Performance result: Training vs Test
Dear all,
I am new to rapidMiner and I wanted to perform NBC on airline dataset. I have a airline dataset with labelled data of sentiment (pos, neg, and netural). I had divided the dataset 75/25 data split and perform the text processing (i.e. nominal to text, data to document, preprocess document with tokenization, stopwords). However, when the result out in word from preprocess document operator, I found the neg,pos and netural data columns have all zero value. Then, after I implemented the NBC, I receive accuracy of 87% for training but 0.00% accuracy for the test dataset.
Can you please kindly help me to understand what I am missing here?
Thanks a lot in advance!
I am new to rapidMiner and I wanted to perform NBC on airline dataset. I have a airline dataset with labelled data of sentiment (pos, neg, and netural). I had divided the dataset 75/25 data split and perform the text processing (i.e. nominal to text, data to document, preprocess document with tokenization, stopwords). However, when the result out in word from preprocess document operator, I found the neg,pos and netural data columns have all zero value. Then, after I implemented the NBC, I receive accuracy of 87% for training but 0.00% accuracy for the test dataset.
Can you please kindly help me to understand what I am missing here?
Thanks a lot in advance!