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Table 4 Performance of various question type classifiers

From: A conversational agent system for dietary supplements use

Model

Precision

Recall

F1

Accuracy (%)

Random Forest

0.603

0.556

0.540

55.60

SVM (with RBF Kernel)

0.629

0.629

0.620

62.90

SVM (with Linear Kernel)

0.647

0.649

0.640

64.90

Logistic Regression

0.656

0.649

0.64

64.90

BiGRU + Attention

0.737

0.728

0.729

72.85

LSTM

0.800

0.790

0.790

78.67

Bi-LSTM

0.800

0.790

0.790

79.41

CNN

0.810

0.800

0.810

80.79