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Title: Which measure is most important for evaluating the performance of classifiers, models that predict ... Post by: asliceofwonder on Mar 8, 2018 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 Title: Which measure is most important for evaluating the performance of classifiers, models that predict ... Post by: xoxolove on Mar 8, 2018 ANS: B The area under the receiver operating characteristic (ROC) curve is the most important overall measure of classifier performance. ANS: C Knowledge discovery and data mining (KDDM) makes use of specialized analytic methods, characteristically machine learning, to identify patterns in a semi-automated fashion. ANS: A, B, C, D, F The knowledge transformation process in the STAR Model occurs at five points, which can be conceptualized as a five-point star. These five points include discovery research, evidence summary, translation to guidelines, practice integration, and evaluation of process and outcomes. Testing the hypothesis is not a specific point in the STAR Model. ANS: A, B, C, D Standardized terminology is requisite for naming, classifying, tagging, and locating evidence in order to use it in practice. ANS: A, B, C Evidence summaries include evidence synthesis, systematic reviews, integrative reviews, and reviews of the literature. Title: Which measure is most important for evaluating the performance of classifiers, models that predict ... Post by: asliceofwonder on Mar 8, 2018 Words can't even express my thanks
Title: Which measure is most important for evaluating the performance of classifiers, models that predict ... Post by: xoxolove on Mar 8, 2018 Pleasure is all mine
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