the space of f(xi) after transformation   -: the original input space can always be mapped to some higher-dimensional feature space where the training set is separable:
the space of f(xi) after transformation   -: the original input space can always be mapped to some higher-dimensional feature space where the training set is separable:
refers to the n-dimensional space where your variables live, collection of features related to some properties of the class labels.