As is human nature we always want to get a better prediction , if possible some would pray for a full 100%.
Anyways ignoring the Hypothetical, We have run a number of common models like
so now the question arises, whether we can give it a tad bit push for a better accuracy?
Well the answer is we still have one trick left , How? well Stacking
What in stacking?
well we will try stacking a Random forest on Logistic
and vice versa.
You can find the code for it here ->
If you see the code you see accuracy has not quite increased.
Well if you understood the above , then whats stopping you from trying to stack SVM on logistic or random forest.
Try it and let me know the results