Table 2.

All algorithms used to test for postoperative length of stay following patellar tendon repair and their outcomes. AUC-ROC was identified as the most important measurement, with a criteria of >0.7 signifying a functional algorithm.

	AUC of Receiver Operating Characteristic	Accuracy	Precision	Recall	F-1 score
Random Forest	0.72	77.66 %	0.79	0.96	0.85
MPClassifier	0.69	78.39 %	0.79	0.96	0.87
Artificial Neural Network	0.68	75.82 %	0.78	0.95	0.85
Gradient Boosting	0.67	77.29 %	0.79	0.94	0.86
Support Vector Machine	0.65	74.73 %	0.75	1.00	0.85
ASA Based Logistic Regression	0.65	74.73 %	0.75	1.00	0.85