How do data scientists test the claimed accuracy of a model?
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For example, if you are a data scientist at a company, and a salesperson offers you a pre-trained model that is claimed to have a 90% accuracy of detecting fraudulent transactions. How would you go about verifying this claim?
I would test it on the data that I possess and see what the acc. is for detecting frauds in my data-set, and run a t-test with the sample acc., to see if it is close enough to 90% to make the call that it would detect 90% of all frauds in the entire population.
Let me know if this is the correct way to think about this question.
Thanks
machine-learning data accuracy
asked 5 mins ago
JimDoeJimDoe
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$begingroup$
For example, if you are a data scientist at a company, and a salesperson offers you a pre-trained model that is claimed to have a 90% accuracy of detecting fraudulent transactions. How would you go about verifying this claim?
I would test it on the data that I possess and see what the acc. is for detecting frauds in my data-set, and run a t-test with the sample acc., to see if it is close enough to 90% to make the call that it would detect 90% of all frauds in the entire population.
Let me know if this is the correct way to think about this question.
Thanks
machine-learning data accuracy
asked 5 mins ago
JimDoeJimDoe
1
New contributor
JimDoe is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
For example, if you are a data scientist at a company, and a salesperson offers you a pre-trained model that is claimed to have a 90% accuracy of detecting fraudulent transactions. How would you go about verifying this claim?
I would test it on the data that I possess and see what the acc. is for detecting frauds in my data-set, and run a t-test with the sample acc., to see if it is close enough to 90% to make the call that it would detect 90% of all frauds in the entire population.
Let me know if this is the correct way to think about this question.
Thanks
machine-learning data accuracy
asked 5 mins ago
JimDoeJimDoe
1
New contributor
JimDoe is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
For example, if you are a data scientist at a company, and a salesperson offers you a pre-trained model that is claimed to have a 90% accuracy of detecting fraudulent transactions. How would you go about verifying this claim?
I would test it on the data that I possess and see what the acc. is for detecting frauds in my data-set, and run a t-test with the sample acc., to see if it is close enough to 90% to make the call that it would detect 90% of all frauds in the entire population.
Let me know if this is the correct way to think about this question.
Thanks
machine-learning data accuracy
machine-learning data accuracy
asked 5 mins ago
JimDoeJimDoe
1
New contributor
JimDoe is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 5 mins ago
JimDoeJimDoe
1
New contributor
JimDoe is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 5 mins ago
JimDoeJimDoe
1
New contributor
JimDoe is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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asked 5 mins ago
JimDoeJimDoe
1
asked 5 mins ago
JimDoeJimDoe
1
1
New contributor
JimDoe is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
JimDoe is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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