C_PAII10_35試験無料問題集「SAP Certified Application Associate - SAP Predictive Analytics 認定」

A. Simulate the model application.

B. Analyze variable deviations.

C. Display variable correlations.

D. Select the model iteration.

A. To test the latest version of the application without impacting the current production environment.

B. A consequence of 1 is that this metric is resistant to outliers: when there are a few occurrences of the target with very high values with respect to the rest of the target value distributions, the notion of normal profit is not impacted.

C. The weighted sum of the normal profit for all categories of a given variables will always be 0.

D. The normal profit of category is independent of the target values themselves will not change

A. Verify the Predictive Power Automated Analytics User Guides and Scenarios Modeler If the performance of the model meets your requirements, go to Step 3 - Analyzing and Understanding the Model Generated. Otherwise, go to the procedure To Generate a New Model.

B. A web server such as Apache Web Server or Windows Internet Information Services (IIS).

C. You can also check other indicators provided in addition to KI and KR during the model generation. For example, you could view the total elapsed time required to generate the model and information on the standard error rate.

A. by first extracting the categories from the variable statistics,
then editing or validating the suggested structure.

B. if the user running SAP Predictive Analy

C. by building a new structure from scratch.

D. by importing the structure from an existing model.

A. Each column represents a variable that describes observations, such as the "age" or the "gender" of individual Americans.

B. Both of these ports must be accessible from the client machine. For example, network firewalls should allow communication on these ports between client machine and the servers.

C. Each row represents an observation to be processed, such as "American individual" in the sample file Census01.csv .

D. Each cell, the intersection of a column and a row, represents the value of the variable in the column, for the observation in that row

A. One line of the first 4/5 of the initial dataset is distributed to the validation sub-set.

B. The name server and the server will be assigned a specific TCP port. By default, the startup scripts we use fix them, and they should probably set properly depending on the network strategy

C. If the entire 4/5 of the initial dataset is not yet distributed, distribution operations begin again at step 1. Otherwise, if the entire 4/5 of the initial dataset has been distributed, distribution operations go to step

D. The final 1/5 of the initial dataset is sent as a block of data to the testing sub-set.

E. Three lines of the first 4/5 of the initial dataset are distributed to the training subset.

A. a mathematical function.

B. a decision tree,

C. a Certification Authority certificate (CA certificate)

D. a neural network,