This repository provides an overview of performance metrics used for evaluating regression models. It covers two main types of metrics: R-squared: A measure of the general linear relationship between ...

1) Mean Absolute Error(MAE) MAE is a very simple metric which calculates the absolute difference between actual and predicted values. To better understand, let’s take an example you have input data ...

Linear regression is a common technique in artificial intelligence (AI) that allows you to model the relationship between a dependent variable and one or more independent variables. However, how ...

A revolutionary area of artificial intelligence called machine learning enables computers to learn from data and forecast without the need for explicit programming. A key component of predictive ...

Performance metrics – Linear Regression 7. Performance metrics – Logistic Regression . 1. Terminologies related to regression analysis. ... In a linear equation, prediction errors can be decomposed ...

xkcd #2048 is exceptionally relevant to this. Doing linear regression well with a big dataset is difficult! I do this all the time at work and honestly I often show a scatter plot without any ...