# Can one use non converged results from Logistic Regression?

I'm running Logistic Regression on a dataset for a classification problem.

I used the model on the dataset when it was normalized and I had no problem with it converging.

Now, I wanted to see the results without feature normalization and I am getting the warning:

ConvergenceWarning: lbfgs failed to converge. Increase the number of iterations.
"of iterations.", ConvergenceWarning)


I've tried increasing the number of iterations and I have upped it to 8000 so far and am still getting the error.

I wanted to ask, is this error is critical? Because, I'm still getting my cross validated results even after the error. What exactly is convergence?