Questions tagged [svr]
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When to use SVR over other regression models
I am confused about when to use Support Vector Regression over other models like Random Forest Regression and XGBoost. I expected XGBoost to give the best prediction score(r2_score) for my regression ...
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1answer
28 views
SVR is giving same prediction for all features
I'm creating a basic application to predict the 'Closing' value of a stock for day n+1, given features of stock n using Python and Scikit-learn
A sample row in my dataframe looks like this (2000 rows)...
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Understanding Support Verctor Regression (SVR)
This question also asked on another StackExchange with Bounty. Question here.
I'm working with SVR, and using this resource. Erverything is super clear, with epsilon intensive loss function (from ...
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1answer
39 views
How we can have RF-QLearning or SVR-QLearning (Combine these algorithm with a Q-Learning )
How we can have RF-QLearning or SVR-QLearning (Combine these algorithm with a Q-Learning )?
I want to replace the DNN section of Qlearning with a RF or SVR but the problem is that there is no clear ...
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0answers
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SVR with linear kernel introduces unnecessary slope in predictions
I am doing regression with an SVR (linear kernel). It seems to do somewhat well at detecting outliers, but introduces a weird slope in the predictions.
If I use a polynomial kernel (grid search for ...
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0answers
45 views
spatiotemporal prediction using support vector regression
i am using a geographic dataset and i intend to use SVR as machine learning method for predicting spatiotemporal patterns from this dataset.
My question is does SVR canensure spatiotemporal ...
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1answer
576 views
Should the output of regression models, like SVR, be normalized?
I have a regression problem which I solved using SVR. Accidentally, I normalized my output along with the inputs by removing the mean and dividing by standard ...
