R-squared for Regression Analysis
Linear Models DS practice problem on Onlearn.
Difficulty: easy.
Topics: R-squared for Regression Analysis, Coefficient of Determination, Residual Sum of Squares, Total Sum of Squares, Explained Variance, Ordinary Least Squares, Statistical Inference, Linear Algebra, Optimization Theory, Supervised Learning, Model Evaluation, Regression Analysis, Vector Spaces, Loss Function Minimization, Performance Metrics, Variance Decomposition.
Task: Compute the R squared Value in Regression Analysis R squared, also known as the coefficient of determination, is a measure that indicates how well the independent variables explain the variability of the dependent variable in a regression model. Your Task : To implement the function r squared(y true, y pred) that calculates the R squared value, given arrays of true values y true and predicted values y pred.