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?
Consider a database with 4 transactions:Transaction 1: {cheese, bread, milk}Transaction 2: {soda, bread, milk}Transaction 3: {cheese, bread}Transaction 4: {cheese, soda, juice}The minimum support is 25%. Which rule has a confidence equal to 50%?
Under which circumstance do you need to implement N-fold cross-validation after creating a regression model?
What is an appropriate data visualization to use in a presentation for an analyst audience?
When would you use GROUP BY ROLLUP clause in your OLAP query?
You are using MADlib for Linear Regression analysis. Which value does the statement return?SELECT (linregr(depvar, indepvar)).r2 FROM zeta1;
