Table 2.

Average precision, AUC, and maximal cohen’s kappa percentiles at different iterations with two sampling/adaptation alternatives. The random sampling approach outperforms the sequential sampling one on all three metrics on each listed iteration.

		Average precision (percentile)			AUC (percentile)			Maximal Cohen’s kappa (percentile)
Sampling approach	Iteration	50%	25%	75%	50%	25%	75%	50%	25%	75%
No Fine Tuning	0	0.855	0.715	0.913	0.965	0.948	0.971	0.742	0.646	0.796
Random sampling	5	0.906	0.820	0.948	0.973	0.960	0.981	0.798	0.753	0.873
	10	0.930	0.875	0.969	0.984	0.975	0.991	0.838	0.798	0.898
	20	0.962	0.931	0.981	0.989	0.984	0.993	0.888	0.865	0.925
Sequential sampling	5	0.400	0.280	0.720	0.788	0.638	0.890	0.380	0.236	0.561
	10	0.575	0.408	0.782	0.835	0.731	0.908	0.482	0.251	0.637
	20	0.640	0.408	0.801	0.862	0.771	0.930	0.548	0.354	0.678