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The experimental results, validated on the real-world data provided by DiDi Chuxing, show that the FCL-Net achieves the better predictive performance than traditional approaches including both classical time-series prediction models and state-of-art machine learning algorithms (e.g., artificial neural network, XGBoost, LSTM and CNN).
Accuracy evaluation results showed that the BRT model had better predictive performance than the MLSR.
When it comes to limited data availability, a simple model may have a better predictive performance than a complex model.
However, the polynomial calibration equation had better predictive performance than the linear equation for the CTR-E200 meter.
The results show that HGA-FNN has a better predictive performance than GA-FNN and that it has good potential in terms of stability assessments of coastal structures.
The comparative study shows that the proposed approach succeeds in estimating hidden covariates and has a better predictive performance than the existing method using a superposition of harmonic hidden components.
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The results show that the genetic programming based models have better predictive performances than Van der Meer׳s stability equations, and that genetic programming has good potential for solving complex problems in the field of coastal engineering.
We not only demonstrated that the histone and nonhistone models had better predictive performances than the mixed model but also showed that our models exhibit significantly improved prediction sensitivity, specificity, accuracy, and MCC of lysine acetylation sites compared to previous approaches.
We observed a slightly better predictive performance for CDS and Exons than for Genes and Genes1kb.
Overall, there was better predictive performance in the general cohort than in the diabetes cohort for all outcomes.
The results indicate that the RF classifiers achieved better predictive performance for tissue-specific gene prediction.
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