When mean imputation is performed on data after the data is partitioned for honest assessment, what is the most appropriate method for handling the mean imputation?
Which SAS program will divide the original data set into 60% training and 40% validation data sets, stratified by county?
Refer to the lift chart:At a depth of 0.1, Lift = 3.14. What does this mean?
Refer to the lift chart:What does the reference line at lift = 1 corresponds to?
Suppose training data are oversampled in the event group to make the number of events and non-events roughly equal. A logistic regression is run and the probabilities are output to a data set NEW and given the variable name PE. A decision rule considered is, "Classify data as an event if probability is greater than0.5." Also the data set NEW contains a variable TG that indicates whether there is an event (1=Event, 0= No event).The following SAS program was used.What does this program calculate?
SIMULATION -A linear model has the following characteristics:*A dependent variable (y)*One continuous variable (xl), including a quadratic term (x12)*One categorical (d with 3 levels) predictor variable and an interaction term (d by x1)How many parameters, including the intercept, are associated with this model?Enter your numeric answer in the space below. Do not add leading or trailing spaces to your answer.
