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Related A00-240 Questions & Answers
- What can you conclude?
- Drag the adjustment formulas for oversamping from the left and place them into the correct location in the confusion matrix shown on the right
- What is the best data to use for model assessment?
- Which of the two models should be selected and why?
- Based upon the comparative ROC plot for two competing models, which is the champion model and why?
- 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?
- What does this program calculate?
- For which of the following would this study be a candidate?
- What is the correct application of Greenacre’s method in this situation?
- Refer to the confusion matrix:
- Which statement and option combination will generate these statistics?
- What does the Pearson product moment correlation coefficient measure?
- What is a drawback to performing data cleansing (imputation, transformations, etc.) on raw data prior to partitioning the data for honest assessment as opposed to performing the data cleansing after partitioning the data?
- Refer to the confusion matrix: Calculate the sensitivity. (0 – negative outcome, 1 – positive outcome)
- A researcher has several variables that could be possible predictors for the final model. There is interest in checking all 2-way interactions for possible entry to the model. The researcher has decided to use forward selection within PROC LOGISTIC. Fill in the missing code option that will ensure that all 2-way interactions will be considered for entry.