Scikit Learn

Our findings largely align with those of the DELFI-Pro authors regarding the predictive utility of the proteins studied. While CA125 and HE4 concentrations are individually valuable biomarkers, their predictive power increases when combined within a machine learning model. We extended the analysis beyond that of the DELFI-Pro publication to specifically evaluate and thoroughly report the performance of these two proteins independently of any cfDNA-associated features.

The prevalence of cell phones has impacted professional and domestic lives. Millions of apps related to beauty, medical care, surveillance, fitness, education, entertainment, and so on are available to aid in different aspects of daily life. Figure 1A shows that there are over 2.67 million apps accessible on the Play Store, a platform for Android OS from Google, (Statista, 2023a) as of March 2023.

Presenting MAPIE, a scikit-learn-compatible package that allows you to easily estimate uncertainties associated with your favourite ML model Photo by Damian Siodłak on Unsplash After 25 years of success stories, modern machine learning (ML) is still at odds with the notion of uncertainty. Confidence intervals are not trendy and almost inexistent from top open-source libraries dedicated to machine learning.