Skip to main content
. 2021 Jun 11;21:186. doi: 10.1186/s12911-021-01553-3

Fig. 9.

Fig. 9

Training method for the recommender system. We train two different models based on the whole data set (Model 1) and a dataset consisting only of positive outcomes (Model 2). After that, we use both models to make different predictions. If there is a matching in the predictions, then Prediction 1 is used as the standard with high confidence; otherwise, predictions from Model 2 are provided but have low confidence

OSZAR »