Sample: 1

ID: X00016469670

Recall: 85.11%

Precision: 84.78%

Hmean: 84.94%

Sample: 2

ID: X00016469671

Recall: 56.10%

Precision: 56.10%

Hmean: 56.10%

Sample: 3

ID: X51005200931

Recall: 74.07%

Precision: 73.17%

Hmean: 73.62%

Sample: 4

ID: X51005230605

Recall: 65.91%

Precision: 67.50%

Hmean: 66.70%

Sample: 5

ID: X51005230616

Recall: 82.61%

Precision: 80.85%

Hmean: 81.72%

Sample: 6

ID: X51005230621

Recall: 98.15%

Precision: 98.11%

Hmean: 98.13%

Sample: 7

ID: X51005230648

Recall: 97.78%

Precision: 100.00%

Hmean: 98.88%

Sample: 8

ID: X51005230657

Recall: 96.49%

Precision: 98.00%

Hmean: 97.24%

Sample: 9

ID: X51005230659

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 10

ID: X51005268275

Recall: 83.82%

Precision: 87.42%

Hmean: 85.58%

Sample: 11

ID: X51005268408

Recall: 94.21%

Precision: 96.22%

Hmean: 95.20%

Sample: 12

ID: X51005288570

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 13

ID: X51005301666

Recall: 88.54%

Precision: 92.41%

Hmean: 90.44%

Sample: 14

ID: X51005337867

Recall: 98.36%

Precision: 96.61%

Hmean: 97.48%

Sample: 15

ID: X51005337877

Recall: 94.34%

Precision: 100.00%

Hmean: 97.09%

Sample: 16

ID: X51005361906

Recall: 97.53%

Precision: 97.53%

Hmean: 97.53%

Sample: 17

ID: X51005361908

Recall: 98.36%

Precision: 92.31%

Hmean: 95.24%

Sample: 18

ID: X51005361912

Recall: 91.94%

Precision: 91.80%

Hmean: 91.87%

Sample: 19

ID: X51005361923

Recall: 96.97%

Precision: 96.97%

Hmean: 96.97%

Sample: 20

ID: X51005365187

Recall: 98.11%

Precision: 98.08%

Hmean: 98.10%