Timeline for GridSearch mean_test_score vs mean_train_score
Current License: CC BY-SA 4.0
4 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| May 7, 2018 at 16:58 | vote | accept | TheOpti | ||
| May 7, 2018 at 13:23 | comment | added | David Masip | No, in general training accuracy is lower than 100%. Take logistic regression, unless your data are linearly separable your training accuracy will be lower than 100%. | |
| May 7, 2018 at 12:24 | comment | added | TheOpti | Could you be more precise about train error? I don't get it - if you train model based on some data and then you use this set of data to test model, you should have 100% accurate model - right? | |
| May 7, 2018 at 5:16 | history | answered | David Masip | CC BY-SA 4.0 |