Sample: 1

ID: X00016469670

Recall: 78.72%

Precision: 78.26%

Hmean: 78.49%

Sample: 2

ID: X00016469671

Recall: 46.34%

Precision: 47.50%

Hmean: 46.91%

Sample: 3

ID: X51005200931

Recall: 65.19%

Precision: 64.58%

Hmean: 64.88%

Sample: 4

ID: X51005230605

Recall: 52.27%

Precision: 52.63%

Hmean: 52.45%

Sample: 5

ID: X51005230616

Recall: 82.61%

Precision: 82.61%

Hmean: 82.61%

Sample: 6

ID: X51005230621

Recall: 90.74%

Precision: 96.00%

Hmean: 93.30%

Sample: 7

ID: X51005230648

Recall: 95.56%

Precision: 95.24%

Hmean: 95.40%

Sample: 8

ID: X51005230657

Recall: 92.63%

Precision: 99.18%

Hmean: 95.80%

Sample: 9

ID: X51005230659

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 10

ID: X51005268275

Recall: 72.81%

Precision: 84.05%

Hmean: 78.03%

Sample: 11

ID: X51005268408

Recall: 94.74%

Precision: 100.00%

Hmean: 97.30%

Sample: 12

ID: X51005288570

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 13

ID: X51005301666

Recall: 72.81%

Precision: 84.05%

Hmean: 78.03%

Sample: 14

ID: X51005337867

Recall: 80.33%

Precision: 95.45%

Hmean: 87.24%

Sample: 15

ID: X51005337877

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 16

ID: X51005361906

Recall: 77.78%

Precision: 94.03%

Hmean: 85.14%

Sample: 17

ID: X51005361908

Recall: 88.52%

Precision: 96.43%

Hmean: 92.31%

Sample: 18

ID: X51005361912

Recall: 83.87%

Precision: 98.11%

Hmean: 90.43%

Sample: 19

ID: X51005361923

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 20

ID: X51005365187

Recall: 93.40%

Precision: 98.97%

Hmean: 96.10%