Diagramme des résidus


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Residuals Plot

 The residuals plot in linear regression is used to determine whether the residuals (observed values-predicted values) are uncorrelated (independent) by analyzing the variance of errors in a regression model.

The residuals plot is created by plotting the residuals against the predictions. If there is any kind of pattern between predictions and residuals, it confirms that the fitted regression model is not perfect. If the points are randomly dispersed around the x-axis, the regression model is fitted well with the data.


Source : towardsdatascience



Contributeurs: Patrick Drouin, wiki