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Table 6 Precision, recall, and F-measure results for labels and spans

From: An annotation and modeling schema for prescription regimens

Tag

# train

Balanced P & R

Precision Bias

Recall Bias

P

R

F

P

R

F

P

R

F

Dispense

46

1.000

0.333

0.500

1.000

0.364

0.222

1.000

0.333

0.500

Dispense_unit

73

0.857

0.316

0.462

1.000

0.348

0.211

1.000

0.316

0.480

Doseamount

221

0.900

0.614

0.730

1.000

0.275

0.159

1.000

0.500

0.667

Doseamount_unit

202

0.921

0.761

0.833

1.000

0.386

0.239

1.000

0.630

0.773

Doseform

533

0.975

0.826

0.895

1.000

0.769

0.625

0.981

0.736

0.841

Duration

205

1.000

0.754

0.860

1.000

0.659

0.492

1.000

0.590

0.742

Duration_unit

193

1.000

0.772

0.871

1.000

0.705

0.544

1.000

0.579

0.733

FREQ

1329

0.978

0.735

0.840

0.990

0.683

0.522

0.977

0.700

0.816

Indication

319

0.879

0.296

0.443

1.000

0.310

0.184

0.852

0.235

0.368

Instruction

4075

0.602

0.892

0.719

1.000

0.068

0.035

0.510

0.928

0.658

Medication

145

1.000

0.103

0.188

1.000

0.000

0.000

1.000

0.103

0.188

PRN

232

1.000

0.855

0.922

1.000

0.804

0.673

1.000

0.782

0.878

Refill

70

1.000

0.000

0.000

1.000

0.000

0.000

1.000

0.000

0.000

Route

591

0.947

0.423

0.584

1.000

0.408

0.256

0.884

0.363

0.515

Strength

33

1.000

0.000

0.000

1.000

0.000

0.000

1.000

0.000

0.000

Strength_unit

34

1.000

0.000

0.000

1.000

0.000

0.000

1.000

0.000

0.000

Sub_status

112

0.929

0.500

0.650

1.000

0.000

0.000

1.000

0.462

0.632

Take

774

0.952

0.855

0.901

0.993

0.726

0.573

0.962

0.761

0.850

Timing

1359

0.979

0.634

0.770

1.000

0.506

0.339

0.908

0.564

0.696

Overall

10,546

0.743

0.753

0.748

0.996

0.407

0.256

0.651

0.726

0.687

  1. For each tag, the highest performing f-measure is presented in boldface