Sentence examples for model achieves high from inspiring English sources

Our experimental results show that the performance prediction model achieves high accuracy and the mean absolute error is 2.83%.

The experimental results indicate that the presented model achieves high estimation accuracy and leads to effective prediction.

Our experimental results show that the performance prediction model achieves high accuracy and the smart VM scheduling algorithms based on the prediction improves system efficiency and VM performance stability.

Also, while the Bayesian classifier based model achieves high accuracy, the model requires training data for both legitimate and adversarial users, which may not be always available in real-life.

Using extensive simulations, we demonstrate that our model achieves high resource utilization by improving throughput, establishing collision-free transmission, as well as respecting requirements of admitted flows in terms of delay and bandwidth.

The conversational model achieves high performance as revealed by comparison with the test results and with the existing standard methodology "E-model," presented in the ITU-T (International Telecommunication Union) Recommendation G.107.

Experimental results show that the discourse-aware retrieval model achieves higher precision than the word-based retrieval models, namely the vector space model (VSM) and Okapi model, adopting word-level information alone.

Experimental evaluation on a movie recommender system indicates that our model achieves higher diversity for a given drop in accuracy as compared to existing state of the art techniques.

As expected, the proposed model achieves higher R2 scores (0.789 0.952) in water table depth prediction, when compared with the results of traditional feed-forward neural network (FFNN), which only reaches relatively low R2 scores (0.004 0.495), proving that the proposed model can preserve and learn previous information well.

This can also explain why the 3-SNP LASSO model achieves higher prediction accuracy in Orkney than in Croatia, even though it is trained using samples from Croatia.

With the introduction of elastic strain energy, a dominant concept of interstitial diffusion theory, we are able to train the machine learning model achieving high accuracy of R-squared 0.9 without being over-fitted by using 94 impurity – host binary systems reported in the literature.