eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More. Logistic regression is a statistical technique used to ...

While multiple machine learning (ML) algorithms offered similar predictive performance, the cost-effective analysis revealed ...

Predictive analytics is an analytics process that uses statistics and modeling ... include logistic regression, decision trees, random forests and support vector machines. Use cases: Fraud ...

The most common predictive models include decision trees, regressions (linear and logistic), and neural ... For example, you can use regression to figure out how price and other key factors ...

The least absolute shrinkage and selection operator-logistic regression (Lasso-LR) model is optimal for predicting ...

logistic regression in the context of interpretability, robustness, etc. But let’s assume for now that all you care about is out of sample predictive ... one does better using whatever ...

we propose an LGD estimation model using a two- stage model, classification tree-based boosting and support vector regression (SVR). We compare the proposed model’s predictive performance with ...