🛠️ Scheduled Maintenance | We’ll be undergoing scheduled maintenance and upgrades between 00:00 PST Jan 26th until 00:00 PST Jan 28th. There may be brief interruption of services in that period. We apologize for the inconvenience.

×
The 365 Data Science team is proud to invite you to our own community forum. A very well built system to support your queries, questions and give the chance to show your knowledge and help others in their path of becoming Data Science specialists.
Ask
Anybody can ask a question
Answer
Anybody can answer
Vote
The best answers are voted up and moderated by our team

False positive/negative

Back to all questions

False positive/negative

1 year ago
Vote Up Vote Down
0
Votes
1
Answer

Is it important that we remember the errors I and II are called false positive and false negative?

#, #, #
1 Answer

365 Team 1 year ago
Vote Up Vote Down
0
Votes

Hi Orion,

It is not super important, however, many practitioners prefer using ‘false positive’ and ‘false negative’ instead of Type I error and Type II error. If you need it in practice, you will quickly learn the terms, so no worries!

Best,
The 365 Team

You must to answer this question.

Not the answer you are looking for? Browse other questions tagged #, #, #.