Sample: 1

ID: X00016469670

Recall: 93.69%

Precision: 92.04%

Hmean: 92.86%

Sample: 2

ID: X00016469671

Recall: 88.30%

Precision: 88.30%

Hmean: 88.30%

Sample: 3

ID: X51005200931

Recall: 82.67%

Precision: 73.81%

Hmean: 77.99%

Sample: 4

ID: X51005230605

Recall: 90.00%

Precision: 87.10%

Hmean: 88.52%

Sample: 5

ID: X51005230616

Recall: 90.91%

Precision: 89.55%

Hmean: 90.23%

Sample: 6

ID: X51005230621

Recall: 76.36%

Precision: 73.68%

Hmean: 75.00%

Sample: 7

ID: X51005230648

Recall: 84.26%

Precision: 83.49%

Hmean: 83.87%

Sample: 8

ID: X51005230657

Recall: 87.59%

Precision: 87.59%

Hmean: 87.59%

Sample: 9

ID: X51005230659

Recall: 81.48%

Precision: 81.48%

Hmean: 81.48%

Sample: 10

ID: X51005268275

Recall: 88.63%

Precision: 90.34%

Hmean: 89.47%

Sample: 11

ID: X51005268408

Recall: 85.29%

Precision: 87.00%

Hmean: 86.14%

Sample: 12

ID: X51005288570

Recall: 81.03%

Precision: 74.60%

Hmean: 77.69%

Sample: 13

ID: X51005301666

Recall: 91.43%

Precision: 92.75%

Hmean: 92.09%

Sample: 14

ID: X51005337867

Recall: 79.83%

Precision: 80.51%

Hmean: 80.17%

Sample: 15

ID: X51005337877

Recall: 95.15%

Precision: 94.23%

Hmean: 94.69%

Sample: 16

ID: X51005361906

Recall: 89.17%

Precision: 93.96%

Hmean: 91.50%

Sample: 17

ID: X51005361908

Recall: 84.62%

Precision: 86.09%

Hmean: 85.34%

Sample: 18

ID: X51005361912

Recall: 94.07%

Precision: 94.87%

Hmean: 94.47%

Sample: 19

ID: X51005361923

Recall: 72.00%

Precision: 70.13%

Hmean: 71.05%

Sample: 20

ID: X51005365187

Recall: 89.82%

Precision: 89.29%

Hmean: 89.55%