Table 6 Simulation results for MIH-BIH Heart dataset.

From: A deep learning approach for heart disease detection using a modified multiclass attention mechanism with BiLSTM

Model

CNN

MLP-NN

DNN-Taylos

Deep BiLSTM

Naive Bayes

Proposed multiclass model

Accuracy (%)

88.36

83.64

78.64

91.60

70.17

98.82

Precision (%)

90.10

91.95

84.27

94.10

81.50

97.20

Recall (%)

91.35

90.27

82.58

93.12

79.75

98.34

F-measure (%)

90.22

90.17

83.90

93.60

78.00

98.92

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