Timeline for Is regression method the best for my case?
Current License: CC BY-SA 4.0
11 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jul 12, 2023 at 7:42 | comment | added | Dr. Snoopy | @BrianO'Donnell Labels can be continuous or discrete, being a label does not imply classification. | |
| Jul 12, 2023 at 3:16 | comment | added | Brian O'Donnell | @Dr Snoopy you confirmed what I said: Predicting integers is classification. I said that the labels can be the whole numbers, i.e. integers. | |
| Jul 12, 2023 at 0:45 | comment | added | Dr. Snoopy | Predicting integers is classification, not regression, as integers are discrete values. | |
| Jul 12, 2023 at 0:44 | comment | added | Dr. Snoopy | @BrianO'Donnell What you said makes no sense, classification predicts discrete values, regression predicts continuous values, value and label have no interesting meaning in your comment. | |
| Jul 11, 2023 at 19:16 | comment | added | Lelouch | So its probably regression then. Try the simplest model and increase the complexity if needed. | |
| Jul 11, 2023 at 16:53 | history | edited | Putnik | CC BY-SA 4.0 |
added 79 characters in body
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| Jul 11, 2023 at 16:51 | comment | added | Putnik | @Lelouch, Brian, it is hardly classification because output varies from +100million to -100 million or even more in the future. And yes, getting 58 is much worse than 2 if we expect 3. | |
| Jul 11, 2023 at 12:55 | comment | added | Brian O'Donnell | Classification models predict a label. In your case that may be a whole number (e.g. 0, 1, 2, ...). Regression models predict a value. An important question is: How many possible outputs do you expect to have? If it is limited and the values are whole numbers you could treat the problem as a classification problem. | |
| Jul 11, 2023 at 12:06 | comment | added | Lelouch | What is the meaning of the output ? Is there some ordinal order ? Like is is better to predict $2$ or $58$ when you expect $3$ ? If it is classification both are usually as bad (like predicting horse or dog instead of pandas, both errors are as bad) while regression is sensible to numerics. | |
| S Jul 11, 2023 at 11:12 | review | First questions | |||
| Jul 18, 2023 at 16:05 | |||||
| S Jul 11, 2023 at 11:12 | history | asked | Putnik | CC BY-SA 4.0 |