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Glite Dictionary
🕵️ Russian spy agency 🤖 Machine learning method
SVR

SVR

9.5
A computer method that learns from data to predict numbers using support vectors
  • noun
  • Specialized
translation icon : SVR
  • This threshold is obtained through an epsilon SVR model that is built through a leave-one-patient-out approach.

Examples

  • Thirdly, these high correlations translate into errors of approximately 10% when estimating the UPDRS scores through an epsilon SVR model.

    Academic text (2016)

  • In this study, we used an SVR model to predict the future stock prices based on historical data.

  • Pegylated IFN is more effective at achieving a sustained viral response (SVR) and improving liver histology while maintaining a similar toxicity profile and reducing failure rates 8, 15, 48, 49, 50.

    Academic text (2007)

  • The team achieved high prediction accuracy by optimizing the parameters of the SVR algorithm.

  • By applying SVR, we were able to forecast the continuous outcomes of the survey results effectively.

Synonyms

SVM
vsSVR
  • Specialized
1 9.5

A computer method that learns from examples to sort or predict information

limits this approach to regression only, aiming to predict continuous outputs
support vector machine
vsSVR
  • Specialized
8.4

A computer program that learns from examples to put data into groups or predict values

focuses solely on predicting continuous numerical values with support vectors and kernels
support vector network
vsSVR
  • Specialized
8.1

A computer method that finds a clear boundary to separate different groups of data

narrows the method to predicting continuous numerical values rather than many tasks
regressor
vsSVR
  • Specialized
8.3

A model that predicts a number from data like sales or temperature

applies the same prediction goal but uses a specific support-vector kernel method

Surface Forms

SVR singular
SVRs plural

Etymology

SVR stands for Support Vector Regression, a name made from the words 'support', 'vector', and 'regression', where 'support' means key examples, 'vector' means a list of numbers, and 'regression' means 'predicting numbers'. So SVR is a machine learning method that uses important data points to predict numerical values.