Table 4 Detailed class-wise performance metrics compared to a stratified random baseline.

From: Multimodal machine learning for 5-year mortality prediction after percutaneous coronary intervention

Metric

Random Baseline

Our Model

Improvement (Lift)

Macro F1-score

0.497

0.649

+30.6%

Death class F1

0.126

0.385

3.0x (205%)

Death class precision

0.127

0.410

3.2x (222%)

Specificity

0.868

0.920

-

  1. The model demonstrates a 3-fold improvement in precision and F1-score for the minority (Death) class.