Prediction Error

Regression Evaluation Metrics in Machine Learning: How to Choose and Smartly Combine Them

October 2, 2023 Machine Learning, Model Evaluation

Diagram comparing evaluation metrics for supervised and unsupervised machine learning models, such as MSE, MAE, Accuracy, Precision, Recall, F1-Score, Silhouette Score, and Explained Variance.

Regression in machine learning is used to predict continuous values like house prices, tomorrow’s temperature, or someone’s income. But once you’ve built your model, how do you know how accurate…

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…