Research Article
Deep Learning- and Word Embedding-Based Heterogeneous Classifier Ensembles for Text Classification
Table 2
Classification accuracies of single classifiers on datasets represented with TF-IDF weighting scheme.
| Dataset | MVNB | MNB | SVM | RF | CNN |
| 20News-18828 | 75.89 | 91.49 | 91.50 | 90.36 | 89.23 | 20News-19997 | 63.91 | 81.29 | 63.14 | 78.56 | 75.56 | Mini-news | 77.78 | 82.93 | 92.40 | 90.44 | 91.7 | WebKB4 | 79.30 | 86.74 | 91.15 | 89.75 | 91.56 | 1150haber | 85.17 | 95.30 | 92.52 | 95.07 | 94.37 | Milliyet | 83.19 | 83.91 | 92.75 | 93.05 | 78.06 | Hurriyet | 77.14 | 82.29 | 81.44 | 85.11 | 87.31 | Aahaber | 82.06 | 83.26 | 80.89 | 88.26 | 90.19 | Average | 78.06 | 85.90 | 85.72 | 88.83 | 87.25 | Computation time | 1 h 13 m | 1 h 45 m | 2 h 17 m | 3 h 34 m | 5 h 23 m |
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