R² and Adjusted R² Explained Clearly | Regression Performance Metrics (Part 1) скачать в хорошем качестве

R² and Adjusted R² Explained Clearly | Regression Performance Metrics (Part 1)

In this video, we deeply explain R Squared (R²) and Adjusted R Squared, two of the most important regression performance metrics in machine learning and statistics. You’ll understand: • What R² actually measures • Why R² always increases when adding features • Why Adjusted R² was introduced • Difference between R² and Adjusted R² • Role of SSE, SSR, and SST • When to use R² vs Adjusted R² in real projects This is Part 2 of the Performance Metrics in Regression series and is ideal for: Beginners in Machine Learning, Data Science, Statistics, and Interview preparation. 📌 Watch Part 1 for MAE, MSE, RMSE explanation 📌 Part of full Linear Regression & ML Fundamentals Playlist r squared, adjusted r squared, r2 explained, adjusted r2 explained, r squared vs adjusted r squared, regression performance metrics, linear regression metrics, machine learning regression metrics, sse ssr sst, statistics for data science, regression analysis explained, ml metrics explained, data science fundamentals, r2 score intuition, adjusted r2 intuition, regression model evaluation, regression metrics interview questions, machine learning beginners #RSquared #AdjustedRSquared #RegressionMetrics #MachineLearning #DataScience #LinearRegression #Statistics #MLBeginners #PerformanceMetrics #DataAnalytics #AdjustedRSquared #RegressionMetrics #MachineLearning #DataScience #LinearRegression #Statistics #MLBeginners #PerformanceMetrics #DataAnalytics