Part 3/8:
The results of this significant study have been published in the Monthly Notices of the Royal Astronomical Society, showcasing what is described as the first large-scale comparison of planetary validation techniques. While previous attempts at machine learning had seen applications in ranking potential candidates, they failed to establish the probability of a candidate being a true planet, instead offering mere likelihoods.