F1-Score – My Blog

Machine Learning Metrics in Online Learning: How to Know If Your Model is Doing Well?

July 2, 2024 Machine Learning, Model Evaluation

Visual representation of machine learning metrics for online learning: neural network, data streams, balance scale, foggy road, magnifying glass, and chessboard.

Introduction: Online Learning is Like Driving in Fog! Imagine driving through a foggy road where new signs appear every few seconds, and you must react immediately. Online Learning works the…

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 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…

How to Evaluate Machine Learning Models: From Prediction to Clustering

August 10, 2023 Machine Learning, Model Evaluation

Visual comparison of machine learning evaluation metrics: regression vs. classification vs. clustering with examples like MSE, accuracy, and Silhouette Score.

Machine Learning (ML) is everywhere these days, from predicting house prices to diagnosing diseases! But when we build a model, how do we know if it’s actually performing well? This…