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The DT achieved a global accuracy of 90.21%.
With this technique a global accuracy of 96.15% was achieved.
Overall global accuracy on the test data is 94.6%.
The 1.2% Root Mean Squared Error of Prediction (RMSEP) of the NIR model indicated the global accuracy of the model.
A detailed analysis of the accuracy of the new embedding scheme is presented, confirming its second-order global accuracy.
A global accuracy of 93.5% of well classified images is obtained in the reference conditions which is an encouraging result.
The results of numerical experiments demonstrate the optimal global accuracy of the methods as well as superconvergence phenomena.
The interface closures are such that the global accuracy of the numerical method is that of the interior stencil.
These indicators provide useful information on the number of classified and misclassified cases, global accuracy, and discriminatory ability of diagnostic tests.
Numerical examples are provided to demonstrate the high global accuracy of the IFE method with ABC based on Cartesian meshes, especially around both interface and boundary.
It is shown that even though an acceptable global accuracy can be achieved, the flux distribution presents a slight axial drift.
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