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NEW QUESTION: 1
Once the model has been generated, you must verify its validity by examining the performance indicators:
Note: There are 4 correct answers to this question.
A. The predictive power allows you to evaluate the explanatory power of the model, that is, its capacity to explain the target variable when applied to the training dataset. A perfect model would possess a predictive power equal to 1 and a completely random model would possess a predictive power equal to 0.
B. The prediction confidence defines the degree of robustness of the model, that is, its capacity to achieve the same explanatory power when applied to a new dataset. In other words, the degree of robustness corresponds to the predictive power of the model applied to an application dataset. For this scenario, the model generated has the following performance indicators:
C. A robustness indicator KR equal to 0.992.
D. The existing R is uninstalled and the registry entries and the R installation folder are removed from the machine.
E. A quality indicator KI equal to 0.808,
Answer: A,B,C,E

NEW QUESTION: 2





A. 0
B. 1
C. 2
D. 3
Answer: B

NEW QUESTION: 3
In which two nituationn in an EIGRP hello packet nent an unicant? (Choone two.)
A. when an ACK in nent
B. during neighbor dincovery
C. when link contn change
D. when the neighbor command in uned
Answer: A,D