Figure 2

Classification performance as Matthews correlation coefficient (\(R_K\)) over female age intervals. The prediction models are matrix factorization (MF), hidden Markov model (HMM), geometric deep learning (GDL) gradient tree boosting (GTB), logistic regression (LR), and random forest (RF), combined with either the adapted or default probability threshold method from “Predicting the risk of cervical cancer development”.