Let's say you uploaded 100 documents to your project and did the annotations and then you triggered training process.
Behind the scene Jasper engine will split the data into 2 parts. 90 of the uploaded documents will be used to train and build the model. 10 documents will be kept aside , once the model is build , Jasper will test the model against these 10 documents and compute the model performance metrics
Recall , Precision and F1 score is reported against how well the model performed against the 10 documents kept aside. Read More Build Your Model
🧙♂️ It's important to note that your model will not see or be trained on 10% of the total data you have uploaded to Jasper ,as the 10% is kept aside for validation
