. Author manuscript; available in PMC: 2022 May 1.

Published in final edited form as: Surgery. 2020 Nov 5;169(5):1245–1249. doi: 10.1016/j.surg.2020.09.020

Table 1.

Performance accuracy when distinguishing experts vs. novices (Comparison 1).

Machine learning model	Performance accuracy comparison between varying datasets				p Value
Adaboost	ColumnSet	0.72747 ± 0.01641	RowSet	0.71218 ± 0.00863	p = 0.003
Adaboost	RowSet	0.71218 ± 0.00863	GlobalSet	0.69879 ± 0.01829	p < 0.001
Gradient Boosting	ColumnSet	0.72675 ± 0.01033	RowSet	0.72094 ± 0.00619	p = 0.13
Gradient Boosting	RowSet	0.72094 ± 0.00619	GlobalSet	0.67241± 0.00111	p < 0.001
Random Forest	ColumnSet	0.73274 ± 0.00528	RowSet	0.71592 ± 0.00300	p < 0.001
Random Forest	RowSet	0.71592 ± 0.00300	GlobalSet	0.72751 ± 0.00908	p < 0.001