Abstract: Estimating and applying effective regression techniques for datasets. The system first applies each of multiple regression techniques to each of multiple reference datasets, and determines a corresponding machine-learning metric for each regression techniques applied to each reference datasets. For each reference datasets, the system uses the determined machine-learning metric to estimate one or more effective regression techniques for execution of the corresponding reference datasets and records the estimated optimal regression techniques and the corresponding reference dataset. A user dataset is compared to at least some of the reference datasets to identify a reference dataset that has an acceptably similar probability distribution to the user dataset. At least one of the optimal regression techniques corresponding to the found reference dataset is retrieved and applied to the user dataset.