Sample: 1

ID: X00016469670

Recall: 85.11%

Precision: 82.61%

Hmean: 83.84%

Sample: 2

ID: X00016469671

Recall: 65.85%

Precision: 65.00%

Hmean: 65.42%

Sample: 3

ID: X51005200931

Recall: 76.54%

Precision: 72.94%

Hmean: 74.70%

Sample: 4

ID: X51005230605

Recall: 65.00%

Precision: 68.78%

Hmean: 66.84%

Sample: 5

ID: X51005230616

Recall: 82.61%

Precision: 80.85%

Hmean: 81.72%

Sample: 6

ID: X51005230621

Recall: 92.59%

Precision: 94.23%

Hmean: 93.40%

Sample: 7

ID: X51005230648

Recall: 93.33%

Precision: 95.12%

Hmean: 94.22%

Sample: 8

ID: X51005230657

Recall: 97.89%

Precision: 99.22%

Hmean: 98.55%

Sample: 9

ID: X51005230659

Recall: 99.44%

Precision: 98.89%

Hmean: 99.17%

Sample: 10

ID: X51005268275

Recall: 63.60%

Precision: 69.29%

Hmean: 66.32%

Sample: 11

ID: X51005268408

Recall: 97.37%

Precision: 100.00%

Hmean: 98.67%

Sample: 12

ID: X51005288570

Recall: 99.41%

Precision: 98.86%

Hmean: 99.13%

Sample: 13

ID: X51005301666

Recall: 59.10%

Precision: 64.52%

Hmean: 61.69%

Sample: 14

ID: X51005337867

Recall: 88.52%

Precision: 95.92%

Hmean: 92.07%

Sample: 15

ID: X51005337877

Recall: 98.11%

Precision: 98.00%

Hmean: 98.06%

Sample: 16

ID: X51005361906

Recall: 90.12%

Precision: 97.26%

Hmean: 93.56%

Sample: 17

ID: X51005361908

Recall: 91.80%

Precision: 96.36%

Hmean: 94.03%

Sample: 18

ID: X51005361912

Recall: 90.32%

Precision: 100.00%

Hmean: 94.92%

Sample: 19

ID: X51005361923

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 20

ID: X51005365187

Recall: 70.57%

Precision: 77.71%

Hmean: 73.97%