Sample: 1

ID: X00016469670

Recall: 94.59%

Precision: 88.24%

Hmean: 91.30%

Sample: 2

ID: X00016469671

Recall: 93.62%

Precision: 93.62%

Hmean: 93.62%

Sample: 3

ID: X51005200931

Recall: 88.00%

Precision: 79.04%

Hmean: 83.28%

Sample: 4

ID: X51005230605

Recall: 93.33%

Precision: 87.50%

Hmean: 90.32%

Sample: 5

ID: X51005230616

Recall: 96.97%

Precision: 96.24%

Hmean: 96.60%

Sample: 6

ID: X51005230621

Recall: 79.09%

Precision: 75.00%

Hmean: 76.99%

Sample: 7

ID: X51005230648

Recall: 96.30%

Precision: 93.69%

Hmean: 94.98%

Sample: 8

ID: X51005230657

Recall: 94.89%

Precision: 95.59%

Hmean: 95.24%

Sample: 9

ID: X51005230659

Recall: 83.95%

Precision: 88.31%

Hmean: 86.08%

Sample: 10

ID: X51005268275

Recall: 92.42%

Precision: 95.59%

Hmean: 93.98%

Sample: 11

ID: X51005268408

Recall: 88.24%

Precision: 92.78%

Hmean: 90.45%

Sample: 12

ID: X51005288570

Recall: 93.10%

Precision: 94.74%

Hmean: 93.91%

Sample: 13

ID: X51005301666

Recall: 95.24%

Precision: 98.04%

Hmean: 96.62%

Sample: 14

ID: X51005337867

Recall: 94.12%

Precision: 94.92%

Hmean: 94.51%

Sample: 15

ID: X51005337877

Recall: 96.12%

Precision: 97.06%

Hmean: 96.59%

Sample: 16

ID: X51005361906

Recall: 94.90%

Precision: 95.51%

Hmean: 95.21%

Sample: 17

ID: X51005361908

Recall: 86.32%

Precision: 93.52%

Hmean: 89.78%

Sample: 18

ID: X51005361912

Recall: 90.68%

Precision: 97.27%

Hmean: 93.86%

Sample: 19

ID: X51005361923

Recall: 88.00%

Precision: 91.67%

Hmean: 89.80%

Sample: 20

ID: X51005365187

Recall: 90.42%

Precision: 89.88%

Hmean: 90.15%