A. Explain Overfitting. What are the reasons for overfitting? How can you solve it? B. We have a document d that is 100 words long. It has the word 'shallow' in it 2 times and the word 'but' in it 7 times. If we have a total of 10,000 documents and 1,000 of them have the word 'shallow' in it, and 9,000 of them have the word 'but' in it, show which word is more important in d in terms of TF-IDF. C. Why is accuracy a bad performance metric? Explain.
A. Explain Overfitting. What are the reasons for overfitting? How can you solve it? B. We have a document d that is 100 words long. It has the word 'shallow' in it 2 times and the word 'but' in it 7 times. If we have a total of 10,000 documents and 1,000 of them have the word 'shallow' in it, and 9,000 of them have the word 'but' in it, show which word is more important in d in terms of TF-IDF. C. Why is accuracy a bad performance metric? Explain.
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Transcribed Image Text:A. Explain Overfitting. What are the reasons for overfitting? How can
you solve it?
B. We have a document d that is 100 words long. It has the word
'shallow' in it 2 times and the word 'but' in it 7 times. If we have a total
of 10,000 documents and 1,000 of them have the word 'shallow' in it,
and 9,000 of them have the word 'but' in it, show which word is more
important in d in terms of TF-IDF.
C. Why is accuracy a bad performance metric? Explain.
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