Imagine a future where artificial intelligence quietly shoulders the drudgery of software development: refactoring tangled ...

See how to query documents using natural language, LLMs, and R—including dplyr-like filtering on metadata. Plus, learn how to ...

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

Background Current guidelines for aortic valve replacement (AVR) lack consensus on prosthesis selection in middle-aged patients. This study aimed to provide a comprehensive comparison of long-term ...

This work provides a hybrid model for gender identification integrating face features with logistic regression with K-Nearest Neighbors. The model reached an amazing accuracy of 96% with a balanced ...

By contrasting the effectiveness of Logistic regression with that of the RBF SVM algorithm, the purpose of this study is to determine the usefulness of Logistic regression in the identification of ...

The workflow encompasses data preprocessing, feature engineering, class imbalance handling, hyperparameter optimization, model training, evaluation, model card generation, and model registry ...