Sentence examples for prediction performance in terms of from inspiring English sources

Developed network was analyzed for the prediction performance in terms of mean absolute percentage error and coefficient of determination.

A comparison with different topologies of dynamic neural networks as well as other prevailing parametric and nonparametric algorithms suggests that LSTM NN can achieve the best prediction performance in terms of both accuracy and stability.

Table 2 shows the classification performance for circular fingerprint bond depths of 4-6 and it can be seen that they encode sufficient information for PRW and RASCAL top-2% performance of over 82% for all 3 isoforms, results that are competitive with other published methods [14, 15], see Table 3. Figure 4 Prediction performance in terms of MCC and top-2%.

The results show that this GA-based approach significantly improved the prediction performance in terms of AUC compared with our previous approach and with other existing prediction tools.

While ordering prediction performance in terms of MCC, ProteRNA delivers better performance than other predictors in accuracy, MCC, and F0.5-score.

Regarding evaluation measures, we assessed the overall prediction performance in terms of the receiver operating characteristic (ROC) curves and the area under the ROC curve (AUC).

Compared to Acencio classifier, GEP classifier possesses almost equal prediction performance in term of their average AUC values.

The insulation value of a cold weather ensemble can be used for prediction of its performance in terms of providing thermal comfort using ISO 11079.

A particular feature was demonstrated which related the prediction of system performance, in terms of vibration attenuation, to the tests required for optimising the neural network.

This paper presents a numerical study on self-pitching propellers (SPP) in open water aimed at the prediction of the performance in terms of equilibrium pitch-setting and delivered thrust and torque.

In view of this, there is the need for the hybridization of those techniques with traits that are strong enough to be used to complement the performance of other techniques for increased performance in terms of higher prediction accuracies, reduced prediction errors, and faster execution.