Skip to main content
Data Science

Return to Question

edited title
Link
Green Falcon
Green Falcon
  • 14.2k
  • 10
  • 58
  • 98

Should we normalize the output data for SVMof regression models, like SVR, be normalized?

edited body; edited tags
Source Link
Green Falcon
Green Falcon
  • 14.2k
  • 10
  • 58
  • 98

I have a regression problem which I solved using SVRSVR. Accidentally, I normalized my output along with the inputs by removing the mean and dividing by standard deviation from each feature.

Surprisingly, the Rsquare score increased by 10%.

How can one explain the impact of output normalization for svm regression?

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 deviation from each feature.

Surprisingly, the Rsquare score increased by 10%.

How can one explain the impact of output normalization for svm regression?

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 deviation from each feature.

Surprisingly, the Rsquare score increased by 10%.

How can one explain the impact of output normalization for svm regression?

Source Link
ChiPlusPlus
ChiPlusPlus
  • 547
  • 3
  • 5
  • 15

Should we normalize the output data for SVM?

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 deviation from each feature.

Surprisingly, the Rsquare score increased by 10%.

How can one explain the impact of output normalization for svm regression?