Sample: 1

ID: X00016469670

Recall: 48.94%

Precision: 46.81%

Hmean: 47.85%

Sample: 2

ID: X00016469671

Recall: 29.27%

Precision: 26.67%

Hmean: 27.91%

Sample: 3

ID: X51005200931

Recall: 74.07%

Precision: 68.18%

Hmean: 71.01%

Sample: 4

ID: X51005230605

Recall: 22.73%

Precision: 20.41%

Hmean: 21.51%

Sample: 5

ID: X51005230616

Recall: 41.30%

Precision: 38.78%

Hmean: 40.00%

Sample: 6

ID: X51005230621

Recall: 75.93%

Precision: 69.49%

Hmean: 72.57%

Sample: 7

ID: X51005230648

Recall: 70.67%

Precision: 68.00%

Hmean: 69.31%

Sample: 8

ID: X51005230657

Recall: 83.86%

Precision: 83.46%

Hmean: 83.66%

Sample: 9

ID: X51005230659

Recall: 66.11%

Precision: 52.34%

Hmean: 58.43%

Sample: 10

ID: X51005268275

Recall: 89.44%

Precision: 81.20%

Hmean: 85.12%

Sample: 11

ID: X51005268408

Recall: 97.37%

Precision: 97.37%

Hmean: 97.37%

Sample: 12

ID: X51005288570

Recall: 95.29%

Precision: 93.33%

Hmean: 94.30%

Sample: 13

ID: X51005301666

Recall: 84.94%

Precision: 77.20%

Hmean: 80.89%

Sample: 14

ID: X51005337867

Recall: 87.87%

Precision: 81.54%

Hmean: 84.59%

Sample: 15

ID: X51005337877

Recall: 81.13%

Precision: 73.68%

Hmean: 77.23%

Sample: 16

ID: X51005361906

Recall: 96.05%

Precision: 95.85%

Hmean: 95.95%

Sample: 17

ID: X51005361908

Recall: 93.44%

Precision: 86.36%

Hmean: 89.76%

Sample: 18

ID: X51005361912

Recall: 90.00%

Precision: 89.69%

Hmean: 89.84%

Sample: 19

ID: X51005361923

Recall: 99.39%

Precision: 93.33%

Hmean: 96.27%

Sample: 20

ID: X51005365187

Recall: 93.40%

Precision: 92.45%

Hmean: 92.92%