Abstract: In many practical applications, it is necessary to deal with unpredictable functions of time, hence the importance of random processes. In this chapter, we first discuss the classification ...

Abstract: Random Forest variable importance measures such as mean decrease in accuracy or Gini index are often used to reduce the number of predictor variables for a given classification problem.

Introduction: Moving Beyond Predictive Accuracy  Prediction has been traditionally the backbone of applied data science. From ...

Betting has always been about patterns. Long ago, bettors followed handwritten lists from bookmakers, studying margins ...

The concept of "sniping" in the casino environment differs significantly from sports betting it relies on capturing statistical variance in real-time game ...

Safety Leadership, Worker Behaviour, Safety Performance, Integrative Model, Ghanaian Construction Industry Share and Cite: ...

Objectives This study examined discharge outcomes and their predictors among patients enrolled in remote patient monitoring (RPM) support in Ontario, Canada. Design A 6-month competing risk survival ...