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Questions and Answers
What is the entropy of a group in which all examples belong to the same class?
What is the entropy of a group in which all examples belong to the same class?
What is the entropy of a group with 50% in either class?
What is the entropy of a group with 50% in either class?
Which of the following best describes the goal of information gain?
Which of the following best describes the goal of information gain?
In the Huffman coding example provided, what is the average message length?
In the Huffman coding example provided, what is the average message length?
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What is the relationship between entropy and conditional entropy?
What is the relationship between entropy and conditional entropy?
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Which of the following is a key property of decision trees?
Which of the following is a key property of decision trees?
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What does impurity measure in a group of examples?
What does impurity measure in a group of examples?
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Which coding scheme assigns bits based on -log2P(X=i) to encode a message X?
Which coding scheme assigns bits based on -log2P(X=i) to encode a message X?
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What does entropy measure for a random variable X?
What does entropy measure for a random variable X?
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In decision trees, what does Information Gain help determine?
In decision trees, what does Information Gain help determine?
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What is Mutual Information used for in machine learning?
What is Mutual Information used for in machine learning?
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What is the purpose of Information Gain in the context of decision trees?
What is the purpose of Information Gain in the context of decision trees?
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What is the formula for calculating the entropy of a random variable X?
What is the formula for calculating the entropy of a random variable X?
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What is the relationship between Information Gain and Mutual Information?
What is the relationship between Information Gain and Mutual Information?
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What is the purpose of calculating the conditional entropy in the context of decision trees?
What is the purpose of calculating the conditional entropy in the context of decision trees?
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In the example shown, what is the value of the Information Gain when splitting on the attribute used in the root node?
In the example shown, what is the value of the Information Gain when splitting on the attribute used in the root node?
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Which of the following statements about entropy and information gain is true?
Which of the following statements about entropy and information gain is true?
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