Sample: 1

ID: X00016469670

Recall: 92.79%

Precision: 91.96%

Hmean: 92.38%

Sample: 2

ID: X00016469671

Recall: 91.49%

Precision: 86.87%

Hmean: 89.12%

Sample: 3

ID: X51005200931

Recall: 71.33%

Precision: 71.33%

Hmean: 71.33%

Sample: 4

ID: X51005230605

Recall: 95.56%

Precision: 91.49%

Hmean: 93.48%

Sample: 5

ID: X51005230616

Recall: 98.48%

Precision: 97.01%

Hmean: 97.74%

Sample: 6

ID: X51005230621

Recall: 50.91%

Precision: 56.57%

Hmean: 53.59%

Sample: 7

ID: X51005230648

Recall: 90.74%

Precision: 87.50%

Hmean: 89.09%

Sample: 8

ID: X51005230657

Recall: 91.24%

Precision: 90.58%

Hmean: 90.91%

Sample: 9

ID: X51005230659

Recall: 81.48%

Precision: 71.74%

Hmean: 76.30%

Sample: 10

ID: X51005268275

Recall: 81.52%

Precision: 81.52%

Hmean: 81.52%

Sample: 11

ID: X51005268408

Recall: 71.57%

Precision: 72.28%

Hmean: 71.92%

Sample: 12

ID: X51005288570

Recall: 75.86%

Precision: 61.97%

Hmean: 68.22%

Sample: 13

ID: X51005301666

Recall: 82.86%

Precision: 82.46%

Hmean: 82.66%

Sample: 14

ID: X51005337867

Recall: 86.55%

Precision: 87.29%

Hmean: 86.92%

Sample: 15

ID: X51005337877

Recall: 95.15%

Precision: 94.23%

Hmean: 94.69%

Sample: 16

ID: X51005361906

Recall: 50.96%

Precision: 63.49%

Hmean: 56.54%

Sample: 17

ID: X51005361908

Recall: 31.62%

Precision: 33.64%

Hmean: 32.60%

Sample: 18

ID: X51005361912

Recall: 66.95%

Precision: 71.82%

Hmean: 69.30%

Sample: 19

ID: X51005361923

Recall: 54.67%

Precision: 47.13%

Hmean: 50.62%

Sample: 20

ID: X51005365187

Recall: 83.83%

Precision: 77.35%

Hmean: 80.46%