Sample: 1

ID: X00016469670

Recall: 91.89%

Precision: 88.70%

Hmean: 90.27%

Sample: 2

ID: X00016469671

Recall: 93.62%

Precision: 91.67%

Hmean: 92.63%

Sample: 3

ID: X51005200931

Recall: 64.67%

Precision: 70.29%

Hmean: 67.36%

Sample: 4

ID: X51005230605

Recall: 95.56%

Precision: 96.63%

Hmean: 96.09%

Sample: 5

ID: X51005230616

Recall: 97.73%

Precision: 96.99%

Hmean: 97.36%

Sample: 6

ID: X51005230621

Recall: 58.18%

Precision: 65.31%

Hmean: 61.54%

Sample: 7

ID: X51005230648

Recall: 89.81%

Precision: 85.84%

Hmean: 87.78%

Sample: 8

ID: X51005230657

Recall: 91.97%

Precision: 90.65%

Hmean: 91.30%

Sample: 9

ID: X51005230659

Recall: 60.49%

Precision: 52.69%

Hmean: 56.32%

Sample: 10

ID: X51005268275

Recall: 62.56%

Precision: 77.65%

Hmean: 69.29%

Sample: 11

ID: X51005268408

Recall: 70.59%

Precision: 69.23%

Hmean: 69.90%

Sample: 12

ID: X51005288570

Recall: 75.86%

Precision: 61.11%

Hmean: 67.69%

Sample: 13

ID: X51005301666

Recall: 62.86%

Precision: 77.65%

Hmean: 69.47%

Sample: 14

ID: X51005337867

Recall: 81.51%

Precision: 86.61%

Hmean: 83.98%

Sample: 15

ID: X51005337877

Recall: 93.20%

Precision: 94.12%

Hmean: 93.66%

Sample: 16

ID: X51005361906

Recall: 48.41%

Precision: 74.51%

Hmean: 58.69%

Sample: 17

ID: X51005361908

Recall: 35.90%

Precision: 31.58%

Hmean: 33.60%

Sample: 18

ID: X51005361912

Recall: 70.34%

Precision: 70.94%

Hmean: 70.64%

Sample: 19

ID: X51005361923

Recall: 61.33%

Precision: 49.46%

Hmean: 54.76%

Sample: 20

ID: X51005365187

Recall: 80.24%

Precision: 72.43%

Hmean: 76.14%