Table 6 The performance criteria of text classification models for each field.

From: A cross-institutional database of operational risk external loss events in Chinese banking sector 1986–2023

Method

Accuracy

Macro-P

Macro-R

Macro-F1

Weighted-P

Weighted-R

Weighted-F1

Mean

Std

Mean

Std

Mean

Std

Mean

Std

Mean

Std

Mean

Std

Mean

Std

Causal factor

KNN

0.730

0.047

0.696

0.260

0.536

0.064

0.542

0.090

0.721

0.082

0.730

0.047

0.703

0.052

LR

0.746

0.032

0.574

0.260

0.515

0.023

0.505

0.025

0.707

0.063

0.746

0.032

0.705

0.032

MNB

0.747

0.031

0.532

0.129

0.522

0.028

0.509

0.032

0.694

0.039

0.747

0.031

0.710

0.032

RF

0.768

0.033

0.634

0.050

0.574

0.034

0.571

0.032

0.743

0.035

0.768

0.033

0.746

0.035

SVM

0.778

0.019

0.664

0.255

0.556

0.022

0.550

0.038

0.749

0.061

0.777

0.019

0.743

0.020

MLP

0.784

0.025

0.723

0.217

0.577

0.033

0.580

0.054

0.768

0.058

0.784

0.025

0.756

0.029

Event type

KNN

0.713

0.046

0.722

0.062

0.494

0.077

0.533

0.088

0.710

0.049

0.713

0.046

0.687

0.049

LR

0.732

0.033

0.621

0.028

0.451

0.072

0.465

0.088

0.694

0.036

0.732

0.033

0.687

0.039

MNB

0.747

0.051

0.686

0.234

0.492

0.090

0.515

0.105

0.722

0.097

0.747

0.051

0.710

0.059

RF

0.755

0.037

0.733

0.064

0.553

0.050

0.591

0.044

0.755

0.038

0.755

0.037

0.740

0.037

SVM

0.755

0.028

0.727

0.242

0.482

0.059

0.501

0.071

0.740

0.072

0.755

0.028

0.716

0.029

MLP

0.766

0.034

0.764

0.163

0.519

0.063

0.547

0.058

0.762

0.046

0.766

0.034

0.734

0.038

Business line

KNN

0.724

0.024

0.673

0.201

0.517

0.036

0.549

0.063

0.716

0.049

0.724

0.024

0.698

0.022

LR

0.674

0.012

0.640

0.050

0.407

0.023

0.446

0.037

0.702

0.033

0.674

0.012

0.622

0.017

MNB

0.707

0.018

0.637

0.023

0.454

0.032

0.492

0.039

0.710

0.023

0.707

0.018

0.667

0.023

RF

0.708

0.033

0.626

0.102

0.527

0.040

0.552

0.044

0.691

0.022

0.708

0.033

0.688

0.031

SVM

0.717

0.014

0.624

0.058

0.479

0.028

0.516

0.035

0.711

0.038

0.717

0.014

0.682

0.016

MLP

0.728

0.051

0.678

0.208

0.501

0.069

0.531

0.071

0.725

0.053

0.728

0.051

0.698

0.056

  1. Notes. The maximum value of each criterion is bolded.