This is a methodological paper introducing a new algorithm (Settling) for a machine-learning problem; it demonstrates proof-of-concept in a geometric diagnostic but explicitly states that learned high-dimensional validation remains an open empirical test, with no clinical or real-world validation data.
Hypothesis-GeneratingLyes Saad Saoud
Reported
Geometric diagnostic success rate…0/100
Geometric diagnostic success rate…100/100
Geometric diagnostic success rate…99/100