Table 2 Performance comparison on a real-world breast cancer dataset

Softmax

Bi-LSTM

0.8171±0.0143

0.8796±0.0264

0.8472±0.0221

Bi-OnLSTM

0.8316±0.0205

0.8978±0.0139

0.8635±0.0152

TCN

0.7135±0.0129

0.8218±0.0231

0.7638±0.0245

GCNN

0.8817±0.0117

0.9016±0.0210

0.8921±0.0124

CRF

Bi-LSTM

0.8682±0.0125

0.8905±0.0238

0.8792±0.0201

Bi-OnLSTM

0.8678±0.0187

0.8952±0.0145

0.8813±0.0168

TCN

0.8486±0.0089

0.9076±0.0214

0.8771±0.0179

GCNN

0.9443±0.0126

0.9628±0.0181

0.9535±0.0094

PASCAL (Softmax + CRF)

Bi-LSTM

0.8931±0.0153

0.9121±0.0183

0.9025±0.0168

Bi-OnLSTM

0.9078±0.0149

0.9348±0.0156

0.9211±0.0175

TCN

0.8744±0.0102

0.9342±0.0192

0.9033±0.0149

GCNN

0.9413±0.0156

0.9770±0.0147

0.9589±0.0054