I'm using KNIME for first time and I have a problem with it.
I have an Excel data file. it has 3 columns (Included,sentences,classlabel). sentences column cintains a sentence in any row.
included column contains abstract or introduction value (where sentence appreared in an article) and classlabel column contains 5 category value.
I have to process this file and make a model with decision tree to predict classlabel in a suppervisod way.
So, I have used this nodes one after another: read file, string to document (to transform sentences to documentcells), bag of words creator, punctuation erasure, stop word filter, porter stemmer, case converter, tf, idf, icf, category to class, partitioning, decision tree learner, decision tree predictor and scorer nodes.
I changed the cofiguration settings of nodes times and times but the accuarcy is 0 in any situation.
Can anyone help me to find the problem?
another question: How can I use the 10 fold cross validation?in which order of nodes?