Timeline for is this grid search methodology correct?
Current License: CC BY-SA 4.0
7 events
| when toggle format | what | by | license | comment | |
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| May 20, 2020 at 8:56 | history | edited | German C M | CC BY-SA 4.0 |
detail on the user example
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| May 20, 2020 at 8:41 | history | edited | German C M | CC BY-SA 4.0 |
k-fold cross-valiation strategy detailed
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| May 20, 2020 at 8:40 | comment | added | German C M | exactly, when doing cross-validation you do not need to carry out any additional split, only the TRAIN (800k)-VALIDATION (named test in scikit documentation)(200k) split, since k-fold cross-validation already makes a train-test split in each "fold iteration". You can look again at my answer, completed with this info :) | |
| May 20, 2020 at 7:24 | comment | added | Maths12 | thanks for this just so i am clear me applying grid search on my entire X,Y is ok? as long as i test the clf.best_estimator_ on validation? | |
| May 19, 2020 at 17:31 | history | edited | German C M | CC BY-SA 4.0 |
added 99 characters in body
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| May 19, 2020 at 16:23 | history | edited | German C M | CC BY-SA 4.0 |
added 308 characters in body
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| May 19, 2020 at 16:01 | history | answered | German C M | CC BY-SA 4.0 |