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Stratified random sampling is a commonly used sampling design for accuracy assessment, and an important decision for this design is the allocation of sample size to the strata.
Extended Data Fig. 3 Distribution of randomly sampled points used for the independent accuracy assessment.
Foody, G. M. Sample size determination for image classification accuracy assessment and comparison.
I. Accuracy assessment.
Table 3: Accuracy assessment represented as a confusion matrix.
Subsequently the all-atom model is used to increase the sampling accuracy of local energy landscapes.
Shuman, C. A. et al. ICESat Antarctic elevation data: Preliminary precision and accuracy assessment.
A comparison of resampling methods for remote sensing classification and accuracy assessment.
The techniques (ANOVA and Post Hock Test) used in the accuracy assessment.
Figure 14 Accuracy assessment of mapping functions.
Various measures of accuracy assessment such as producer accuracy, user accuracy (Congalton 1991), overall accuracy and Kappa coefficient were done.
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