Sample: 1

ID: X00016469670

Recall: 78.72%

Precision: 80.00%

Hmean: 79.36%

Sample: 2

ID: X00016469671

Recall: 46.34%

Precision: 45.24%

Hmean: 45.78%

Sample: 3

ID: X51005200931

Recall: 70.37%

Precision: 68.67%

Hmean: 69.51%

Sample: 4

ID: X51005230605

Recall: 58.64%

Precision: 59.11%

Hmean: 58.87%

Sample: 5

ID: X51005230616

Recall: 80.43%

Precision: 77.08%

Hmean: 78.72%

Sample: 6

ID: X51005230621

Recall: 90.74%

Precision: 92.45%

Hmean: 91.59%

Sample: 7

ID: X51005230648

Recall: 95.56%

Precision: 95.24%

Hmean: 95.40%

Sample: 8

ID: X51005230657

Recall: 100.00%

Precision: 98.08%

Hmean: 99.03%

Sample: 9

ID: X51005230659

Recall: 97.22%

Precision: 97.14%

Hmean: 97.18%

Sample: 10

ID: X51005268275

Recall: 84.94%

Precision: 96.46%

Hmean: 90.33%

Sample: 11

ID: X51005268408

Recall: 97.37%

Precision: 97.37%

Hmean: 97.37%

Sample: 12

ID: X51005288570

Recall: 99.41%

Precision: 98.86%

Hmean: 99.13%

Sample: 13

ID: X51005301666

Recall: 84.04%

Precision: 95.70%

Hmean: 89.49%

Sample: 14

ID: X51005337867

Recall: 85.25%

Precision: 90.20%

Hmean: 87.65%

Sample: 15

ID: X51005337877

Recall: 98.11%

Precision: 98.04%

Hmean: 98.08%

Sample: 16

ID: X51005361906

Recall: 86.42%

Precision: 100.00%

Hmean: 92.72%

Sample: 17

ID: X51005361908

Recall: 89.84%

Precision: 97.36%

Hmean: 93.45%

Sample: 18

ID: X51005361912

Recall: 91.94%

Precision: 96.61%

Hmean: 94.21%

Sample: 19

ID: X51005361923

Recall: 100.00%

Precision: 94.29%

Hmean: 97.06%

Sample: 20

ID: X51005365187

Recall: 94.34%

Precision: 100.00%

Hmean: 97.09%