READ Free Dumps For EMC- E20-007
| Question ID 6268 | 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? |
| Option A | Support for the association is low |
| Option B | Leverage of the rules is low |
| Option C | The rule is coincidental |
| Option D | The rule is true |
| Correct Answer | C |
| Question ID 6269 | 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%? |
| Option A | {bread,milk} => {cheese} |
| Option B | {bread} => {milk} |
| Option C | {juice} => {soda} |
| Option D | {bread} => {cheese} |
| Correct Answer | D |