It does not really go like that. The higher the dimension (actually VC dimension, but polynomial dimension is a similar concept) the more points you would theor

It does not really go like that. The higher the dimension (actually VC dimension, but polynomial dimension is a similar concept) the more points you would theoretically need to guarantee that the classifier is not overfitting (ie, representing the noise in the data set).