Sample: 1

ID: X00016469670

Recall: 96.40%

Precision: 95.54%

Hmean: 95.96%

Sample: 2

ID: X00016469671

Recall: 93.62%

Precision: 95.65%

Hmean: 94.62%

Sample: 3

ID: X51005200931

Recall: 86.00%

Precision: 78.18%

Hmean: 81.90%

Sample: 4

ID: X51005230605

Recall: 91.11%

Precision: 94.25%

Hmean: 92.66%

Sample: 5

ID: X51005230616

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 6

ID: X51005230621

Recall: 80.00%

Precision: 77.19%

Hmean: 78.57%

Sample: 7

ID: X51005230648

Recall: 89.81%

Precision: 90.65%

Hmean: 90.23%

Sample: 8

ID: X51005230657

Recall: 94.16%

Precision: 94.85%

Hmean: 94.51%

Sample: 9

ID: X51005230659

Recall: 93.83%

Precision: 97.44%

Hmean: 95.60%

Sample: 10

ID: X51005268275

Recall: 91.00%

Precision: 94.58%

Hmean: 92.75%

Sample: 11

ID: X51005268408

Recall: 97.06%

Precision: 97.06%

Hmean: 97.06%

Sample: 12

ID: X51005288570

Recall: 91.38%

Precision: 91.38%

Hmean: 91.38%

Sample: 13

ID: X51005301666

Recall: 90.95%

Precision: 94.55%

Hmean: 92.72%

Sample: 14

ID: X51005337867

Recall: 95.80%

Precision: 95.80%

Hmean: 95.80%

Sample: 15

ID: X51005337877

Recall: 96.12%

Precision: 98.02%

Hmean: 97.06%

Sample: 16

ID: X51005361906

Recall: 94.27%

Precision: 96.10%

Hmean: 95.18%

Sample: 17

ID: X51005361908

Recall: 93.16%

Precision: 95.61%

Hmean: 94.37%

Sample: 18

ID: X51005361912

Recall: 96.61%

Precision: 97.44%

Hmean: 97.02%

Sample: 19

ID: X51005361923

Recall: 97.33%

Precision: 93.59%

Hmean: 95.42%

Sample: 20

ID: X51005365187

Recall: 94.01%

Precision: 94.58%

Hmean: 94.29%