Sample: 1

ID: X00016469670

Recall: 91.49%

Precision: 89.19%

Hmean: 90.32%

Sample: 2

ID: X00016469671

Recall: 80.49%

Precision: 80.00%

Hmean: 80.24%

Sample: 3

ID: X51005200931

Recall: 53.09%

Precision: 67.86%

Hmean: 59.57%

Sample: 4

ID: X51005230605

Recall: 79.55%

Precision: 84.85%

Hmean: 82.11%

Sample: 5

ID: X51005230616

Recall: 91.30%

Precision: 91.30%

Hmean: 91.30%

Sample: 6

ID: X51005230621

Recall: 87.04%

Precision: 91.49%

Hmean: 89.21%

Sample: 7

ID: X51005230648

Recall: 82.22%

Precision: 96.97%

Hmean: 88.99%

Sample: 8

ID: X51005230657

Recall: 78.95%

Precision: 100.00%

Hmean: 88.24%

Sample: 9

ID: X51005230659

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 10

ID: X51005268275

Recall: 63.15%

Precision: 76.51%

Hmean: 69.19%

Sample: 11

ID: X51005268408

Recall: 78.95%

Precision: 96.43%

Hmean: 86.82%

Sample: 12

ID: X51005288570

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 13

ID: X51005301666

Recall: 64.49%

Precision: 75.56%

Hmean: 69.59%

Sample: 14

ID: X51005337867

Recall: 75.41%

Precision: 82.22%

Hmean: 78.67%

Sample: 15

ID: X51005337877

Recall: 92.45%

Precision: 95.65%

Hmean: 94.03%

Sample: 16

ID: X51005361906

Recall: 76.54%

Precision: 91.49%

Hmean: 83.35%

Sample: 17

ID: X51005361908

Recall: 45.90%

Precision: 78.26%

Hmean: 57.86%

Sample: 18

ID: X51005361912

Recall: 67.42%

Precision: 81.33%

Hmean: 73.73%

Sample: 19

ID: X51005361923

Recall: 87.88%

Precision: 92.59%

Hmean: 90.17%

Sample: 20

ID: X51005365187

Recall: 85.85%

Precision: 92.86%

Hmean: 89.22%