True or false: the CRISP-DM Process Methodology is a linear process.
A. True
B. False
What will occur if the deployment data has a very different range than the data that was used in modeling?
A. The model will underpredict.
B. The model will overpredict.
C. The model may overpredict or underpredict.
D. The model nugget will automatically nullify those cases that are out of range .075.
Examine the Data Audit output shown below.
What action will occur in a generated Outlier and Extreme Supernode for HOLCOST?
A. Nine records will be set to the system missing (null) value for HOLCOST.
B. Ten records will be deleted.
C. Ten records will be set to the system missing (null) value for HOLCOST.
D. Nine records will be deleted.
True or false: running Auto Dataprep results in data transformation nodes placed in a Supernode on the canvas.
A. True
B. False
Which node can be used to impute (estimate) missing values?
A. Data Audit node
B. Balance node
C. Filler node D. Reclassify node
True or false: given the information in the Data Audit Quality table below,
the generated Filter node will exclude only the fields logwire, logequi, logtoll, and logcard.
A. True
B. False
How many phases are in the CRISP-DM Process Methodology?
A. Four
B. Five
C. Six
D. Seven
An online retailer wants to identify groups of customers based on components of their buying behavior, such as types of products purchased, volume of purchases, and frequency of purchases. What type of model would be used?
A. Association model
B. Segmentation model
C. Classification model
D. Sequence model
Which node should be used if the user wanted to see the number of cases in each category for a variable of Categorical Measurement level?
A.
B.
C.
D.
A prison system has historical data on prison inmates and wants to find what factors are related to recidivism (return to prison). What type of model would be used?
A. Segmentation model
B. Classification model
C. Association model
D. Anomaly model
