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Unfortunately, it was not possible to obtain ROC curve and AUC for SMO algorithm, because used WEKA implementation enables only on the binary classification.
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The implementation enables sensor to provide online data to consumers.
Our implementation enables numerous potential applications.
The model implementation enables one to vary NEP and PEP rates and other parameters widely.
The model implementation enables the NEP rate and other parameters to be varied.
The only extension is that the previous implementation only enables the best performing EEM parameter set to be selected via searching for the highest squared Pearson coefficient ((R^2)).
The outcome shows that the new implementation not only enables the I/O of datasets with several GB in size but also speeds up the write rate by a factor of 13 in the best case.
Now we present a prototypic implementation which enables real applications.
Application of the analytical framework for implementation fidelity enables generalisability of study results.
We then describe an implementation that enables us to solve moderately large problems exactly.
A timely assessment of organisational readiness can facilitate effective implementation by enabling a tailored implementation strategy.
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