Sample: 1

ID: X00016469670

Recall: 87.39%

Precision: 88.18%

Hmean: 87.78%

Sample: 2

ID: X00016469671

Recall: 84.04%

Precision: 85.87%

Hmean: 84.95%

Sample: 3

ID: X51005200931

Recall: 84.00%

Precision: 76.36%

Hmean: 80.00%

Sample: 4

ID: X51005230605

Recall: 90.00%

Precision: 89.01%

Hmean: 89.50%

Sample: 5

ID: X51005230616

Recall: 88.64%

Precision: 87.97%

Hmean: 88.30%

Sample: 6

ID: X51005230621

Recall: 77.27%

Precision: 73.91%

Hmean: 75.56%

Sample: 7

ID: X51005230648

Recall: 94.44%

Precision: 91.89%

Hmean: 93.15%

Sample: 8

ID: X51005230657

Recall: 89.78%

Precision: 89.78%

Hmean: 89.78%

Sample: 9

ID: X51005230659

Recall: 85.19%

Precision: 83.13%

Hmean: 84.15%

Sample: 10

ID: X51005268275

Recall: 87.68%

Precision: 90.24%

Hmean: 88.94%

Sample: 11

ID: X51005268408

Recall: 81.37%

Precision: 83.84%

Hmean: 82.59%

Sample: 12

ID: X51005288570

Recall: 87.93%

Precision: 86.44%

Hmean: 87.18%

Sample: 13

ID: X51005301666

Recall: 91.43%

Precision: 93.20%

Hmean: 92.31%

Sample: 14

ID: X51005337867

Recall: 88.24%

Precision: 88.98%

Hmean: 88.61%

Sample: 15

ID: X51005337877

Recall: 92.23%

Precision: 93.14%

Hmean: 92.68%

Sample: 16

ID: X51005361906

Recall: 91.08%

Precision: 90.51%

Hmean: 90.79%

Sample: 17

ID: X51005361908

Recall: 92.31%

Precision: 95.58%

Hmean: 93.91%

Sample: 18

ID: X51005361912

Recall: 96.61%

Precision: 97.44%

Hmean: 97.02%

Sample: 19

ID: X51005361923

Recall: 74.67%

Precision: 76.71%

Hmean: 75.68%

Sample: 20

ID: X51005365187

Recall: 93.41%

Precision: 93.41%

Hmean: 93.41%