By optimising the measure of similarity between samples, researchers are able to enhance the performance of various machine learning applications, including classification, clustering, and regression.

During the making of an AI model, Performance metrics like accuracy, precision, recall, F1-score, ROC curves are used to ...

Understanding how overfit and underfit work in data modeling can help marketers work better with technical teams when selecting data for ML models.