SPSS Modeler & Data Analytics

5. The type of node that belongs to the model evaluation phase is. A.Source. B.Modeling. C.Output. D. Export.

6. "Overfitting" means. A. The model was not fitted enough. c. The data noise was fitted. B. Suitable independent variables need to be added. D. The model parameters need to be corrected.

7. the modeler interface can be divided into several areas. A. 2 B. 3 C. 4 D. 5

8. In business applications, data from different sources can be linked by what to break the data barriers and realize data flow. A. Precise positioning. B. Unique identification of user identity. C. Data standardization. D. Digitize and measure the information in life.

9. The process of discovering valuable and potentially useful information and knowledge from the massive, incomplete, noisy, fuzzy and random data is also a decision support process. A. Data collection B. Data learning C. Data mining D. Data statistics.

10. A store sells raw milk, and through data analysis, we know that customers who buy raw milk in this store often go to another store to buy buns later, and the number is quite large, so the store can consider cooperating with the bun store or selling buns directly in the store. A. Regression analysis. C. Classification analysis. B. Cluster analysis. D. Association rules.

11. In multiple regression, the stepwise regression method of variable selection is set at the level of significance of the forward generally requires () the level of significance of the backward. A higher than B. lower than C. equal to D. indifferent

12. () helps to achieve the long-tail effect (mining the long tail). A. recommendation systems. B. Search engine. c. Matthew's theory. D. High-end personalization

13. spss modeler in the data role for the target variable is. Dependent variable. Independent variable. Observed variable. Predictor variable.

14. X1=1,X2=0, the result of the "with" operation is. A.0 B.1 C.0.5 D. -0.5

15. To verify whether a certain Chinese medicine is effective in treating neocoronavirus pneumonia, you can use. A. Independent sample mean comparison. B. Paired-sample comparison of means. C. One-sample t-test D. Correlation analysis.