Sentence examples for model performance metrics from inspiring English sources

Exact(10)

In contrast, model performance metrics indicated that V 2 was a moderately good predictor of mean log MOE (RMSE 1.4 GPa, MAPE 11%%, TP rate 74 %, validation dataset).

Apart from conventional model performance metrics, a new index, called percent volumetric error, was proposed, especially for quantifying the phase error.

Three model performance metrics were calculated: Nash Sutcliffe Efficiency, a normalised error index statistic (the ratio of the root mean square error to the standard deviation of observed data) and the percentage bias.

This is followed by the explanation of the approximated analytical model for proposed scheme in Section 3. Sections 4 and 5 present simulation model, performance metrics and results from the simulations carried out respectively.

In the review process, network parameters, distance, speed, no. of nodes, no. of hops, communication overhead, relative mobility, simulation parameters, simulation tool used, mobility model, performance metrics and compared protocols are taken under consideration.

Overall, improved simulations were noted for adjusted-LBC runs for ozone concentrations both at the ground-level and in the middle to upper troposphere, based on EPA-recommended model performance metrics.

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Similar(49)

Based on the derived exact statistics of these models, performance metrics, such as coefficient of variation, average SNR, outage probability, and average SER, are evaluated.

In this section, CCSOA is solved with genetic algorithm to investigate the impact of the parameters including Γ, α, ( overline{d_{mathrm{UE}}} ), number of the nodes, and connectivity features of network (ER model and BA model) to performance metrics of CNSC-RAN.

In this section, we present the energy model, the performance metrics, and the simulation model we have used for performance evaluation.

This section provides background about the regression methods, model's performance metrics, and a metric for measuring the relative importance of the prediction factors used in the models.

In this paper, we proposed a formal framework to accurately model key performance metrics of ad hoc routing algorithms.

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