Through a process of cross-validation on the training set, the following features were selected and hyperparameters tuned using grid search methodology for optimal area under the receiver operator ...

Finally, two additional external validation cohorts and one additional independent early-stage data set were included to evaluate the robustness of model. Our analysis used fragmentomic profiling, ...

Machine learning models are trained with huge amounts of data and must be tested before practical use. For this, the data must first be divided into a larger training set and a smaller test set ...

Thousands of images—including identifiable faces—were found in a small subset of DataComp CommonPool, a major AI training set for image generation scraped from the web.