How to fine tune a regression model?
Answers from top 8 papers
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| Papers (8) | Insight |
|---|---|
| These findings can help modelers better choose calibration methods and fine-tune key parameters. | |
114 Citations | However, results from two straightforward approaches to this problem suggest that it is easy to \over-tune" the model, resulting in less successful control. |
| This article gives a robust technique for model selection in regression models, an important aspect of any data analysis involving regression. | |
37 Citations | The resulting algorithm is an out of the box solution to regression problems, with no need to tune parameters manually. |
13 Citations | We propose a new algorithm that combines penalized regression with model averaging for improved prediction. |
24 Citations | Through our numerical experiments, we are able to provide practical directions to tune the parameters involved in the model. |
13 Citations | Statistical results show that the developed regression model is adequate. |
| for regression coefficients suggested a fair fit of the model. |
Related Questions
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