Sample: 1

ID: X00016469670

Recall: 85.59%

Precision: 86.36%

Hmean: 85.97%

Sample: 2

ID: X00016469671

Recall: 91.49%

Precision: 91.49%

Hmean: 91.49%

Sample: 3

ID: X51005200931

Recall: 78.67%

Precision: 71.52%

Hmean: 74.92%

Sample: 4

ID: X51005230605

Recall: 92.22%

Precision: 91.21%

Hmean: 91.71%

Sample: 5

ID: X51005230616

Recall: 95.45%

Precision: 94.03%

Hmean: 94.74%

Sample: 6

ID: X51005230621

Recall: 74.55%

Precision: 77.36%

Hmean: 75.93%

Sample: 7

ID: X51005230648

Recall: 75.00%

Precision: 82.65%

Hmean: 78.64%

Sample: 8

ID: X51005230657

Recall: 69.34%

Precision: 81.90%

Hmean: 75.10%

Sample: 9

ID: X51005230659

Recall: 76.54%

Precision: 82.67%

Hmean: 79.49%

Sample: 10

ID: X51005268275

Recall: 78.20%

Precision: 84.18%

Hmean: 81.08%

Sample: 11

ID: X51005268408

Recall: 73.53%

Precision: 71.43%

Hmean: 72.46%

Sample: 12

ID: X51005288570

Recall: 89.66%

Precision: 83.87%

Hmean: 86.67%

Sample: 13

ID: X51005301666

Recall: 80.95%

Precision: 86.73%

Hmean: 83.74%

Sample: 14

ID: X51005337867

Recall: 86.55%

Precision: 88.79%

Hmean: 87.66%

Sample: 15

ID: X51005337877

Recall: 82.52%

Precision: 88.54%

Hmean: 85.43%

Sample: 16

ID: X51005361906

Recall: 73.89%

Precision: 85.29%

Hmean: 79.18%

Sample: 17

ID: X51005361908

Recall: 77.78%

Precision: 86.67%

Hmean: 81.98%

Sample: 18

ID: X51005361912

Recall: 77.12%

Precision: 89.22%

Hmean: 82.73%

Sample: 19

ID: X51005361923

Recall: 73.33%

Precision: 70.51%

Hmean: 71.90%

Sample: 20

ID: X51005365187

Recall: 76.65%

Precision: 72.73%

Hmean: 74.64%