Classification of products
I have one problem to solve. I have where each row corresponds to a single product. There are a total of 93 numerical features, which represent counts of different events. There are nine categories for all products. My objective is to classify product into 9 different categories. There are 61878 examples. I tried libSVM, k-NN in rapidminer, but i got very high accuracy,about 99,9 so something isn't done well. Does anybody know how to solve this?