Sample: 1

ID: X00016469670

Recall: 57.02%

Precision: 54.92%

Hmean: 55.95%

Sample: 2

ID: X00016469671

Recall: 43.41%

Precision: 49.02%

Hmean: 46.05%

Sample: 3

ID: X51005200931

Recall: 60.25%

Precision: 61.94%

Hmean: 61.08%

Sample: 4

ID: X51005230605

Recall: 38.64%

Precision: 36.36%

Hmean: 37.47%

Sample: 5

ID: X51005230616

Recall: 53.48%

Precision: 48.21%

Hmean: 50.71%

Sample: 6

ID: X51005230621

Recall: 64.81%

Precision: 66.04%

Hmean: 65.42%

Sample: 7

ID: X51005230648

Recall: 73.33%

Precision: 73.81%

Hmean: 73.57%

Sample: 8

ID: X51005230657

Recall: 67.72%

Precision: 66.55%

Hmean: 67.13%

Sample: 9

ID: X51005230659

Recall: 88.89%

Precision: 88.57%

Hmean: 88.73%

Sample: 10

ID: X51005268275

Recall: 60.45%

Precision: 47.30%

Hmean: 53.08%

Sample: 11

ID: X51005268408

Recall: 35.26%

Precision: 20.91%

Hmean: 26.25%

Sample: 12

ID: X51005288570

Recall: 88.24%

Precision: 88.24%

Hmean: 88.24%

Sample: 13

ID: X51005301666

Recall: 58.43%

Precision: 45.91%

Hmean: 51.42%

Sample: 14

ID: X51005337867

Recall: 66.89%

Precision: 73.20%

Hmean: 69.90%

Sample: 15

ID: X51005337877

Recall: 81.13%

Precision: 83.33%

Hmean: 82.22%

Sample: 16

ID: X51005361906

Recall: 51.36%

Precision: 56.69%

Hmean: 53.89%

Sample: 17

ID: X51005361908

Recall: 62.95%

Precision: 66.32%

Hmean: 64.59%

Sample: 18

ID: X51005361912

Recall: 74.19%

Precision: 82.35%

Hmean: 78.06%

Sample: 19

ID: X51005361923

Recall: 75.76%

Precision: 91.67%

Hmean: 82.96%

Sample: 20

ID: X51005365187

Recall: 81.51%

Precision: 82.08%

Hmean: 81.80%