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SPSS IBM SPSS Modeler Professional Certification Sample Questions:

1. Consider the output from the analysis node.

For the training data set, the Neutral Net and the C5 model make the same prediction:

A) 92.77% of the time
B) 93.80% of the time
C) 87.62% of the time
D) 87.79% of the time.

2. Some data mining model such as Neural Net and Support Vector Machine models do not provide equations or rules to help analysis determine how the models use the input fields for prediction. If you have a categorical target field and a continuous input field, which graphing technique could ad with interpretation?

A) Histogram node
B) Plot node
C) Distribution node
D) Evaluation node

3. Examine the Matrix table shown below which relates the field churn (whether a customer will churn) to age cat (age groups).

Based on the table, which statements are accurate? (Select all that apply)

A) Older age groups are less likely to churn than the younger ages.
B) 42.283% of the 18-24 year old will churn.
C) Measured by Chi-square is a weak relationship.
D) 1.768% of those that churn are over 65 years of age.

4. Which statement about the filer dialogue shown below is correct?

A) Missing values for the field @FIELD will be replaced.
B) No missing values will be replaced because neither field was specified in Condition box for missing value replacement.
C) The missing values for both AGE and INCOME will be replaced by zeroes.
D) None of the statements is correct.

5. Looking at the gains chart shown below, which model has a higher level of accuracy when predicting Churn = "Y"?

A) The models are equivalent
B) The structured and unstructured data model
C) Predictive accuracy cannot be determined from this gains chart
D) The structured data model

Solutions: