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1. Which of the following is an unsupervised machine learning algorithm?2. For a two-class linear model classification task, the line separating the two classes is known as a3. Which of the following is not a correct statement?4.
Using trees for knowledge representation, the tree nodes involve
testing a particular attribute and follows a path down the tree. This is
an example of a5. In instance-based learning, what type of function
is used to determine which member of the training set is closest to an
unknown test instance?6. In association rules, what is meant by the term support?7. In data mining, what is a feature?8. In the Naive Bayesian algorithm, how can you deal with a missing attribute value in the training dataset?9. Which of the following is a form of rote learning?10. A good technique for evaluating the performance of a classifier is known as11. In a rule-based algorithm, an ordered set of rules is termed a12. The Naive Bayesian algorithm makes the following assumptions.13. What is known as a part of the data set that has played no part in training a classifier?14. What is meant by the A posteriori probability?15. The dimensionality of data refers to16. Attributes that act as identification codes are a symptom of 17. The model to learn from labelled training data is known as18. A machine learning technique where the training examples are stored verbatim is known as19.
Which of the following is a learning algorithm that learns a one-level
decision tree in the form of rules that all test one particular
attribute?20. A method of represeting clusters using a hierarchical representation is known as a
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