Part 2/8:
The team designed a sophisticated machine learning algorithm, which they trained using data from NASA's Kepler Mission, analyzing both confirmed planets and how often false positives occurred. By utilizing this algorithm on a dataset featuring still unconfirmed planetary candidates from Kepler, the researchers successfully validated 50 new planets—these are the first to be confirmed through the lens of machine learning.