Nature

Quantum computing ‘KPIs’ could distinguish true breakthroughs from spurious claims

Claims of leaps in quantum computing are made almost daily, but progress is hard to judge when each research group uses its own mixture of hardware, algorithms and evaluation metrics, making it near ...
BMJ Open

Study protocol for optimising antipsychotic prescribing among hospitalised patients in the acute care setting in Scotland: a national retrospective cohort study

Introduction Prescribing high-dose antipsychotics is typically reserved for individuals with treatment-resistant severe ...
Scientific Research Publishing

Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms ()

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.
Devdiscourse

Can a universal bankruptcy model adapt to economic ups and downs? New evidence says it might

Machine learning models delivered the strongest performance across nearly all evaluation metrics. CHAID and CART provided the ...
IEEE

Multi-Output Regression for the Prediction of World-Class Performances in Women’s Handball

Abstract: The purpose of this study was to investigate the relationship between workload and in-game technical and athletic performance. To achieve this,A modeling approach that predicts multiple ...
The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...
Footballguys

Regression Alert: Week 12

Welcome to Regression Alert, your weekly guide to using regression to predict the future with uncanny accuracy. For those who are new to the feature, here's the deal: every week, I break down a topic ...
IEEE

Predicting Restaurant Ratings: A Comparative Study of Linear Regression and Decision Tree Regression Models in Machine Learning Technology

Abstract: Are you interested in trying new food and exploring new places, but unsure where to start? This research uses machine learning to predict restaurant ratings. The article compares two options ...