Sample: 1

ID: X00016469670

Recall: 85.59%

Precision: 78.51%

Hmean: 81.90%

Sample: 2

ID: X00016469671

Recall: 80.85%

Precision: 82.61%

Hmean: 81.72%

Sample: 3

ID: X51005200931

Recall: 68.00%

Precision: 69.39%

Hmean: 68.69%

Sample: 4

ID: X51005230605

Recall: 93.33%

Precision: 93.33%

Hmean: 93.33%

Sample: 5

ID: X51005230616

Recall: 87.88%

Precision: 86.57%

Hmean: 87.22%

Sample: 6

ID: X51005230621

Recall: 69.09%

Precision: 63.87%

Hmean: 66.38%

Sample: 7

ID: X51005230648

Recall: 85.19%

Precision: 83.64%

Hmean: 84.40%

Sample: 8

ID: X51005230657

Recall: 85.40%

Precision: 87.31%

Hmean: 86.35%

Sample: 9

ID: X51005230659

Recall: 81.48%

Precision: 85.71%

Hmean: 83.54%

Sample: 10

ID: X51005268275

Recall: 67.30%

Precision: 73.20%

Hmean: 70.12%

Sample: 11

ID: X51005268408

Recall: 57.84%

Precision: 57.84%

Hmean: 57.84%

Sample: 12

ID: X51005288570

Recall: 87.93%

Precision: 87.93%

Hmean: 87.93%

Sample: 13

ID: X51005301666

Recall: 68.57%

Precision: 74.23%

Hmean: 71.29%

Sample: 14

ID: X51005337867

Recall: 63.87%

Precision: 62.81%

Hmean: 63.33%

Sample: 15

ID: X51005337877

Recall: 94.17%

Precision: 91.51%

Hmean: 92.82%

Sample: 16

ID: X51005361906

Recall: 60.51%

Precision: 66.43%

Hmean: 63.33%

Sample: 17

ID: X51005361908

Recall: 33.33%

Precision: 58.21%

Hmean: 42.39%

Sample: 18

ID: X51005361912

Recall: 67.80%

Precision: 75.47%

Hmean: 71.43%

Sample: 19

ID: X51005361923

Recall: 80.00%

Precision: 80.00%

Hmean: 80.00%

Sample: 20

ID: X51005365187

Recall: 80.84%

Precision: 79.41%

Hmean: 80.12%