Sample: 1

ID: X00016469670

Recall: 17.02%

Precision: 17.02%

Hmean: 17.02%

Sample: 2

ID: X00016469671

Recall: 9.76%

Precision: 9.76%

Hmean: 9.76%

Sample: 3

ID: X51005200931

Recall: 56.54%

Precision: 53.56%

Hmean: 55.01%

Sample: 4

ID: X51005230605

Recall: 11.36%

Precision: 11.36%

Hmean: 11.36%

Sample: 5

ID: X51005230616

Recall: 19.57%

Precision: 17.65%

Hmean: 18.56%

Sample: 6

ID: X51005230621

Recall: 79.63%

Precision: 78.18%

Hmean: 78.90%

Sample: 7

ID: X51005230648

Recall: 35.11%

Precision: 33.19%

Hmean: 34.12%

Sample: 8

ID: X51005230657

Recall: 48.77%

Precision: 47.41%

Hmean: 48.08%

Sample: 9

ID: X51005230659

Recall: 48.89%

Precision: 46.22%

Hmean: 47.52%

Sample: 10

ID: X51005268275

Recall: 87.42%

Precision: 80.45%

Hmean: 83.79%

Sample: 11

ID: X51005268408

Recall: 76.32%

Precision: 74.36%

Hmean: 75.32%

Sample: 12

ID: X51005288570

Recall: 69.41%

Precision: 57.27%

Hmean: 62.76%

Sample: 13

ID: X51005301666

Recall: 82.02%

Precision: 74.16%

Hmean: 77.89%

Sample: 14

ID: X51005337867

Recall: 96.72%

Precision: 91.80%

Hmean: 94.20%

Sample: 15

ID: X51005337877

Recall: 35.85%

Precision: 36.54%

Hmean: 36.19%

Sample: 16

ID: X51005361906

Recall: 93.83%

Precision: 90.79%

Hmean: 92.28%

Sample: 17

ID: X51005361908

Recall: 85.25%

Precision: 88.24%

Hmean: 86.71%

Sample: 18

ID: X51005361912

Recall: 78.71%

Precision: 78.73%

Hmean: 78.72%

Sample: 19

ID: X51005361923

Recall: 78.18%

Precision: 66.49%

Hmean: 71.86%

Sample: 20

ID: X51005365187

Recall: 92.45%

Precision: 93.14%

Hmean: 92.79%