![Computers and Technology](/tpl/images/cats/informatica.png)
Computers and Technology, 28.09.2019 04:30, 1hannacarson
Suppose you are working on a spam classifier, where spam emails are positive examples (y=1) and non-spam emails are negative examples (y=0). you have a training set of emails in which 99% of the emails are non-spam and the other 1% is spam. which of the following statements are true?
check all that apply.
a. if you always predict non-spam (output y=0), your classifier will have 99% accuracy on the training set, and it will likely perform similarly on the cross validation set. b.if you always predict non-spam (output y=0), your classifier will have an accuracy of 99%.c. a good classifier should have both a high precision and high recall on the cross validation set. d.if you always predict non-spam (output y=0), your classifier will have 99% accuracy on the training set, but it will do much worse on the cross validation set because it has overfit the training data.
![answer](/tpl/images/cats/otvet.png)
Answers: 1
Other questions on the subject: Computers and Technology
![image](/tpl/images/cats/informatica.png)
Computers and Technology, 22.06.2019 10:40, StephiUnicorni
When running anti-virus software , what could be a reason where recipitent is not guaranteed that data being streamed will not get interrupted?
Answers: 1
![image](/tpl/images/cats/informatica.png)
Computers and Technology, 22.06.2019 21:00, mazolethrin9632
Which of these is most responsible for differences between the twentieth century to the twenty-first century?
Answers: 2
![image](/tpl/images/cats/informatica.png)
Do you know the correct answer?
Suppose you are working on a spam classifier, where spam emails are positive examples (y=1) and non-...
Questions in other subjects:
![Konu](/tpl/images/cats/mat.png)
![Konu](/tpl/images/cats/istoriya.png)
![Konu](/tpl/images/cats/ekonomika.png)
![Konu](/tpl/images/cats/mat.png)
![Konu](/tpl/images/cats/en.png)
![Konu](/tpl/images/cats/mir.png)
World Languages, 09.11.2021 23:00
![Konu](/tpl/images/cats/obshestvoznanie.png)
![Konu](/tpl/images/cats/en.png)
English, 09.11.2021 23:00
![Konu](/tpl/images/cats/himiya.png)
![Konu](/tpl/images/cats/en.png)
English, 09.11.2021 23:10