Questions tagged [svr]
The svr tag has no usage guidance.
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Can you please provide one fully solved Support vector regression numerical example (not python code)?
Can you please provide one fully solved Support vector regression numerical/mathematical example (not python code)?. I want to see the solving of the problem.
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Enforce Range on Support Vector Regression Predictions
I am using sklearn's Support Vector Regression to predict the flow of a pipe. The flow is continuous, and within a range say (-2000, 2000). Is there a way to engineer such information such that the ...
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Strong bias from Linear SVR meta model
I have built nine meta models based on the model stacking principle, which I compare to a reference model for a number of time series. See the results below. The 22 base models that are trained on 70% ...
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Why would a Linear SVR model greatly outperform a Linear Regression model on model stacking
I have built nine meta models based on the model stacking principle, which I compare to a reference model for a number of time series. See the results below. The 22 base models that are trained on 70% ...
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Get negative predicted value in Support Vector Regresion (SVR)
I am doing Covid-19 cases prediction using SVR, and getting negative values, while there should be no number of Covid-9 cases negative. Feature input that I was used is mobility factor (where have ...
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Why do I get an ValueError for an SVR model with RFE, but only when using pipeline?
I am running five different regression models to find the best predicting model for one variable. I am using a Leave-One-Out approach and using RFE to find the best predicting features.
Four of the ...
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Trouble performing feature selection using boruta and support vector regression
I was trying to select the most important features of a data set using Boruta in python. I have split the data into training and test set. Then I used SVM regressor to fit the data. Then I used Boruta ...
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How important is outcome variable scaling in SVM regression?
Should I scale outcome variable for SVM regression? What is the magnitude of impact of outcome variable scaling in SVM regression?
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SVR - RMSE is much worse after normalizing the data
I'm building a model using a custom kernel SVR that looks into a few of my dataframe's features and checks the proximity/distance between each pair of datapoints. The features are weigthed and the ...
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NotFittedError says this StandardScaler instance is not fitted yet while using inverse_transform() [closed]
I have a dataset and i have used Support Vector Regression.So i needed to use StandardScaler module from sklearn.preprocessing fro Feature Scaling.
After training my model when i came to predict it ...
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Scalling and unscalling of data for SVR prediction
I'm trying to use SVR to predict a certain feature. I create the model with the following code:
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Which performs better in time series forecasting, LSTM or SVR?
I have run LSTM and SVR models on various datasets having sample values in the range of 1-4000 and the MAPE obtained in SVR was consistently lesser than that obtained through LSTM. I was told the ...
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Combine AdaBoost and Support Vector Regression?
I have read several papers about using SVM instead of decision tree in AdaBoost, but I haven't seen any papers about using support vector regression (SVR) in AdaBoost. However, if using support vector ...
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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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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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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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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 ...
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