This study aimed to classify ... integrity. Decision tree algorithms have been successfully applied to various agricultural contexts, such as classifying raisins by size, shape, color, and texture ...

Abstract: Many data-driven personalized services require that private data of users is scored against a trained machine learning model. In this paper we propose a novel protocol for privacy-preserving ...

WhyNot is a Python package that provides an experimental ... developing new methods for causal inference and decision making in dynamic settings. WhyNot can serve as a substitute for ad-hoc synthetic ...

Qlik has never been one to jump on a bandwagon. Today's keynote is no different — it articulated a philosophy where data tools evolve from passive reporting systems into proactive engines of ...

Abstract: Class imbalance poses a critical challenge in binary classification problems ... deep learning techniques struggle with such imbalances, decision trees and random forests combined with data ...