Machine Learning Model Integrating Computed Tomography Image–Derived Radiomics and Circulating miRNAs to Predict Residual Teratoma in Metastatic Nonseminoma Testicular Cancer ...

The ROC curve is a fundamental tool in machine learning classification tasks, providing a visual representation of the model's ability to discriminate between positive and negative cases across ...

This study focuses on predicting cardiovascular disease risk using a diverse set of machine learning and deep learning models, and it is worth noting the broader spectrum of applications in disease ...

machine-learning-algorithms support-vector-machine decision-tree-classifier online-learning model-evaluation gradient-boosting knearest-neighbor-classifier random-forest-classifier drift-detection ...

In this article, we will learn more about the ROC-AUC curve and how we make use of it to compare different machine learning models to select the best performing model.