Riya Upadhyayriyaupadhyay.hashnode.dev·Dec 24, 2024A Visual Guide to the Differences Between Classification and RegressionIntroduction Machine learning can seem complex, but at its core, most problems fall into two main categories: classification and regression. Think of classification as sorting items into distinct boxes, while regression is like plotting points on a r...Machine Learning
Anshuman Sinhaanshumansinha3301.hashnode.dev·Dec 19, 2024Regression in Artificial IntelligenceRegression in AI refers to a type of predictive modeling technique used in machine learning and statistics to model the relationship between a dependent variable and one or more independent variables. The goal of regression is to predict continuous v...Artificial Intelligence
Rahul Kumardata-science-notes.hashnode.dev·Dec 15, 2024Performance Metrics For Regression Task1. Mean Squared Error (MSE) Explanation Mean Squared Error (MSE) measures the average squared difference between estimated and actual values. It gives higher weight to larger errors due to squaring. Mathematical Formula MSE = (1/n) * ∑[(y_i - ŷ_i)^2]...Data Science
Japkeerat Singhjapkeeratsingh.com·Dec 14, 2024Is the Model making right predictions? - Part 4 of 5 on Evaluation of Machine Learning ModelsWhen it comes to evaluating regression-based machine learning models, picking the right metric is like picking the right seasoning for your dish—the wrong choice could leave a bitter taste. We have already previously covered the metrics which you can...Machine LearningR2 metric
Audrey HansellforAudomadic Regression for Bike Sharesaudomadic-regression-predicting-bike-shares.hashnode.dev·Dec 4, 2024Audomadic Regression for Bike SharesWritten by Audrey Hansell and Maddy Brown, DIS Machine Learning Fall 2024 Introduction Bike sharing systems have become increasingly common in cities across the US and all over the world. Bike sharing has helped reduce traffic congestion, encouraged ...2 likes·38 readsBike Sharing
Yash Chaudhariyash-chaudharis-blog.hashnode.dev·Nov 11, 2024Error Metrics in Regression and ClassificationHi there, in this post, I will discuss the metrics that are used to evaluate how accurate machine learning models are. I hope that helps. You can use this page as a cheat sheet. At its core, what we all do when deriving a machine learning model is ma...#MSE
Steve Worthamstevewortham.hashnode.dev·Nov 5, 2024Visual Regression Testing Using PlaywrightAmid the fast-moving process of delivering software, the time spent on reviewing web pages manually is progressively reducing. In order to maintain the speed of modern development, we require tools that help keep our designs and layouts preserved and...#Regression
Anix Lynchgozeroshot.dev·Nov 5, 2024Part 1: 11 Basic Machine Learning Techniques with Math Notation Friendly Explained1. Linear Regression Linear Regression is one of the simplest techniques for predicting a continuous outcome by modeling the relationship between an independent variable and a dependent variable with a straight line. Key Concept:The goal of linear re...#Regression
Steve Worthamstevewortham.hashnode.dev·Oct 30, 2024Test Cases Prioritization For Regression Testing [Methods & Best Practices]One of the most critical software development and maintenance aspects is regression testing. To avoid unwanted changes, a set of test cases is run whenever software is modified, and the new outputs are compared to the older ones. If the new and old o...Testing
Deepak Kumar Mohantykumarblog-1.hashnode.dev·Oct 26, 2024Understanding Error Metrics in Regression: MSE, MAE, and RMSEWhen building predictive models, especially in regression tasks, evaluating their performance is crucial. This is where error metrics come into play. In this blog post, we will explore three common error metrics: Mean Squared Error (MSE), Mean Absolu...root mean square error
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