# My Linear Regression Model Mean Absolute Error(MAE) is 0.29 and R2 0.20 , Is this a acceptable Model?

My Linear Regression Model Mean Absolute Error(MAE) is 0.29 and R2 0.20 , Is this a acceptable Model ?

How can increase the r2 score ?

• Only you can decide that, is a MAE of 0.29 acceptable to you? Commented May 26, 2022 at 6:56
• is this model is good or bad ? Commented May 26, 2022 at 7:02
• Impossible to fully answer this question without context regarding the problem you are trying to solve. Even if you use R square and MAE by itself, these numbers can vary by subject matter. Commented May 26, 2022 at 14:29

Under the usual conditions (that you probably satisfy), $$R^2$$ can be interpreted as the proportion of variance in $$y$$ explained by your model. This means that your model explains $$20\%$$ of the variance in $$y$$.
Mean absolute error is the mean amount by which your model predictions miss the observed values. This means that, on average, your model misses by $$0.29$$.
It’s up to you to put those numbers in context. These metrics aren’t equivalent to grades in school where being over $$R^2=0.90$$ is an $$A$$-grade and scoring $$R^2=0.2$$ is an $$F$$-grade. There are situations where the low $$R^2$$ (or high MAE) could be fantastic for your task, and there are situations where the high $$R^2$$ (or low MAE) could indicate rather pedestrian performance.
• I have addressed your first question about deciding if your performance metrics indicate an acceptable model. Your second question about increasing the $R^2$ score is equivalent to asking how to do machine learning, statistical modeling, and predictive analytics, so that question is much too broad for this Stack or any other.