Sentence examples for accuracy of trend from inspiring English sources

hit ratio increases too irrespective of the no. of features, meaning an increase in the accuracy of trend prediction.

Measurement data from 2010 have been incorporated in the analysis to enhance the accuracy of trend estimation.

This approach can be applied to improve the accuracy of trend predictions that are based only on the temporal behavior and where it is possible to model a social network from the interaction among individuals related to the object.

The proposed approach can be applied to improve the accuracy of trend predictions that consider only the temporal behavior in scenarios where it is possible to recover the connection between the individuals who generate the data (e.g., trend identification of topics discussed in the blogosphere).

Another factor to validate the accuracy of this trend line is coefficient of determinations (CoD) indicated by r2 or R2.

Similarly, perturbation based approaches, which carefully add artificial noise (e.g. Gaussian noise) to sensed data in a manner that does not affect the accuracy of statistical trend has been proposed as one of the viable solutions for preserving user privacy in mobile crowdsensing applications [25, 53].

Subsequent prospective studies specifically aimed at confirming the potential predictive accuracy of the trends identified here are required to further assess their value in clinical practice.

The value of MAD and MSD reflected the accuracy of time series trend.

The results were consistent with the primary analysis, confirming the accuracy of the parallel trend assumption.

In this section we present the data from the Mexican economy used in this study, describe the methodology to evaluate the accuracy of the common trends in order to predict the Mexican economy, determine the number of common trends, and analyze their dynamic by evaluating the performance of the FAVAR model proposed in Sect. 2 with respect to benchmark models.

The methods should be assessed for the frequency of out-of-specification and out-of-trend data, data accuracy and variability, failure rate, easiness of method execution, and cost of operation.