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Update 2-Regression/3-Linear/README.md

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Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
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2-Regression/3-Linear/README.md
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@ -213,7 +213,7 @@ To see how accurate our model is, we can predict prices on a test dataset, and t
pred = lin_reg.predict(X_test) pred = lin_reg.predict(X_test)
rmse = np.sqrt(mean_squared_error(y_test,pred)) rmse = np.sqrt(mean_squared_error(y_test,pred))
print(f'Mean error: {rmse:3.3} ({rmse/np.mean(pred)*100:3.3}%)') print(f'RMSE: {rmse:3.3} ({rmse/np.mean(pred)*100:3.3}%)')
``` ```
Our error seems to be around 2 points, which is ~17%. Not too good. Another indicator of model quality is the **coefficient of determination**, which can be obtained like this: Our error seems to be around 2 points, which is ~17%. Not too good. Another indicator of model quality is the **coefficient of determination**, which can be obtained like this:

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