Breaking down ROC-AUC: A Comprehensive Guide to Binary Classification Metrics Understanding and evaluating model performance is crucial in today’s machine learning-driven world. In this guide, we will explore the ROC-AUC (Receiver Operating... Amir Gorodetzky 3 min read Aug 31, 2023
Understanding Precision: The fine art of accurate positive predictions Today, we’ll take a look at the intricacies of the machine learning evaluation metric, Precision. In this practical guide, we aim to... Or Jacobi 5 min read Aug 20, 2023
Recall: A key metric for evaluating model performance Measuring the performance of ML models is crucial, and the ML evaluation metric – Recall – holds a special place, especially when... Or Jacobi 8 min read Aug 19, 2023
F1 Score: A Key Metric for Evaluating Model Performance Evaluating the performance of our ML models is an integral part of our work. A model’s performance can greatly influence its utility... Or Jacobi 5 min read Aug 18, 2023
