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Association KHT - Machine Learning

Angel Intriago 5 preguntas

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Preguntas del test (5)

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

Información

Descripción
Informática Test sobre Association KHT - Machine Learning, creado por Angel Intriago el 12/12/2021.
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English
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