How is it possible to get a high $R^²$ & still have 'poor predictions'?
1265
Is my model any good, based on the diagnostic metric ($R^2$/ AUC/ accuracy/ RMSE etc.) value?
71082
How to find a good fit for semi-sinusoidal model in R?
155420
Why does adding more terms into a linear model always increase the r-squared value?
146008
Why do we usually choose to minimize the sum of square errors (SSE) when fitting a model?
20153
What is the distribution of $R^2$ in linear regression under the null hypothesis? Why is its mode not at zero when $k>3$?
106004
Linear Regression makes impossible predictions
24013
Is a weighted $R^2$ in robust linear model meaningful for goodness of fit analysis?
57530
Predict() - Maybe I'm not understanding it
113833
How do I deal with NAs in residuals in a regression in R?
153095
When AIC and Adjusted $R^2$ lead to different conclusions
149884
How can the MSE of predictions be greater than the variance of the response variable?
143460
Non-normality in residuals
13616
Removal of statistically significant intercept term increases $R^2$ in linear model
90439
When does (Riemann) regularization work?
28449
Is it possible to get worse model after optimization?
151995
Why are effect size estimates (such as $R^2$) difficult in mixed-effects models?
115747
How can I calculate the R-squared of a regression with arima errors using R?