Timeline for Why is correlation between my independent variables helping my linear regression model?
Current License: CC BY-SA 4.0
12 events
| when toggle format | what | by | license | comment | |
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| Feb 22, 2020 at 13:46 | comment | added | rapaio | That is untrue. Colinearity means linear combination between any number of variables. Taxe for example x1, x2, x3=x1+x2 | |
| Feb 22, 2020 at 13:29 | comment | added | Vivek | I am guessing it is an overfit model. Also, I doubt if there will be collinearity among the first 3 - the collinearity would exist between the each of the first 3 with the fourth variable. | |
| Feb 22, 2020 at 10:02 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Oct 25, 2019 at 6:01 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Jun 27, 2019 at 4:05 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Feb 27, 2019 at 3:03 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Jan 28, 2019 at 2:32 | answer | added | Amir Imani | timeline score: 1 | |
| Jan 27, 2019 at 16:58 | comment | added | Rishabh Sharma | It;s not NN based model. It's a model based on gradient descent and regression much like y_predict = m1x1 + m2x2 + ... + c | |
| Jan 27, 2019 at 16:52 | comment | added | DuttaA | I don't know what sickit-learn is using, so you need to specify what exactly are you using...whether it is a NN based model or not.. | |
| Jan 27, 2019 at 16:50 | comment | added | Rishabh Sharma | @DuttaA It is a linear regression model from scikit-learn. There are 29 total columns (all continuous) and I am trying to predict a float number from 0 to 1 which can have any value upto 2 places of decimal. | |
| Jan 27, 2019 at 16:49 | comment | added | DuttaA | It would be better if you specify the model...is it a NN linear regression model? or simply a ML regression model? Also what are you trying to predict? | |
| Jan 27, 2019 at 12:30 | history | asked | Rishabh Sharma | CC BY-SA 4.0 |