There are roughly a dozen major regression techniques, and each technique has several variations. Among the most common techniques are linear regression, linear ridge regression, k-nearest neighbors ...

What are the advantages of logistic regression over decision trees? This question was originally answered on Quora by Claudia Perlich.

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.

A decision tree can help you make tough choices between different paths and outcomes, but only if you evaluate the model correctly. Decision trees are graphic models of possible decisions and all ...

Regression trees are applied to evaluate system performance – using two water quality and two economic performance metrics. Regression trees facilitated insights into the significance of uncertain ...

Unlike regression models that yield parameter estimates, the decision tree results, once tabulated and depicted, are simple to interpret and use.

There are roughly a dozen major regression techniques, and each technique has several variations. Among the most common techniques are linear regression, linear ridge regression, k-nearest neighbors ...