Working of Naive Bayes Algorithm in Rapid Miner
This might be easy but since I am new to RapidMiner any help will be appreciated. I am working with predicting results of a dataset using rapidMiner. I saw some youtube videos which showed x% validation that divides data in training set and apply model. I got that part. Rapid miner requires me to set label in the dataset ? What is this label? It also has restriction that label cannot be numeric. I am working with student data to predict success rate. How should I set label? How should I select attributes that maps to success rate. I am stuck at the point where I need to give proper input to Naive Bayes which gives me result that makes sense.I dont understand the criterion of performance vector.