Timeline for Using PCA to reduce dimensionality of training and testing data [duplicate]
Current License: CC BY-SA 4.0
9 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jan 24, 2019 at 7:10 | history | closed |
amoeba mkt kjetil b halvorsen♦ Michael R. Chernick Juho Kokkala |
Duplicate of PCA and the train/test split | |
| Jan 23, 2019 at 16:08 | vote | accept | DasBoot | ||
| Jan 23, 2019 at 15:15 | review | Close votes | |||
| Jan 24, 2019 at 7:10 | |||||
| Jan 23, 2019 at 14:57 | history | edited | amoeba | CC BY-SA 4.0 |
edited title
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| Jan 23, 2019 at 14:22 | answer | added | sniggatooth | timeline score: 6 | |
| Jan 23, 2019 at 13:42 | comment | added | DasBoot | @bi_scholar that's exactly my thinking, treat testing data as non-existing until the model is actually ready to be tested. | |
| Jan 23, 2019 at 13:38 | comment | added | Scholar | I think you are rightfully concerned about the later approach. For test data, it is best practice to simply pretend it doesn't exist during model build and only use it at the very end. | |
| Jan 23, 2019 at 12:40 | review | First posts | |||
| Jan 23, 2019 at 13:30 | |||||
| Jan 23, 2019 at 12:36 | history | asked | DasBoot | CC BY-SA 4.0 |