Table 3 Performance of the CAD models based on the determined sample size for various fixed and adaptive sample size methods. Results are shown as medians (with interquartile ranges) across 500 repetitions

 Fixed^a: 10 EPP

300 (250–300)

11 (10–11)

0.706 (0.684–0.726)

0.774 (0.751–0.795)

 Fixed^a: Riley’s method

700 (700–700)

28 (27–28)

0.713 (0.701–0.726)

0.894 (0.886–0.901)

 Adaptive: stopping rule 1^b

850 (750–900)

33 (30–35)

0.717 (0.705–0.727)

0.909 (0.905–0.914)

 Adaptive: stopping rule 2^b

1500 (1400–1550)

59 (56–62)

0.719 (0.712–0.725)

0.949 (0.946–0.952)

 Fixed^a: 10 EPP

350 (350–400)

11 (10–11)

0.703 (0.684–0.721)

0.766 (0.745–0.783)

 Fixed^a: Riley’s method

900 (900–900)

26 (26–27)

0.712 (0701–0.724)

0.887 (0.877–0.894)

 Adaptive: stopping rule 1^b

1100 (1050–1200)

31 (28–33)

0.715 (0.705–0.724)

0.907 (0.904–0.911)

 Adaptive: stopping rule 2^b

1850 (1800–1900)

58 (55–60)

0.718 (0.712–0.724)

0.947 (0.945–0.949)

 Fixed^a: 10 EPP

300 (250–300)

11 (10–11)

0.706 (0.682–0.726)

0.822 (0.797–0.846)

 Fixed^a: Riley’s method

700 (700–700)

28 (27–28)

0.712 (0.700–0.726)

0.913 (0.904–0.923)

 Adaptive: stopping rule 1^b

750 (700–800)

31 (28–32)

0.713 (0.703–0.727)

0.922 (0.917–0.928)

 Adaptive: stopping rule 2^b

1500 (1450–1600)

59 (56–63)

0.718 (0.710–0.726)

0.958 (0.956–0.961)

 Fixed^a: 10 EPP

300 (250–300)

11 (10–11)

0.690 (0.666–0.715)

0.798 (0.772–0.819)

 Fixed^a: Riley’s method

700 (700–700)

28 (27–28)

0.708 (0.694–0.722)

0.894 (0.883–0.905)

 Adaptive: stopping rule 1^b

800 (750–900)

33 (29–36)

0.712 (0.701–0.723)

0.909 (0.905–0.915)

 Adaptive: stopping rule 2^b

1550 (1400–1650)

61 (56–65)

0.716 (0.709–0.724)

0.948 (0.946–0.951)