Algorithms

Accuracy

Sensitivity Recall-TPR

Precision TPR-PPV

Specificity TNR

F-measure (F-score)

Balanced Accuracy

MCC

Lexicon-based Approach

0.707

0.829

0.796

0.362

0.812

0.596

0.161

Logistic Regression

0.782

0.989

0.783

0.759

0.874

0,874

0.608

Naïve Bayes

0.784

0.986

0.786

0.740

0.874

0.863

0.589

Decision Tree

0.770

0.976

0.779

0.573

0.866

0.775

0.394

Multilayer Perceptron

0.778

0.970

0.796

0.676

0.875

0.823

0.521

SVM Networks

0.781

0.980

0.786

0.684

0.872

0.832

0.524

Random Forest

0.780

0.925

0.865

0.563

0.865

0.744

0.401

XGBoost

0.770

0.907

0.812

0.521

0.857

0.714

0.353

Convolutional Neural Network (CNN)

0.772

0.921

0.808

0.535

0.861

0.728

0.366

Recurrent Neural Network (RNN)

0.792

0.983

0.793

0.760

0.878

0.872

0.617