Sample: 1

ID: X00016469670

Recall: 27.93%

Precision: 75.61%

Hmean: 40.79%

Sample: 2

ID: X00016469671

Recall: 29.79%

Precision: 80.00%

Hmean: 43.41%

Sample: 3

ID: X51005200931

Recall: 18.67%

Precision: 50.91%

Hmean: 27.32%

Sample: 4

ID: X51005230605

Recall: 36.67%

Precision: 100.00%

Hmean: 53.66%

Sample: 5

ID: X51005230616

Recall: 26.52%

Precision: 74.47%

Hmean: 39.11%

Sample: 6

ID: X51005230621

Recall: 25.45%

Precision: 57.14%

Hmean: 35.22%

Sample: 7

ID: X51005230648

Recall: 18.52%

Precision: 58.82%

Hmean: 28.17%

Sample: 8

ID: X51005230657

Recall: 16.79%

Precision: 58.97%

Hmean: 26.14%

Sample: 9

ID: X51005230659

Recall: 32.10%

Precision: 89.66%

Hmean: 47.27%

Sample: 10

ID: X51005268275

Recall: 18.01%

Precision: 59.38%

Hmean: 27.64%

Sample: 11

ID: X51005268408

Recall: 13.73%

Precision: 50.00%

Hmean: 21.54%

Sample: 12

ID: X51005288570

Recall: 48.28%

Precision: 82.35%

Hmean: 60.87%

Sample: 13

ID: X51005301666

Recall: 18.57%

Precision: 60.94%

Hmean: 28.47%

Sample: 14

ID: X51005337867

Recall: 24.37%

Precision: 61.70%

Hmean: 34.94%

Sample: 15

ID: X51005337877

Recall: 35.92%

Precision: 80.43%

Hmean: 49.66%

Sample: 16

ID: X51005361906

Recall: 15.29%

Precision: 50.00%

Hmean: 23.41%

Sample: 17

ID: X51005361908

Recall: 16.24%

Precision: 44.19%

Hmean: 23.75%

Sample: 18

ID: X51005361912

Recall: 22.03%

Precision: 59.09%

Hmean: 32.10%

Sample: 19

ID: X51005361923

Recall: 33.33%

Precision: 89.29%

Hmean: 48.54%

Sample: 20

ID: X51005365187

Recall: 25.15%

Precision: 57.53%

Hmean: 35.00%