Aravind Satheesh·Apr 12R-Squared Explained: The Most Intuitive Metric in RegressionIf you’ve ever worked with regression models, you’ve probably come across R-squared (R²).
Yogeswari Lakshmiraman·Apr 5Machine Learning Series (Part 22) — How Good Is Your Model?Imagine a group of kids playing uri adithal, a traditional game played during Pongal celebration in South India. In this game, the player…
Kavengik·Jan 2Prediction Error Plot: Prediction Versus RealityA prediction error plot in machine learning is akin to the ‘what you ordered versus what you received’ analogy. The ‘what you ordered’…
Silpa·Dec 11, 2025R-Squared (R²) Explained: How To Interpret The Goodness Of Fit In Regression ModelsWhen you train a regression model, you usually want to answer a simple question:
Alok·Jul 28, 2025R-squared and Adjusted R-squared in Machine LearningIn regression-based machine learning, performance evaluation isn’t just about fitting a line through data points. It’s about knowing how…
haya mohammed·Jun 19, 2025R-squared vs Adjusted R-squared in Linear Regression — What’s the Real Difference?When I first started exploring linear regression, I thought R-squared was the golden metric. The higher, the better — right? But after a…
Michal Mikulasi·Apr 7, 2025What is Adjusted R-squared?When you build a regression model, one of the first questions you might ask is:
Michal Mikulasi·Mar 23, 2025What is R-squared in machine learning?When building regression models, one of the key questions we ask is: How well does our model explain the data? This is where R-squared (R²)…
Hang Nguyen·Feb 11, 2025Machine Learning 101 P7: How to choose and evaluate Regression modelsIntroduction
