Table 7.

Performance of different ML training models for predicting the five years disease-free survival (DFS).

Algorithms	Evaluation Metrics (Average (± sd))
	Accuracy	Precision	Recall	F-Measure
Random Forest	0.84 (± 0.12)	0.82 (± 0.14)	0.83 (± 0.12)	0.81 (± 0.14)
Support Vector Machines	0.77 (± 0.03)	0.74 (± 0.07)	0.77 (± 0.03)	0.71 (± 0.05)
Logistic Regression	0.76 (± 0.02)	0.73 (± 0.04)	0.76 (± 0.02)	0.71 (± 0.02)
Multilayer Perceptron	0.78 (± 0.11)	0.77 (± 0.10)	0.77 (± 0.11)	0.77 (± 0.12)
K-Nearest Neighbor	0.75 (± 0.06)	0.72 (± 0.08)	0.75 (± 0.06)	0.71 (± 0.02)
Adaptive Boosting	0.77 (± 0.03)	0.75 (± 0.04)	0.77 (± 0.03)	0.74 (± 0.03)