Method

Actual

Predicted

Negative

Positive

Decision Tree

Negative

50.40%

2.40%

Positive

7.20%

40%

SVC

Negative

26.13%

26.67%

Positive

8%

39.20%

Random Forest

Negative

49.60%

3.20%

Positive

8.27%

38.93%

Multinomial

Naïve Bayes

Negative

1.33%

51.47%

Positive

0.80%

46.40%

LSTM (LR = 0.001)

Negative

50.40%

2.40%

Positive

1.60%

45.60%

BiLSTM (LR = 0.001)

Negative

50.40%

2,40%

Positive

1.87%

45.33%

GRU (LR = 0.001)

Negative

51.20%

1.60%

Positive

1.60%

45.60%

BiGRU (LR = 0.001)

Negative

50.93%

1.87%

Positive

1.60%

45.60%

CNN-LSTM (LR = 0.001)

Negative

50.93%

1.87%

Positive

1.33%

45.87%

Attention-LSTM (LR = 0.01)

Negative

51.20%

1.60%

Positive

1.33%

45.87%