The results suggest that both methods achieve accuracy well above the baseline.
the models trained using Learning from Crowd classes not only achieved the highest accuracy, but also outperformed the thresholds for precision and recall in detecting deceptive reviews (Table 4), while the models trained with the majority voting classes showed a very high precision, but at the expense of the recall, which was lower than the baseline (Table 3).