11. Case-based learning is
A class of learning algorithm that tries to find an optimum classification of a set of examples using the probabilistic theory.
Any mechanism employed by a learning system to constrain the search space of a hypothesis
An approach to the design of learning algorithms that are inspired by the fact that when people encounter new situations, they often explain them by reference to familiar experiences, adapting the explanations to fit the new situation.
None of these
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12. Binary attribute are
This takes only two values. In general, these values will be 0 and 1 and .they can be coded as one bit
The natural environment of a certain species
Systems that can be used without knowledge of internal operations
13. Classification accuracy is
A subdivision of a set of examples into a number of classes
The measure of the accuracy, of the classification of a concept that is given by a certain theory
The task of assigning a classification to a set of examples
14. Cluster is
Group of similar objects that differ significantly from other objects
Operations on a database to transform or simplify data in order to prepare it for a machine-learning algorithm
Symbolic representation of facts or ideas from which information can potentially be extracted
15. A definition of a concept is-----if it recognizes all the instances of that concept
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