Timeline for How can I improve my model on a very very small dataset?
Current License: CC BY-SA 4.0
9 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| May 18, 2020 at 9:40 | vote | accept | Sadegh | ||
| May 13, 2020 at 21:50 | answer | added | Peter | timeline score: 1 | |
| May 13, 2020 at 19:11 | comment | added | mccurcio |
bootstrap to get a range of values then calculate the confidence intervals with the newly found values.
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| May 13, 2020 at 16:41 | comment | added | Sadegh | y is continuous and I will be using regression models for that. | |
| May 13, 2020 at 16:21 | comment | added | Peter | Is $y$ continuous or binary/multiclass? | |
| May 13, 2020 at 16:11 | comment | added | Sadegh | We're still testing, so I dont have the full data yet, but we are measuring 5 properties. I intend to do feature engineering and selection by converting (poly, log etc.) and multiplying them to find the best correlated combinations, but I think 3 or 4 final features will be good for the model and will avoid some of the overfitting. | |
| May 13, 2020 at 15:30 | comment | added | Peter | how many features (aka $x$-variables)? How does correlation look like between the $x$ | |
| May 13, 2020 at 12:42 | review | First posts | |||
| May 13, 2020 at 13:13 | |||||
| May 13, 2020 at 12:39 | history | asked | Sadegh | CC BY-SA 4.0 |