I found that scaling in SVM (Support Vector Machine) problems really improve its performance... I have read this explanation:
"The main advantage of scaling is to avoid attributes in greater numeric ranges dominating those in smaller numeric ranges."
Unfortunately, this didn't help me ... Can somebody provide me a better explanation? Thank you in advance!