Acknowledgements
Table III.16: MSE comparison of models for predicting users’ credibility rating behavior with 10-fold cross-validation. Improvements are statistically significant with P-value < 0.0001.
['[BOLD] Model', '[BOLD] MSE']
Ch4S3SS4SSSx3 Ch4S4SS1SSSx2 -Ch5S3SS1SSSx4 Ch5S3SS1SSSx7 -Ch5S3SS2SSSx3 Ch5S3SS2SSSx6 Ch5S3SS3SSSx4 Ch5S3SS3SSSx5 Ch5S4SS2SSSx2 -Ch5S4SS3SSSx3 Our model (User SVR) achieved the lowest MSE and thus performed best. MSE Comparison: The text-based LFM considers title and text, and performs better than its predecessors. However, the User SVR model considers richer features and interactions, and attains 23% MSE reduction over the best performing LFM baselines.