Research Article
Mixed Script Identification Using Automated DNN Hyperparameter Optimization
Table 6
Accuracy comparison with parameter optimization though random estimator.
| Glove embedding with random estimator (random suggest) | Dataset | Classification algorithms | LSTM | Bi-LSTM | GRU | Bi-GRU |
| Eng-Roman Urdu | 0.561 | 0.864 | 0.809 | 0.882 | Saraiki-Hindi | 0.475 | 0.801 | 0.829 | 0.901 | Bengali-Hindi | 0.553 | 0.754 | 0.845 | 0.892 | Eng-Bengali | 0.593 | 0.812 | 0.812 | 0.899 | Saraiki-English | 0.685 | 0.79 | 0.803 | 0.864 | Saraiki-Roman Urdu | 0.772 | 0.834 | 0.89 | 0.895 | Saraiki-Bengali | 0.562 | 0.831 | 0.88 | 0.861 | Eng-Bengali-Saraiki-Hindi-Roman Urdu | 0.462 | 0.68 | 0.783 | 0.85 |
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Bold indicates the maximum performance of the algorithm.
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