What's the point of the test set?
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I get the point of a validation and training set, but the importance of a test set doesn't click for me.
Let's say you train a model and you try your best to avoid overfitting by testing your model on the validation set.
After you've decided you have a model your proud of, you do a final sanity check on the test set, let's say the performance is trash. Are you really going to start all over? What decision making does it inform? In my workplace, the way timelines are structured, there's no time to start over.
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asked 12 mins ago
Nick CoronaNick Corona
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add a comment |
$begingroup$
I get the point of a validation and training set, but the importance of a test set doesn't click for me.
Let's say you train a model and you try your best to avoid overfitting by testing your model on the validation set.
After you've decided you have a model your proud of, you do a final sanity check on the test set, let's say the performance is trash. Are you really going to start all over? What decision making does it inform? In my workplace, the way timelines are structured, there's no time to start over.
dataset
asked 12 mins ago
Nick CoronaNick Corona
1
New contributor
Nick Corona 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 |
$begingroup$
I get the point of a validation and training set, but the importance of a test set doesn't click for me.
Let's say you train a model and you try your best to avoid overfitting by testing your model on the validation set.
After you've decided you have a model your proud of, you do a final sanity check on the test set, let's say the performance is trash. Are you really going to start all over? What decision making does it inform? In my workplace, the way timelines are structured, there's no time to start over.
dataset
asked 12 mins ago
Nick CoronaNick Corona
1
New contributor
Nick Corona is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I get the point of a validation and training set, but the importance of a test set doesn't click for me.
Let's say you train a model and you try your best to avoid overfitting by testing your model on the validation set.
After you've decided you have a model your proud of, you do a final sanity check on the test set, let's say the performance is trash. Are you really going to start all over? What decision making does it inform? In my workplace, the way timelines are structured, there's no time to start over.
dataset
dataset
asked 12 mins ago
Nick CoronaNick Corona
1
New contributor
Nick Corona is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 12 mins ago
Nick CoronaNick Corona
1
New contributor
Nick Corona is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 12 mins ago
Nick CoronaNick Corona
1
New contributor
Nick Corona is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 12 mins ago
Nick CoronaNick Corona
1
asked 12 mins ago
Nick CoronaNick Corona
1
1
New contributor
Nick Corona is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Nick Corona is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Nick Corona is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
add a comment |
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