polynomial regressions are more flexible and stable. QUESTION 8 6 points Saved Saved Which of the following is NOT an example of nonlinear model? K-nearest neighbours Smoothing splines Local linear regression Ridge regression Local quadratic regression QUESTION 9 7 points Saved Saved The logistic regression model specifies a linear model for the log odds. True False QUESTION 10 3 points Saved Saved The difference between a linear discriminant analysis (LDA) and a quadratic discriminant analysis (QDA) lies in the following: QDA uses Bayes' theorem to calculate the conditional probability of Y given X=x, while LDA estimates it using the training data QUESTION 11 6 points Saved
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5/22/2018 Take Test: Quiz 2 – 2018 Semester 1 - QBUS3820 Machine ... estimates it using the training data. LDA assumes that the predictors are normally distributed conditional on the class and QDA makes no assumption on the distribution of the predictors. LDA assumes the classes have a common covariance matrix, instead of a class-specific covariance matrix that is assumed by QDA. LDA fits a linear regression for each class, while QDA fits a quadratic polynomial regression. The Naive Bayes classifier assumes the predictors are conditionally independent given the class label.
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