C_PAII10_35 무료 덤프문제 온라인 액세스

The Contributions by Variables plot allows you to examine the relative significance of each of the variables within the model. On this plot, each bar represents the contribution of an explanatory variable with respect to the target variable. The following four types of plots allow you to visualize contributions by variables:
Note: There are 4 correct answers to this question.

• A.Variable Contributions, that is, relative importance of each variable in the built model.
• B.Variable Weights, that is, weights Guides and Scenarios Modeler P U B L I C 97
• C.Perform various analyses and build models on the data, including time series forecasting, outlier detection, trend analysis, classification analysis, segmentation analysis, and affinity analysis.
• D.Maximum Smart Variable Contributions, that is, the maximum smart variable contributions including only the maximum of similar variables. For example, only binned encoding of the continuous variable age will be displayed. This is the chart displayed by default.
• E.Smart Variable Contributions, that is, the variables internal contributions. Automated Analytics User Guides and Scenarios Modeler P U B L I C 97

On the model curve plot, different options allow you to visualize:
Note: There are 2 correct answers to this question.

• A.A web server (Apache Web Server for example). See the
  sections below to install Apache Web Server
• B.Exact profit values for a point for all the displayed curves.
• C.The curves for the different profit types: Detected, Lift,
  Normalized, and Customized. For more information on profit
  types, see the related topic.

There are three ways to set the threshold using the displayed slide bar:
Note: There are 3 correct answers to this question.

• A.By selecting the percentage of positive observations you want to detect
• B.By selecting the percentage of population to target if the population is sorted by descending order of score
• C.By selecting the score used to differentiate positive observations from negative ones considered positive, on the contrary any observation with a score below the threshold is considered negative.
• D.It is recommended to install the application as a Windows service on a production environment.

Two indicators specific to Automated Analytics allow you
to evaluate the performance of a model.
Note: There are 2 correct answers to this question.

• A.The prediction confidence, which is the robustness indicator.
• B.Through Java Web Start: in this mode, a Web server needs to be installed and configured on the machine hosting the SAP Predictive Analytics server. It will deliver, through web pages, the necessary content in order for the client computer to run the app
• C.The predictive power, which is the quality indicator of the model, Automated Analytics User Guides and Scenarios Modeling Concepts P U B L I C 27

Detected profit is the default setting for type of profit. Using this type of profit:
Note: There are 2 correct answers to this question.

• A.The value "0" is assigned to observations that do not belong to the target category of the target variable,
• B.The value "1/(frequency of the target variable in the dataset) is assigned to observations that do belong to the target category of the target variable.
• C.Data Manager is used to facilitate the preparation of the data to be used in the analytics project.
• D.Modeler enables the analyst to create in a homogenous and easy-handling workflow models such as classification, regression, clustering, time series, and association rules. Models can be exported in different formats so that you can easily apply them in your production environment.