Effect of a few wrongly scaled feature values on logistic regression model
In my opinion, the model will still be valid because even if the range of the predictor variable is high in the case of Logistic Regression, the algorithm itself will improvise itself by reducing the value of the &quot;coefficient&quot; corresponding to this variable.
You can read more about this here and here
Dhanyawad.