what is the classification error why is the class error lower when i don't learn at all why is the classification error lower when you don't do any learning which classifier is used for supervised learning is classification error better when to use classifier why is classifying error lower when i don't do any learning? can i do any learning on a training data set which is higher classification error or supervised learning? why supervised learning is better than classification error when you don't do any learning on a dataset you get better recognition rate what makes classification error higher? which is higher for a class or class if you don't do any learning on a data set, how do i get the best recognition rate when should i classify a data set why is a class error lower? is it a better idea if you don't do any learning or do a classifier why is my classification error lower when i don't do any learning on the dataset? when you classify a data set in supervised learning what is the difference between this what is the higher learning class in a data set