Sample: 1

ID: X00016469670

Recall: 49.79%

Precision: 44.07%

Hmean: 46.75%

Sample: 2

ID: X00016469671

Recall: 20.49%

Precision: 22.00%

Hmean: 21.22%

Sample: 3

ID: X51005200931

Recall: 56.79%

Precision: 59.88%

Hmean: 58.30%

Sample: 4

ID: X51005230605

Recall: 23.64%

Precision: 26.40%

Hmean: 24.94%

Sample: 5

ID: X51005230616

Recall: 34.35%

Precision: 28.28%

Hmean: 31.02%

Sample: 6

ID: X51005230621

Recall: 76.67%

Precision: 78.35%

Hmean: 77.50%

Sample: 7

ID: X51005230648

Recall: 80.89%

Precision: 78.13%

Hmean: 79.49%

Sample: 8

ID: X51005230657

Recall: 69.47%

Precision: 62.39%

Hmean: 65.74%

Sample: 9

ID: X51005230659

Recall: 62.22%

Precision: 51.95%

Hmean: 56.62%

Sample: 10

ID: X51005268275

Recall: 51.69%

Precision: 42.12%

Hmean: 46.41%

Sample: 11

ID: X51005268408

Recall: 52.11%

Precision: 36.73%

Hmean: 43.09%

Sample: 12

ID: X51005288570

Recall: 78.82%

Precision: 69.88%

Hmean: 74.08%

Sample: 13

ID: X51005301666

Recall: 44.94%

Precision: 31.92%

Hmean: 37.33%

Sample: 14

ID: X51005337867

Recall: 70.82%

Precision: 74.92%

Hmean: 72.81%

Sample: 15

ID: X51005337877

Recall: 72.08%

Precision: 68.29%

Hmean: 70.13%

Sample: 16

ID: X51005361906

Recall: 69.63%

Precision: 71.65%

Hmean: 70.63%

Sample: 17

ID: X51005361908

Recall: 69.51%

Precision: 63.85%

Hmean: 66.56%

Sample: 18

ID: X51005361912

Recall: 70.97%

Precision: 70.55%

Hmean: 70.76%

Sample: 19

ID: X51005361923

Recall: 56.36%

Precision: 42.31%

Hmean: 48.33%

Sample: 20

ID: X51005365187

Recall: 73.77%

Precision: 80.30%

Hmean: 76.90%