Sample: 1

ID: X00016469670

Recall: 85.59%

Precision: 82.61%

Hmean: 84.07%

Sample: 2

ID: X00016469671

Recall: 85.11%

Precision: 82.47%

Hmean: 83.77%

Sample: 3

ID: X51005200931

Recall: 79.33%

Precision: 69.19%

Hmean: 73.91%

Sample: 4

ID: X51005230605

Recall: 92.22%

Precision: 91.21%

Hmean: 91.71%

Sample: 5

ID: X51005230616

Recall: 93.18%

Precision: 92.48%

Hmean: 92.83%

Sample: 6

ID: X51005230621

Recall: 69.09%

Precision: 63.87%

Hmean: 66.38%

Sample: 7

ID: X51005230648

Recall: 85.19%

Precision: 80.00%

Hmean: 82.51%

Sample: 8

ID: X51005230657

Recall: 86.86%

Precision: 78.29%

Hmean: 82.35%

Sample: 9

ID: X51005230659

Recall: 88.89%

Precision: 90.00%

Hmean: 89.44%

Sample: 10

ID: X51005268275

Recall: 86.26%

Precision: 80.89%

Hmean: 83.49%

Sample: 11

ID: X51005268408

Recall: 80.39%

Precision: 75.93%

Hmean: 78.10%

Sample: 12

ID: X51005288570

Recall: 79.31%

Precision: 80.70%

Hmean: 80.00%

Sample: 13

ID: X51005301666

Recall: 89.05%

Precision: 82.74%

Hmean: 85.78%

Sample: 14

ID: X51005337867

Recall: 89.92%

Precision: 89.17%

Hmean: 89.54%

Sample: 15

ID: X51005337877

Recall: 94.17%

Precision: 95.10%

Hmean: 94.63%

Sample: 16

ID: X51005361906

Recall: 86.62%

Precision: 90.07%

Hmean: 88.31%

Sample: 17

ID: X51005361908

Recall: 82.91%

Precision: 90.65%

Hmean: 86.61%

Sample: 18

ID: X51005361912

Recall: 92.37%

Precision: 90.08%

Hmean: 91.21%

Sample: 19

ID: X51005361923

Recall: 74.67%

Precision: 65.12%

Hmean: 69.57%

Sample: 20

ID: X51005365187

Recall: 88.62%

Precision: 87.06%

Hmean: 87.83%