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. 2021 Feb 9;9:27840–27867. doi: 10.1109/ACCESS.2021.3058066

TABLE 22. The Performance of ML for Cross-Validation Result (Gossip Cop Dataset).

Feature extraction method ML Models Matrix Size Measure Performance Methods
Accuracy Precision Recall F1-score
Unigram DT 3000 74.5± 1.4 74.55± 1.41 74.54± 1.42 74.28± 1.33
Bi-Gram 74.68± 1.15 74.62± 1.18 74.69± 1.15 74.47± 1.19
Tri-Gram 74.73± 1.1 74.83± 1.23 74.68± 1.22 74.52± 1.12
Four-gram 74.94± 1.32 75.06± 1.24 74.96± 1.19 74.76± 1.21
Unigram KNN 3000 77.62± 1.35 77.82± 1.32 77.62± 1.35 77.37± 1.42
Bi-Gram 76.97± 1.26 77.21± 1.18 76.97± 1.26 76.68± 1.37
Tri-Gram 76.61± 1.29 77.14± 1.15 76.61± 1.29 76.15± 1.44
Four-gram 76.45± 1.3 76.99± 1.2 76.45± 1.3 75.99± 1.44
Unigram RF 3000 77.49± 1.18 77.54± 1.11 77.45± 1.19 77.34± 1.16
Bi-Gram 77.52± 1.13 77.55± 1.22 77.49± 1.15 77.33± 1.15
Tri-Gram 77.58± 1.23 77.52± 1.21 77.57± 1.15 77.39± 1.2
Four-gram 77.58± 1.21 77.66± 1.21 77.57± 1.28 77.41± 1.24
Unigram LR 3000 78.97± 1.21 79.17± 1.26 78.97± 1.21 78.74± 1.22
Bi-Gram 79.12± 1.19 79.27± 1.23 79.12± 1.19 78.92± 1.2
Tri-Gram 79.11± 1.21 79.12± 1.23 79.11± 1.21 78.97± 1.24
Four-gram 79.17± 1.22 79.32± 1.26 79.17± 1.22 79.01± 1.22
Unigram SVM 3000 79.65± 1.2 79.9± 1.24 79.65± 1.2 79.42± 1.21
Bi-Gram 79.54± 1.19 79.66± 1.21 79.54± 1.19 79.36± 1.2
Tri-Gram 79.44± 1.16 79.55± 1.18 79.44± 1.16 79.26± 1.18
Four-gram 79.53± 1.2 79.65± 1.23 79.53± 1.2 79.35± 1.22
Unigram NB 3000 79.1± 1.26 79.17± 1.26 79.1± 1.26 79.03± 1.26
Bi-Gram 78.97± 1.21 79.08± 1.27 78.97± 1.21 78.74± 1.22
Tri-Gram 78.98± 1.23 78.98± 1.24 78.98± 1.23 78.89± 1.24
Four-gram 78.95± 1.22 78.95± 1.24 78.95± 1.22 78.84± 1.23