Is it bad to have a lot of one class of Data [K-NN classifier]?
Just imagine it practically, If class A data is 90% and class B data is 10% ,then if you just randomly classify the label you prediction as class A then your accuracy will be 90%.
So biased data will lead your model to be biased over the class which has more data as it will give better predictions in your model.