model for chronic kidney disease diagnosis that achieves 100% accuracy, outperforming standard machine learning models such …

, developed powerful (so-called Machine Learning) algorithms that are very successful in prediction tasks. The new literature on … Causal Machine Learning unites these developments by using algorithms originating in Machine Learning for improved causal … field of active labour market programme evaluation to showcase how Causal Machine Learning can be applied to improve the …

regain a sense of self-control. Using Machine Learning model and household-level data with a focus on the wine market in the …

this end, we apply a battery of state-of-the-art variable selection techniques from machine learning, comprising Bayesian …

Bitcoin network can be solved with sufficiently high accuracy using machine learning methods. The paper provides a comparative … study of various machine learning methods to solve the mentioned problem: logistic regression, decision tree, random forest …