Sample: 1

ID: X00016469670

Recall: 78.72%

Precision: 78.72%

Hmean: 78.72%

Sample: 2

ID: X00016469671

Recall: 50.73%

Precision: 51.43%

Hmean: 51.08%

Sample: 3

ID: X51005200931

Recall: 71.36%

Precision: 70.60%

Hmean: 70.98%

Sample: 4

ID: X51005230605

Recall: 65.91%

Precision: 67.44%

Hmean: 66.67%

Sample: 5

ID: X51005230616

Recall: 76.09%

Precision: 76.09%

Hmean: 76.09%

Sample: 6

ID: X51005230621

Recall: 92.59%

Precision: 92.31%

Hmean: 92.45%

Sample: 7

ID: X51005230648

Recall: 77.78%

Precision: 77.78%

Hmean: 77.78%

Sample: 8

ID: X51005230657

Recall: 92.98%

Precision: 92.86%

Hmean: 92.92%

Sample: 9

ID: X51005230659

Recall: 94.44%

Precision: 94.29%

Hmean: 94.37%

Sample: 10

ID: X51005268275

Recall: 90.34%

Precision: 88.37%

Hmean: 89.34%

Sample: 11

ID: X51005268408

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 12

ID: X51005288570

Recall: 100.00%

Precision: 100.00%

Hmean: 100.00%

Sample: 13

ID: X51005301666

Recall: 93.71%

Precision: 93.40%

Hmean: 93.55%

Sample: 14

ID: X51005337867

Recall: 89.84%

Precision: 87.67%

Hmean: 88.74%

Sample: 15

ID: X51005337877

Recall: 98.11%

Precision: 97.96%

Hmean: 98.04%

Sample: 16

ID: X51005361906

Recall: 97.53%

Precision: 97.53%

Hmean: 97.53%

Sample: 17

ID: X51005361908

Recall: 95.08%

Precision: 93.55%

Hmean: 94.31%

Sample: 18

ID: X51005361912

Recall: 96.77%

Precision: 96.77%

Hmean: 96.77%

Sample: 19

ID: X51005361923

Recall: 100.00%

Precision: 94.29%

Hmean: 97.06%

Sample: 20

ID: X51005365187

Recall: 99.06%

Precision: 99.03%

Hmean: 99.04%