Add k-fold cross-validation support integrated into the GEPA optimization loop to provide robust evaluation during training, not just at the end. This ensures the optimizer selects candidates based on ...

K-Fold cross-validation is popular, but it’s not always the best choice. Learn when K-Fold works, when it can mislead your results, and explore alternative validation strategies for more reliable ...

Learn how to choose the right cross-validation method for your machine learning projects. Compare techniques like k-fold, stratified, and leave-one-out cross-validation, and understand when to use ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...

ABSTRACT: This paper aims to investigate the effectiveness of logistic regression and discriminant analysis in predicting diabetes in patients using a diabetes dataset. Additionally, the paper ...

Background: Type 2 diabetes mellitus (T2DM) is a common comorbidity of chronic obstructive pulmonary disease (COPD), which significantly increases the risk of rehospitalization and mortality in ...

Abstract: Recent inventions in different fields had given rise to gradual improvement in the agricultural field, this research work investigates the recognition and classification of fruits with ...