Sample: 1

ID: X00016469670

Recall: 97.87%

Precision: 97.06%

Hmean: 97.46%

Sample: 2

ID: X00016469671

Recall: 95.12%

Precision: 90.63%

Hmean: 92.82%

Sample: 3

ID: X51005200931

Recall: 69.14%

Precision: 78.85%

Hmean: 73.67%

Sample: 4

ID: X51005230605

Recall: 81.82%

Precision: 88.57%

Hmean: 85.06%

Sample: 5

ID: X51005230616

Recall: 91.30%

Precision: 91.30%

Hmean: 91.30%

Sample: 6

ID: X51005230621

Recall: 92.59%

Precision: 95.83%

Hmean: 94.19%

Sample: 7

ID: X51005230648

Recall: 86.67%

Precision: 100.00%

Hmean: 92.86%

Sample: 8

ID: X51005230657

Recall: 78.95%

Precision: 100.00%

Hmean: 88.24%

Sample: 9

ID: X51005230659

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 10

ID: X51005268275

Recall: 65.84%

Precision: 76.62%

Hmean: 70.83%

Sample: 11

ID: X51005268408

Recall: 92.11%

Precision: 96.97%

Hmean: 94.47%

Sample: 12

ID: X51005288570

Recall: 94.12%

Precision: 94.12%

Hmean: 94.12%

Sample: 13

ID: X51005301666

Recall: 63.60%

Precision: 75.32%

Hmean: 68.96%

Sample: 14

ID: X51005337867

Recall: 85.25%

Precision: 93.75%

Hmean: 89.30%

Sample: 15

ID: X51005337877

Recall: 98.11%

Precision: 100.00%

Hmean: 99.05%

Sample: 16

ID: X51005361906

Recall: 92.59%

Precision: 100.00%

Hmean: 96.15%

Sample: 17

ID: X51005361908

Recall: 86.89%

Precision: 93.75%

Hmean: 90.19%

Sample: 18

ID: X51005361912

Recall: 85.48%

Precision: 97.96%

Hmean: 91.30%

Sample: 19

ID: X51005361923

Recall: 93.94%

Precision: 100.00%

Hmean: 96.88%

Sample: 20

ID: X51005365187

Recall: 95.28%

Precision: 95.35%

Hmean: 95.32%