Sample: 1

ID: X00016469670

Recall: 69.37%

Precision: 70.64%

Hmean: 70.00%

Sample: 2

ID: X00016469671

Recall: 68.09%

Precision: 71.11%

Hmean: 69.57%

Sample: 3

ID: X51005200931

Recall: 63.33%

Precision: 62.09%

Hmean: 62.71%

Sample: 4

ID: X51005230605

Recall: 74.44%

Precision: 72.83%

Hmean: 73.63%

Sample: 5

ID: X51005230616

Recall: 64.39%

Precision: 66.41%

Hmean: 65.38%

Sample: 6

ID: X51005230621

Recall: 59.09%

Precision: 59.63%

Hmean: 59.36%

Sample: 7

ID: X51005230648

Recall: 64.81%

Precision: 67.31%

Hmean: 66.04%

Sample: 8

ID: X51005230657

Recall: 62.04%

Precision: 67.46%

Hmean: 64.64%

Sample: 9

ID: X51005230659

Recall: 70.37%

Precision: 77.03%

Hmean: 73.55%

Sample: 10

ID: X51005268275

Recall: 61.61%

Precision: 66.33%

Hmean: 63.88%

Sample: 11

ID: X51005268408

Recall: 61.76%

Precision: 62.38%

Hmean: 62.07%

Sample: 12

ID: X51005288570

Recall: 79.31%

Precision: 75.41%

Hmean: 77.31%

Sample: 13

ID: X51005301666

Recall: 61.43%

Precision: 67.54%

Hmean: 64.34%

Sample: 14

ID: X51005337867

Recall: 80.67%

Precision: 82.05%

Hmean: 81.36%

Sample: 15

ID: X51005337877

Recall: 82.52%

Precision: 85.00%

Hmean: 83.74%

Sample: 16

ID: X51005361906

Recall: 80.89%

Precision: 85.23%

Hmean: 83.01%

Sample: 17

ID: X51005361908

Recall: 76.92%

Precision: 77.59%

Hmean: 77.25%

Sample: 18

ID: X51005361912

Recall: 85.59%

Precision: 90.18%

Hmean: 87.83%

Sample: 19

ID: X51005361923

Recall: 64.00%

Precision: 67.61%

Hmean: 65.75%

Sample: 20

ID: X51005365187

Recall: 73.65%

Precision: 76.40%

Hmean: 75.00%