Predictive Power, Prediction Confidence and Model Graphs On the model graph plot: Note: There are 2 correct answers to this question.
A. Produce deep analysis of the data using different visualization techniques, such as scatter matrix charts, parallel coordinates, cluster charts, and decision trees.
B. Of the validation dataset of the perfect model and that of the random model". As the curve of the generated model approaches the curve of the perfect model, the value of the predictive power approaches 1.
C. Of the training and validation datasets the training dataset and that of the validation dataset "divided by "the area found between the curve of the perfect model and that of the random model"
The term model carries many different meanings depending on its field of application. In data mining, a model describes and explains the relationships that exist between input data (one or more target variablest allows one to predict and explain phenomena, or to describe them. To quote George E.P. Box, "All Models Are Wrong But Some Are Useful" from "Robustness is the Strategy of Scientific Model Building" in Robustness in Statistics. Eds., R.L. Launer and G.N. Wilkinson, 1979, Academic Press. A model that has satisfactory performance is one that possesses both:
Note: There are 2 correct answers to this question.
A. High explanatory power, that is, sufficient capacity to explain the target variable. This explanatory power is indicated by the predictive power of the model.
B. High robustness, that is, sufficient capacity to repeat the same performance on new datasets containing observations of a similar nature to the training dataset. This explanatory power is indicated by the prediction confidence .
C. 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.
You developed an unsupervised segmentation model in Automated Analytics. What should you analyze when debriefing the model?
Note: There are 1 correct answers to this question.
A. The cluster target means
B. The overall model Ki
C. The cluster frequencies
D. The winning number of clustersc
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 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
B. The prediction confidence, which is the robustness indicator.
C. 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
The Decision Tree Each node in the tree displays: Note: There are 4 correct answers to this question.
A. The name of the expanded variable, for example Marital-status.
B. The categories on which the node population has been filtered, for example {Married-AFspouse;Nevermarried}
C. The Population of the node
D. The ratio of Positive Target (for nominal targets) or the Target Mean (for continuous targets)
E. The Usage entries are sparser and report a more global view of the activity on the server. They consist of one line per event on the following events: user connection, user disconnection, training a model, applying a model, saving a model.
You built a classification model using SAP HANA data with Automated Analytics. How will you make the model available to Model Manager?
Note: There are 1 correct answers to this question.
A. Generate Source Code
B. Apply Model
C. Save Model
D. Load a Model
A table of data is a dataset presented in the form of a two-dimensional table. In this table: Note: There are 3 correct answers to this question.
A. Each row represents an observation to be processed, such as "American individual" in the sample file Census01.csv .
B. Each column represents a variable that describes observations, such as the "age" or the "gender" of individual Americans.
C. 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
D. 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.
On every screen of the application, one or more of the following options may be available in a toolbar located under the screen title.
Note: There are 4 correct answers to this question.
A. Printing the screen,
B. Saving the screen content,
C. Copying the screen content,
D. Displaying the contextual Help.
E. The server port
Why Describe the Data Selected? In order for Automated Analytics features to interpret and analyze your
data, the data must be described.
To put it another way, the description file must specify the nature of each variable, determining their:
Note: There are 2 correct answers to this question.
A. Storage format: number
B. Type: continuous, nominal, ordinal or textual
C. A Java Runtime Environment installed on the client machine to connect to the server
D. A valid SAP Predictive Analytics License
To Start SAP Predictive Analytics:
Note: There are 2 correct answers to this question.
A. Select Start Programs SAP Business Intelligence SAP
B. Predictive Analytics Desktop SAP Predictive Analytics . The SAP Predictive Analytics start panel appears.
C. Click the feature you want to use.
D. Allow the group to write there. This is automatically done when using the post installation configuration script.
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