Dear all,
I have done a refined named entity recognition (NER), I have found coordinate, date, time,...however, the coordinate has a minor problem. NOW based on these labels I gave to each sentence a label (1-->obsedrvational sentences) mean that this sentence is related to observation, I want to know how can I proceed with prodigy to classify sentences or make annotation edit to provide more accurate training data, I already used my ml and dl method to classification, but for one class (1) the classication result after work it is not very good?
precision recall f1-score support
0 0.94 1.00 0.97 1555
1 0.80 0.20 0.32 120
accuracy 0.94 1675
macro avg 0.87 0.60 0.64 1675
weighted avg 0.93 0.94 0.92 1675
can you give me some hints regarding prodigy and also ML, do you think it is a good direction?