Machine learning (ML ... create an effective model and evaluate its performance, the available data is typically split into three separate sets: training, validation and test sets.

For instance, if you’ve taken all your training photos ... you’ll need a “validation set,” a second test set that puts the machine learning model into a final evaluation process.

Model discrimination was estimated using time-dependent area under the curve (tAUC), which was calculated using survival predictions from BMETS based on the initial training data set. The BMETS ...