Question 51 : How the decision tree reaches its decision?
1. Single test
2. Two test
3. Sequence of test
4. No test
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Question 52 : What takes input as an object described by a set of attributes?
1. Tree
2. Graph
3. Decision graph
4. Decision tree
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Question 53 : What will happen if the hypothesis space contains the true function?
1. Realizable
2. Unrealizable
3. Both Realizable & Unrealizable
4. None of the mentioned
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Question 54 : Which is used to choose among multiple consistent hypotheses?
1. Razor
2. Ockham razor
3. Learning element
4. None of the mentioned
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Question 55 : Which is used for utility functions in game playing algorithm?
1. Linear polynomial
2. Weighted polynomial
3. Polynomial
4. Linear weighted polynomial
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Question 56 : How many types are available in machine learning?
1. 1
2. 2
3. 3
4. 4
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Question 57 : What is used in determining the nature of the learning problem?
1. Environment
2. Feedback
3. Problem
4. All of the mentioned
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Question 58 : How many things are concerned in design of a learning element?
1. 1
2. 2
3. 3
4. 4
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Question 59 : Which modifies the performance element so that it makes better decision?
1. Performance element
2. Changing element
3. Learning element
4. None of the mentioned
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Question 60 : What will take place as the agent observes its interactions with the world?
1. Learning
2. Hearing
3. Perceiving
4. Speech
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