Which kind of algorithm works best (supervised, unsupervised, classification, regression, etc.) depends on the kind of problem you’re solving, the computing resources available, and the nature ...

The behaviour of regression and classification algorithms varied markedly when selection was done at different thresholds, ... and assigning a linear loss function for larger residuals.

Which kind of algorithm works best (supervised, unsupervised, classification, regression, etc.) depends on the kind of problem you’re solving, the computing resources available, and the nature ...

In this study, using a data set composed of five Japanese regional banks, we propose an LGD estimation model using a two- stage model, classification tree-based boosting and support vector regression ...

In a case-control study nested within a large primary care network in England, LR performed as well as RF for pancreas cancer classification. 9 Conversely, an EHR-based study from two Boston hospitals ...