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Table 7 Results summary comparing model-based (LASSO) and model-free (RF) prediction on testing data

From: Modeling and prediction of pressure injury in hospitalized patients using artificial intelligence

Metrics Logistics regression Random forest
Design Using the entire data Without Braden metrics Using the entire data Without Braden metrics
Balance Without balancing With balancing Without balancing With balancing Without balancing With balancing Without balancing With balancing
Accuracy 0.9567 0.86 0.953 0.84 0.985 0.99 0.957 0.994
Kappa 0.3871 0.69 0.302 0.642 0.813 0.979 0.2496 0.987
Sensitivity 0.677 0.767 0.6129 0.72 0.72 1 0.163 1
Specificity 0.963 0.912 0.959 0.9 0.998 0.9855 0.996 0.99
Pos pred val 0.289 0.823 0.217 0.8 0.95 0.973 0.677 0.98
Neg pred val 0.992 0.88 0.993 0.35 0.986 1 0.959 1
Balanced accuracy 0.82 0.83 0.788 0.813 0.859 0.993 0.579 0.996
F1 score 0.40 0.79 0.32 0.76 0.82 0.99 0.26 0.99