Quiz
Association KHT - Machine Learning
Questions in this quiz (5)
1What are the two pillars in which Association Analysis is based?
- AAntecedents and Consequents
- BFrequency and rule reliability
- CPrior and Posterior Confidence
- DItem sets and Rule support
2Which of these statements regarding Association is FALSE?
- AFor customer level predictions, Tabular format is preferred
- BConfidence Ratio range is (-1 , 1)
- CTransactional format usually generates more records
- DLift can be lower than 1
3Based on the image and rule given, what are Support and Confidence values?
- AS: 80%, C: 20%
- BNone of the others
- CS: 40%, C: 80%
- DS: 20%, C: 40%
4If Confidence Difference threshold for a rule is 60, which one of the following is FALSE?
- AThere will be no positive rules for products with Prior Confidences > 40
- BNegatives rules cannot be extracted
- CRules with low Confidence values may be extracted
- DWith only this information there is no way to calculate Lift
5Based on the image below, which of the following statements is CORRECT?
- AAntecedents + Consequent are present in approx. 0.6% of tickets
- BConf. ratio is approximately 0.4
- CLift is approx. 0.6
- DConfidence difference is absolute value of (0.40 - 0.006)
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- Description
- Informática Quiz on Association KHT - Machine Learning, created by Angel Intriago on 12/12/2021.
- Author
- Angel Intriago
- Language
- English
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