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There was very little difference between the in-sample classification measures, and the out-of sample measures.
In addition, the importance of evaluating generalization performance using cross-validation measures and other out-of-sample measures is emphasized.
Results were assessed using in-sample and out-of-sample measures and compared for distribution similarity, variogram and spatial structure reproduction, computational load and uncertainty ranges.
To rigorously prove the accuracy of our meter, we conducted many trials to compare the turbidity of samples measured with a commercial meter against values calculated with our meter.
Calibration models with low prediction errors of paracetamol could be obtained if a simple calibration set of unshielded samples (samples measured directly, hence without blister package) was combined with a very small set of samples measured through blister.
Number of samples measured to have a certain osmolality.
Figure 3 shows a comparison of the number of samples measured both with F-ISE and titration.
The PL spectra of samples, measured at 290 K using power excitation about ~0.04 mW/cm2, are shown in Fig. 3a.
s1 indicates the total number of samples measured in the absence of jamming, and s2 denotes the total number of samples in the presence of constant jamming.
No detectable peaks were obtained from ZnTe. Figure 8 Raman spectra of samples measured for 785- and 514-nm laser wavelengths of ZnTe-embedded PS sample.
(a) FTIR spectra of samples measured at Brewster's angle (65°) as a function of TA for 1 h of nitrogen flow.
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