Sample: 1

ID: X00016469670

Recall: 93.69%

Precision: 93.69%

Hmean: 93.69%

Sample: 2

ID: X00016469671

Recall: 85.11%

Precision: 85.11%

Hmean: 85.11%

Sample: 3

ID: X51005200931

Recall: 84.67%

Precision: 75.60%

Hmean: 79.87%

Sample: 4

ID: X51005230605

Recall: 90.00%

Precision: 89.01%

Hmean: 89.50%

Sample: 5

ID: X51005230616

Recall: 95.45%

Precision: 94.74%

Hmean: 95.09%

Sample: 6

ID: X51005230621

Recall: 60.91%

Precision: 55.83%

Hmean: 58.26%

Sample: 7

ID: X51005230648

Recall: 82.41%

Precision: 81.65%

Hmean: 82.03%

Sample: 8

ID: X51005230657

Recall: 89.78%

Precision: 87.86%

Hmean: 88.81%

Sample: 9

ID: X51005230659

Recall: 80.25%

Precision: 80.25%

Hmean: 80.25%

Sample: 10

ID: X51005268275

Recall: 89.10%

Precision: 91.26%

Hmean: 90.17%

Sample: 11

ID: X51005268408

Recall: 85.29%

Precision: 85.29%

Hmean: 85.29%

Sample: 12

ID: X51005288570

Recall: 79.31%

Precision: 74.19%

Hmean: 76.67%

Sample: 13

ID: X51005301666

Recall: 91.90%

Precision: 93.69%

Hmean: 92.79%

Sample: 14

ID: X51005337867

Recall: 85.71%

Precision: 85.71%

Hmean: 85.71%

Sample: 15

ID: X51005337877

Recall: 94.17%

Precision: 96.04%

Hmean: 95.10%

Sample: 16

ID: X51005361906

Recall: 78.34%

Precision: 75.00%

Hmean: 76.64%

Sample: 17

ID: X51005361908

Recall: 61.54%

Precision: 63.16%

Hmean: 62.34%

Sample: 18

ID: X51005361912

Recall: 83.05%

Precision: 80.99%

Hmean: 82.01%

Sample: 19

ID: X51005361923

Recall: 78.67%

Precision: 77.63%

Hmean: 78.15%

Sample: 20

ID: X51005365187

Recall: 85.63%

Precision: 81.25%

Hmean: 83.38%