Compared to other regression techniques, KRR is especially useful when there is limited training data. There are several tools and code libraries that you can use to create a KRR regression model. The ...

Compared to other regression techniques, GPR is especially useful when there is limited training data. There are several tools and code libraries that you can use to create a GPR model. The ...

If the signal to noise ratio is low (it is a ‘hard’ problem) logistic regression is likely to perform best. In technical terms, if the AUC of the best model is below 0.8, logistic very clearly ...

For more information on this research see: Comparison and Analysis of the Effectiveness of Linear Regression, Decision Tree, and Random Forest Models for Health Insurance Premium Forecasting.