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The classifier is then trained with data from 4 folds and tested on data from the rest one fold in turn.
Consequently, the 93% sensitivity value produced in this paper appears to be extremely good given that our classifiers were trained and tested on data from 24 different patients not just on one.
The developed framework is tested on data sets of thirty different problems.
Finally, the developed model is tested on data affected by noise.
The proposed algorithms are tested on data obtained by a method of moments (MoM).
The technique is tested on data recorded by the seismic network in Iceland.
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The performance of the ASR system trained on lecture data and tested on lecture data is slightly poorer than the ASR system trained on Olive data and tested on Olive data.
Next, the WESN-based forecasters are compared with other models either previously tested on the data used here or to be rebuilt for testing on these data.
While the molecular coancestry approach was tested on simulated data, the GBLUP and haplotype approach here have been tested on real data.
The model is being tested on industrial data.
The model was tested on various data sets.
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