Timeline for Time series prediction vs simple regression prediction [duplicate]
Current License: CC BY-SA 4.0
10 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Mar 25, 2022 at 17:53 | history | left closed in review |
Adrian Keister Sycorax♦ |
Duplicate | |
| S Mar 24, 2022 at 23:41 | review | Reopen votes | |||
| Mar 25, 2022 at 17:53 | |||||
| S Mar 24, 2022 at 23:41 | history | edited | lsr729 | CC BY-SA 4.0 |
added details
Added to review
|
| Mar 24, 2022 at 23:10 | history | closed | Sycorax♦ machine-learning Users with the machine-learning badge or a synonym can single-handedly close machine-learning questions as duplicates and reopen them as needed. | Duplicate of Random forest regressor accuracy reduces when the input data is not shuffled | |
| Mar 24, 2022 at 22:34 | comment | added | lsr729 | @dipetkov I edited the question and expressed what my objective is. | |
| Mar 24, 2022 at 22:33 | history | edited | lsr729 | CC BY-SA 4.0 |
added 311 characters in body
|
| Mar 24, 2022 at 22:23 | comment | added | dipetkov | And as in the previous question you emphasize making predictions. While in fact "I would like to change the independent data and see how the response variable would have been if the X_1 is increased by 10%..." | |
| Mar 24, 2022 at 22:08 | comment | added | lsr729 | That's true, I will edit it, I have been writing the question for a long. | |
| Mar 24, 2022 at 22:06 | comment | added | Sycorax♦ | "I noticed that when I provide the training data with shuffling = True, it predicts with great accuracy but if shuffling = False, the accuracy is very poor. My second question is- why does this happen?" This is already answered in your other question. | |
| Mar 24, 2022 at 22:04 | history | asked | lsr729 | CC BY-SA 4.0 |