Online Access Free E20-007 Practice Test

You are using the Apriori algorithm to determine the likelihood that a person who owns a home has a good credit score. You have determined that the confidence for the rules used in the algorithm is > 75%. You calculate lift = 1.011 for the rule, "People with good credit are homeowners". What can you determine from the lift calculation?

• A.Leverage of the rules is low
• B.Support for the association is low
• C.The rule is coincidental
• D.The rule is true

You are provided four different datasets. Initial analysis on these datasets show that they have identical mean, variance and correlation values. What should your next step in the analysis be?

• A.Combine the data from all four of the datasets and begin planning and bulding a model
• B.Select one of the four datasets and begin planning and building a model
• C.Visualize the data to further explore the characteristics of each data set
• D.Recalculate the descriptive statistics since they are unlikely to be identical for each dataset

Since R factors are categorical variables, they are most closely related to which data classification level?

• A.ordinal
• B.nominal
• C.interval
• D.ratio

Which ROC curve represents a perfect model fit?
A)

B)

C)

D)

• A.Exhibit C
• B.Exhibit A
• C.Exhibit B
• D.Exhibit D

Which word or phrase completes the statement? Data-ink ratio is to data visualization as __________ .

• A.K-means is to Naive Bayes
• B.Seasonality is to ARIMA
• C.Data scientist is to big data
• D.Confusion matrix is to classifier