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Consider a classification problem with a binary response, where the positive event occurs very rarely. In this case, it is likely that the Type Il error rate is much higher than the Type I error rate. Which of the followings will reduce the Type Il error rate? (a) Decrease the threshold probability. O (b) Oversample the positive event. (c) Undersample the negative event. O (a) and (b) O (a) and (c) (b) and (c) O (a), (b), and (c) O None of the above Question 10 1.5 pts Which of the following is likely to affect the residual standard error (RSE) of a regression model most? outlier O a high leverage point an insignificant predictor O a 100% increase in the sample size Question 11 1.5 pts Which of the following is likely to affect the coefficient estimates of a regression model most? O an outlier O a high leverage point O a point with a large Cook's distance O an insignificant predictor a 100% increase in the sample size Consider a classification problem with a binary response, where the positive event occurs very rarely. In this case, it is likely that the Type Il error rate is much higher than the Type I error rate. Which of the followings will reduce the Type Il error rate? (a) Decrease the threshold probability. O (b) Oversample the positive event. (c) Undersample the negative event. O (a) and (b) O (a) and (c) (b) and (c) O (a), (b), and (c) O None of the above Question 10 1.5 pts Which of the following is likely to affect the residual standard error (RSE) of a regression model most? outlier O a high leverage point an insignificant predictor O a 100% increase in the sample size Question 11 1.5 pts Which of the following is likely to affect the coefficient estimates of a regression model most? O an outlier O a high leverage point O a point with a large Cook's distance O an insignificant predictor a 100% increase in the sample size