Sample: 1

ID: X00016469670

Recall: 87.23%

Precision: 86.96%

Hmean: 87.10%

Sample: 2

ID: X00016469671

Recall: 53.66%

Precision: 55.00%

Hmean: 54.32%

Sample: 3

ID: X51005200931

Recall: 67.90%

Precision: 63.22%

Hmean: 65.48%

Sample: 4

ID: X51005230605

Recall: 40.91%

Precision: 43.90%

Hmean: 42.35%

Sample: 5

ID: X51005230616

Recall: 71.74%

Precision: 70.21%

Hmean: 70.97%

Sample: 6

ID: X51005230621

Recall: 92.59%

Precision: 98.04%

Hmean: 95.24%

Sample: 7

ID: X51005230648

Recall: 93.33%

Precision: 97.62%

Hmean: 95.43%

Sample: 8

ID: X51005230657

Recall: 92.63%

Precision: 99.17%

Hmean: 95.79%

Sample: 9

ID: X51005230659

Recall: 97.22%

Precision: 100.00%

Hmean: 98.59%

Sample: 10

ID: X51005268275

Recall: 80.45%

Precision: 87.86%

Hmean: 83.99%

Sample: 11

ID: X51005268408

Recall: 94.74%

Precision: 94.74%

Hmean: 94.74%

Sample: 12

ID: X51005288570

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 13

ID: X51005301666

Recall: 79.55%

Precision: 87.14%

Hmean: 83.17%

Sample: 14

ID: X51005337867

Recall: 90.16%

Precision: 96.30%

Hmean: 93.13%

Sample: 15

ID: X51005337877

Recall: 94.34%

Precision: 100.00%

Hmean: 97.09%

Sample: 16

ID: X51005361906

Recall: 91.36%

Precision: 96.10%

Hmean: 93.67%

Sample: 17

ID: X51005361908

Recall: 80.33%

Precision: 87.50%

Hmean: 83.76%

Sample: 18

ID: X51005361912

Recall: 85.16%

Precision: 95.71%

Hmean: 90.13%

Sample: 19

ID: X51005361923

Recall: 96.97%

Precision: 100.00%

Hmean: 98.46%

Sample: 20

ID: X51005365187

Recall: 98.11%

Precision: 100.00%

Hmean: 99.05%