Sample: 1

ID: X00016469670

Recall: 90.99%

Precision: 88.60%

Hmean: 89.78%

Sample: 2

ID: X00016469671

Recall: 93.62%

Precision: 91.67%

Hmean: 92.63%

Sample: 3

ID: X51005200931

Recall: 86.67%

Precision: 78.79%

Hmean: 82.54%

Sample: 4

ID: X51005230605

Recall: 95.56%

Precision: 95.56%

Hmean: 95.56%

Sample: 5

ID: X51005230616

Recall: 97.73%

Precision: 96.27%

Hmean: 96.99%

Sample: 6

ID: X51005230621

Recall: 81.82%

Precision: 78.95%

Hmean: 80.36%

Sample: 7

ID: X51005230648

Recall: 91.67%

Precision: 90.83%

Hmean: 91.24%

Sample: 8

ID: X51005230657

Recall: 89.78%

Precision: 92.48%

Hmean: 91.11%

Sample: 9

ID: X51005230659

Recall: 95.06%

Precision: 98.72%

Hmean: 96.86%

Sample: 10

ID: X51005268275

Recall: 92.42%

Precision: 95.59%

Hmean: 93.98%

Sample: 11

ID: X51005268408

Recall: 92.16%

Precision: 92.16%

Hmean: 92.16%

Sample: 12

ID: X51005288570

Recall: 94.83%

Precision: 94.83%

Hmean: 94.83%

Sample: 13

ID: X51005301666

Recall: 95.24%

Precision: 98.04%

Hmean: 96.62%

Sample: 14

ID: X51005337867

Recall: 93.28%

Precision: 90.98%

Hmean: 92.12%

Sample: 15

ID: X51005337877

Recall: 98.06%

Precision: 99.02%

Hmean: 98.54%

Sample: 16

ID: X51005361906

Recall: 94.27%

Precision: 97.37%

Hmean: 95.79%

Sample: 17

ID: X51005361908

Recall: 84.62%

Precision: 93.40%

Hmean: 88.79%

Sample: 18

ID: X51005361912

Recall: 92.37%

Precision: 97.32%

Hmean: 94.78%

Sample: 19

ID: X51005361923

Recall: 92.00%

Precision: 92.00%

Hmean: 92.00%

Sample: 20

ID: X51005365187

Recall: 92.81%

Precision: 90.64%

Hmean: 91.72%