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Conductor performance is under-estimated in this case because the non-uniform current distribution still remains.
DCIS was under estimated in 40%.
The MCIoT system performance is estimated in terms of the normalized energy consumption, application execution time, and QoS satisfaction probability under various offered computation loads.
The nested CV performance is listed with estimated standard error.
Model classification performance was estimated using the area under the receiver-operator characteristic curve (AUC), calculated after leave-one-out cross-validation, where the model was fit to every trial but one, and the model was then used to predict the outcome of the left-out trial.
Performance was estimated as: Performance = 1 − std EM G Rect mean EM G Rect.
Classifier performance was estimated using cross validation.
The prediction performance was estimated using the remaining 20% sequences.
Model performance was estimated using leave-one-out cross-validation.
Classifier performance was estimated using five-fold cross-validation.
Ventricular performance was estimated, as outlined previously [17].
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