ROC-AUC – My Blog

Machine Learning Metrics in Ensemble Learning: A Simple, Relatable Guide

May 2, 2024 Machine Learning, Model Evaluation

Abstract digital art of ensemble learning with floating graphs, gears, and neural networks merging into a unified prediction. Visualizes machine learning metrics like Precision-Recall curves and ROC-AUC in a minimalist, tech-inspired style.

Introduction: Why Should You Care About Evaluation Metrics? Imagine you and your friends start a band. Each of you plays a different instrument, but together, you create a flawless song….

Evaluation Metrics in Transfer Learning: How to Choose the Best Ones?

April 2, 2024 Machine Learning, Model Evaluation

Abstract neural network transferring data between domains with icons for AI evaluation metrics: F1 Score, computational speed, and domain adaptation. Futuristic tech design in neon blue and purple.

Introduction: A World Where Models Learn from Each Other! Imagine an AI model new to the medical field leveraging the experience of an older model trained to recognize cats and…

Evaluation Metrics for Machine Learning Classification Models: From Accuracy to ROC-AUC

September 1, 2023 Machine Learning, Model Evaluation

Classification evaluation metrics visualization: ROC curve, confusion matrix, Precision vs. Recall trade-off for machine learning models.

Imagine you’ve built a machine learning model to detect cancer from medical scans or filter spam emails. How do you know if it’s actually working well? Evaluation metrics act like…