Research Article
Estimating Children Engagement Interacting with Robots in Special Education Using Machine Learning
| ML model | Accuracy (%) | Precision (%) | Recall (%) | F-measure (%) |
| SVM (RBF) | 91.53 | 91.86 | 91.53 | 91.51 | SVM (poly) | 57.92 | 61.50 | 57.92 | 54.74 | Decision Tree | 87.01 | 88.59 | 87.01 | 86.83 | k-NN | 88.33 | 88.81 | 88.33 | 88.30 | Naïve Bayes | 78.12 | 81.41 | 78.12 | 77.49 | MLP | 78.75 | 79.73 | 78.75 | 78.50 | ELM | 89.72 | 90.16 | 89.16 | 89.66 | Random Forest | 88.54 | 89.61 | 88.54 | 88.42 | AdaBoost Decision Tree | 93.33 | 94.09 | 93.33 | 93.28 | AdaBoost Naïve Bayes | 82.29 | 83.48 | 82.29 | 82.09 |
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