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Why You Shouldn’t Always Use K-Fold Cross Validation in Machine Learning

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 ...
Scientific Research Publishing

Nti, I.K., Nyarko-Boateng, O. and Aning, J. (2021) Performance of Machine Learning Algorithms with Different K Values in K-Fold Cross-Validation. International Journal of ...

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 ...
IEEE

Enhanced Fruit Classification using K-Fold Cross-Validation and Interpretation with Explainable AI(XAI)

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 ...
GitHub

BraulioPerez/parallel_cross-validation

This project implements and compares serial and parallel versions of k-fold cross-validation using Python's multiprocessing module. The goal is to speed up model training and evaluation by ...
IEEE

Enhancement of Logistic Regression to Detect Breast Cancer using Cross Validation

Abstract: Many women in the world are suffering from cancer. Breast cancer is among one of the cancer which is affecting women all over the globe. The machine learning algorithms are found good for ...
Visual Studio Magazine

AdaBoost Regression Using C#

The original AdaBoost ("adaptive boosting") algorithm is a binary classification technique (predicting a variable that has two possible values, such as the sex of a person). The AdaBoost.R2 ("AdaBoost ...
Frontiers

Comparison of Machine Learning Models for Prediction of Initial Intravenous Immunoglobulin Resistance in Children With Kawasaki Disease

Department of Pediatrics, Tsugaruhoken Medical COOP Kensei Hospital, Hirosaki, Japan We constructed an optimal machine learning (ML) method for predicting intravenous immunoglobulin (IVIG) resistance ...