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Usually, one is interested in a high prediction accuracy on data not available during the optimization process, that is, one wants a function that generalizes well beyond the given set of training data points.
The model showed good accuracy on data with a correlation coefficient higher than 93%.
Assuming perfect symbol period estimation, the matched filter achieves high accuracy on data decoding at the expense of complex hardware implementation whereas the edge detector is vulnerable to noise perturbation due to its simple circuit structure.
At each iteration, we gauge the quality of the model by testing its accuracy on data that was not included in the training.
For example, MP's reconstruction accuracy on data generated with a bonus for performing rewarded tasks that is 1/100th of the default bonus is essentially identical to MP's accuracy on computer simulation data.
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Also, the cost-effectiveness analysis in the present study hinges heavily on performance models which, in turn, depend on accuracy of data on the pavement performance of the treated pavement and selected performance indicators.
The first limitation is that this was a retrospective study and therefore relies on the accuracy of data recorded on the medical record.
SVMs can be applied to datasets with millions of input features and have good generalization abilities, in that models inferred from small amounts of training data show good predictive accuracy on novel data.
Simulation results show that TDOA estimation accuracy based on data block-encoding data is close to that based on the whole encoding method for high SNR.
However, it may not be performed with the same accuracy on other data sets or may need some data set-specific recalibration.
These models are evaluated according to a scoring function that incorporates terms for classification accuracy on annotated data, and relative cluster separation in unannotated data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com