I have a numerical feature called $x$ and a categorical feature called $y$. $y$ is an ordinal feature (A,B,C,D,E,F). I am using label encoding for my y feature and when I am seeing the correlation using matrix heatmap it shows that my $x$ feature has 0.95 correlation with $y$. I am using logistic regression algorithm. Should I drop one of them?