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Is it correct to join training and validation set before inferring on test-set?
Why use both validation set and test set?Training set, validation set, and test set with OrangeWhy can't I choose my hyper-parameter in the training set?Why would a validation set wear out slower than a test set?Is it correct to use non-target values of test set to engineer new features for train set?Feature Scaling and normalization in cross-validation setOversampling before Cross-Validation, is it a problem?Difference between train, test split before preprocessing and after preprocessingWhat's the point of the test set?Cross validation Vs. Train Validate Test
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I would like to know if is a correct procedure to join training-set and validation-set together, in order to train the model on this new dataset, before making predictions on the test-set.
machine-learning dataset training
asked 9 hours ago
SimoneSimone
2964 silver badges15 bronze badges
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add a comment |
$begingroup$
I would like to know if is a correct procedure to join training-set and validation-set together, in order to train the model on this new dataset, before making predictions on the test-set.
machine-learning dataset training
asked 9 hours ago
SimoneSimone
2964 silver badges15 bronze badges
$endgroup$
add a comment |
$begingroup$
I would like to know if is a correct procedure to join training-set and validation-set together, in order to train the model on this new dataset, before making predictions on the test-set.
machine-learning dataset training
asked 9 hours ago
SimoneSimone
2964 silver badges15 bronze badges
$endgroup$
I would like to know if is a correct procedure to join training-set and validation-set together, in order to train the model on this new dataset, before making predictions on the test-set.
machine-learning dataset training
machine-learning dataset training
asked 9 hours ago
SimoneSimone
2964 silver badges15 bronze badges
asked 9 hours ago
SimoneSimone
2964 silver badges15 bronze badges
asked 9 hours ago
SimoneSimone
2964 silver badges15 bronze badges
asked 9 hours ago
SimoneSimone
2964 silver badges15 bronze badges
asked 9 hours ago
SimoneSimone
2964 silver badges15 bronze badges
2964 silver badges15 bronze badges
add a comment |
add a comment |
2 Answers
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Yes, once you optimized your model and parameters with the validation set, it is advised to train your final model on the combination of the training and validation set before applying it to the test set.
Remember that once you tested your model on the test set, you should not tweak it anymore.
answered 9 hours ago
Alexis PisterAlexis Pister
1848 bronze badges
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add a comment |
$begingroup$
In theory, you use the training set to learn the weights, the validation set to adjust the network architecture and the testing set to verify the generalisation of your network. You can find further details on this towards data science article. Only the accuracy on the testing set - unseen during both the training and the architecture tuning - give you an unbiased idea of your performance.
If you want now to use your model on new data - in production for instance - you could re-train it on the training + validation sets.
answered 9 hours ago
Samuel TapSamuel Tap
111 bronze badge
New contributor
Samuel Tap is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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2 Answers
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2 Answers
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$begingroup$
Yes, once you optimized your model and parameters with the validation set, it is advised to train your final model on the combination of the training and validation set before applying it to the test set.
Remember that once you tested your model on the test set, you should not tweak it anymore.
answered 9 hours ago
Alexis PisterAlexis Pister
1848 bronze badges
$endgroup$
add a comment |
$begingroup$
Yes, once you optimized your model and parameters with the validation set, it is advised to train your final model on the combination of the training and validation set before applying it to the test set.
Remember that once you tested your model on the test set, you should not tweak it anymore.
answered 9 hours ago
Alexis PisterAlexis Pister
1848 bronze badges
$endgroup$
add a comment |
$begingroup$
Yes, once you optimized your model and parameters with the validation set, it is advised to train your final model on the combination of the training and validation set before applying it to the test set.
Remember that once you tested your model on the test set, you should not tweak it anymore.
answered 9 hours ago
Alexis PisterAlexis Pister
1848 bronze badges
$endgroup$
Yes, once you optimized your model and parameters with the validation set, it is advised to train your final model on the combination of the training and validation set before applying it to the test set.
Remember that once you tested your model on the test set, you should not tweak it anymore.
answered 9 hours ago
Alexis PisterAlexis Pister
1848 bronze badges
answered 9 hours ago
Alexis PisterAlexis Pister
1848 bronze badges
answered 9 hours ago
Alexis PisterAlexis Pister
1848 bronze badges
answered 9 hours ago
Alexis PisterAlexis Pister
1848 bronze badges
1848 bronze badges
add a comment |
add a comment |
$begingroup$
In theory, you use the training set to learn the weights, the validation set to adjust the network architecture and the testing set to verify the generalisation of your network. You can find further details on this towards data science article. Only the accuracy on the testing set - unseen during both the training and the architecture tuning - give you an unbiased idea of your performance.
If you want now to use your model on new data - in production for instance - you could re-train it on the training + validation sets.
answered 9 hours ago
Samuel TapSamuel Tap
111 bronze badge
New contributor
Samuel Tap 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 |
$begingroup$
In theory, you use the training set to learn the weights, the validation set to adjust the network architecture and the testing set to verify the generalisation of your network. You can find further details on this towards data science article. Only the accuracy on the testing set - unseen during both the training and the architecture tuning - give you an unbiased idea of your performance.
If you want now to use your model on new data - in production for instance - you could re-train it on the training + validation sets.
answered 9 hours ago
Samuel TapSamuel Tap
111 bronze badge
New contributor
Samuel Tap 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 |
$begingroup$
In theory, you use the training set to learn the weights, the validation set to adjust the network architecture and the testing set to verify the generalisation of your network. You can find further details on this towards data science article. Only the accuracy on the testing set - unseen during both the training and the architecture tuning - give you an unbiased idea of your performance.
If you want now to use your model on new data - in production for instance - you could re-train it on the training + validation sets.
answered 9 hours ago
Samuel TapSamuel Tap
111 bronze badge
New contributor
Samuel Tap is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
In theory, you use the training set to learn the weights, the validation set to adjust the network architecture and the testing set to verify the generalisation of your network. You can find further details on this towards data science article. Only the accuracy on the testing set - unseen during both the training and the architecture tuning - give you an unbiased idea of your performance.
If you want now to use your model on new data - in production for instance - you could re-train it on the training + validation sets.
answered 9 hours ago
Samuel TapSamuel Tap
111 bronze badge
New contributor
Samuel Tap is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
answered 9 hours ago
Samuel TapSamuel Tap
111 bronze badge
New contributor
Samuel Tap is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
answered 9 hours ago
Samuel TapSamuel Tap
111 bronze badge
answered 9 hours ago
Samuel TapSamuel Tap
111 bronze badge
111 bronze badge
New contributor
Samuel Tap is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Samuel Tap is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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