Fig. 4.

Comparison of molecular subtyping and machine learning models in survival prediction. a–d PFS stratified by the predicted 5-year PFS based on: a the molecular type, b the molecular subtype, c the Support Vector Machine (SVM), d the SVM predictions with a probability score below 0.3 or above 0.7. e–h Confusion matrices and balanced accuracy for the predicted 5-year PFS based on: e the molecular type, f the molecular subtype, g the SVM, h the SVM predictions with a probability score below 0.3 or above 0.7. i–l PFS stratified by the predicted 5-year PFS from the integrated models based on: i clinical data and copy number alterations, j the SVM, k the combined logistic regression model, l the predictions from the combined model with a probability score below 0.3 or above 0.7. m–p Confusion matrices and balanced accuracy for the predicted 5-year PFS from the integrated models based on: m clinical data and copy number alterations, n the SVM, o the combined logistic regression model, p the predictions from the combined model with a probability score below 0.3 or above 0.7. NED, no evidence of disease/progression