What can you conclude?
A company has branch offices in eight regions. Customers within each region are classified as either "High Value" or "Medium Value" and are coded using the variable name VALUE. In the last year, the...
A company has branch offices in eight regions. Customers within each region are classified as either "High Value" or "Medium Value" and are coded using the variable name VALUE. In the last year, the...
DRAG DROP Drag the adjustment formulas for oversamping from the left and place them into the correct location in the confusion matrix shown on the right. View AnswerAnswer:
The total modeling data has been split into training, validation, and test data. What is the best data to use for model assessment?A . Training dataB . Total dataC . Test dataD . Validation...
Refer to the exhibit: The plots represent two models, A and B, being fit to the same two data sets, training and validation. Model A is 90.5% accurate at distinguishing blue from red on...
Refer to the exhibit: Based upon the comparative ROC plot for two competing models, which is the champion model and why?A . Candidate 1, because the area outside the curve is greaterB . Candidate...
What is a benefit to performing data cleansing (imputation, transformations, etc.) on data after partitioning the data for honest assessment as opposed to performing the data cleansing prior to partitioning the data?A . It...
Suppose training data are oversampled in the event group to make the number of events and nonevents roughly equal. A logistic regression is run and the probabilities are output to a data set NEW...
A researcher is planning a logistic regression to model the probability of disease occurrence. The researcher determines the rate of disease occurrence in the population is 1%. For which of the following would this...
An analyst knows that the categorical predictor, zip_code, is an important predictor of a binary target. However, zip_code has too many levels to be a feasible predictor in a model. The analyst uses PROC...
Refer to the confusion matrix: Calculate the accuracy and error rate (0 - negative outcome, 1 - positive outcome)A . Accuracy = 58/102, Error Rate = 23/48B . Accuracy = 83/102, Error Rate =...