Machine learning models trained on tabular data exhibit a 76% accuracy for the random forest model at predicting relapse evaluated with a 10-fold cross-validation (the model was trained 10 times with ...

The study, published in Nature last week, explains how the team built the foundation model, TabPFN, to learn causal relationships from synthetic data, which has been modeled on real scenarios ...