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

TABLE 12. The Performance of ML for Cross-Validation Results (Disasters Dataset).

Feature extraction method ML Models Matrix Size Measure Performance Methods
Accuracy Precision Recall F1-score
Unigram DT 3000 75.3± 1.26 75.58± 1.48 75.31± 1.39 74.83± 1.36
Bi-Gram 74.93± 1.31 75.1± 1.45 74.8± 1.39 74.32± 1.54
Tri-Gram 74.85± 1.42 74.98± 1.48 74.88± 1.44 74.24± 1.51
Four-gram 75.13± 1.36 75.39± 1.4 75.16± 1.32 74.61± 1.35
Unigram KNN 3000 77.03± 1.3 78.44± 1.37 77.03± 1.3 76.08± 1.42
Bi-Gram 76.28± 1.46 78.41± 1.51 76.28± 1.46 74.99± 1.65
Tri-Gram 75.96± 1.44 78.15± 1.48 75.96± 1.44 74.62± 1.64
Four-gram 75.28± 1.43 76.94± 1.49 75.28± 1.43 74.05± 1.62
Unigram RF 3000 78.64± 1.4 79.41± 1.34 78.64± 1.38 78.08± 1.4
Bi-Gram 78.4± 1.35 79.32± 1.39 78.35± 1.3 77.6± 1.51
Tri-Gram 78.44± 1.38 78.98± 1.36 78.44± 1.37 78.05± 1.39
Four-gram 78.51± 1.35 79.33± 1.37 78.54± 1.38 77.94± 1.46
Unigram LR 3000 79.8± 1.26 80.13± 1.26 79.8± 1.26 79.43± 1.32
Bi-Gram 79.91± 1.3 80.28± 1.3 79.91± 1.3 79.53± 1.37
Tri-Gram 79.64± 1.26 79.93± 1.27 79.64± 1.26 79.28± 1.31
Four-gram 79.66± 1.3 79.93± 1.32 79.66± 1.3 79.32± 1.35
Unigram SVM 3000 79.98± 1.24 80.67± 1.25 79.98± 1.24 79.48± 1.32
Bi-Gram 80.08± 1.27 80.69± 1.27 80.08± 1.27 79.61± 1.35
Tri-Gram 79.88± 1.27 80.48± 1.26 79.88± 1.27 79.41± 1.34
Four-gram 79.34± 1.35 79.73± 1.36 79.34± 1.35 78.92± 1.41
Unigram NB 3000 79.65± 1.18 79.96± 1.22 79.65± 1.18 79.28± 1.22
Bi-Gram 79.48± 1.15 80.17± 1.21 79.48± 1.15 78.95± 1.21
Tri-Gram 79.21± 1.2 80.14± 1.25 79.21± 1.2 78.59± 1.28
Four-gram 79.22± 1.29 79.82± 1.34 79.22± 1.29 78.72± 1.35