Which measure is most important for evaluating the performance of classifiers, models that predict ...

Which measure is most important for evaluating the performance of classifiers, models that predict class membership?
 
  a. Root mean squared error (RMSE)
  b. Area under the receiver operating characteristic (ROC) curve
  c. Percentage of correctly classified cases
  d. Hosmer-Lemeshow statistic

Question 2

Which specialized method(s) is (are) used in knowledge discovery and data mining?
 
  a. Stratified sampling
  b. Conceptual analytic methods
  c. Selection of the optimal subset of variables/features for use in modeling
  d. Machine learning

Question 3

Using the STAR Model, which of the following points indicate knowledge transformation has occurred? (Select all that apply.)
 
  a. Discovery research
  b. Evidence summary
  c. Translation to guidelines
  d. Practice integration
  e. Testing the hypothesis
  f. Evaluation of process and outcomes

Question 4

Standardized terminology is requisite for: (Select all that apply.)
 
  a. naming evidence.
  b. classifying evidence.
  c. tagging evidence.
  d. locating evidence.
  e. simplifying evidence.

Question 5

zWhich of the following are evidence summaries: (select all that apply.)
 
  a. Literature reviews
  b. Systematic reviews
  c. Integrative reviews
  d. Single study reviews