Artificial intelligence (AI) model fitting by supervised learning suggests that larger training datasets tend to produce more accurate predictions. This can be demonstrated by evaluating the final tuned model on a labeled test dataset. However, it is not clear what the minimum number of records is for training such models and whether larger training datasets will produce significantly better results.
Training Models for Machine-Enabled Systematic Literature Reviews: Do Large Datasets Always Give Better Results?