I'm trying to classify 3000+ documents based on hand coding of a sample of these documents (approximately 160). I sampled these documents through sampling code in R. These documents will be classified into two categories coded as dummy variables 0 or 1.
I was studying supervised learning and one part I was confused about was whether the test set documents need to be classified prior to running analysis.
I have classifiers for 160 documents but I don't for the test set which is approximately 2840.
Since I don't have prior classifiers I won't be able to evaluate the classification (since I won't be able to derive false negatives false positives, etc.), but I was wondering if this is acceptable.
Again to rephrase, I'm trying to classify documents in the test set using the algorithm derived through hand-coded classifiers in the training set.