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Fig. 5 Samples of classification by painting style through the dispersion on the map: a result of Expressionism and Post-Impressionism, b result of Expressionism and Impressionism.
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The forest is intended to be a representative sample of classification trees constrained so that trees more consistent with prior information are more heavily represented.
Table 2 presents a sample of classification results obtained using three different parameter settings.
Open image in new window Fig. 2 Plot of calculated values of SAR and EC of water samples for classification of irrigation water (after US Salinity Laboratory Staff, 1954).
Further phenotype characterization of the date samples consisted of classification into soft, semi-dry and dry types by reference to the literature as well as moisture content measurement of one representative fruit per date sample.
Figure 2 shows samples of the classification results.
Our evaluation metrics were: (1) accuracy of out-of-sample classification and (2) reproducibility of spatial maps.
Make all samples satisfy |g(x)| ≥ 1 by sample normalization, that is, the nearest sample of distance classification surface satisfies that |g(x)| = 1.
Extensive monitoring of soil levels and measurements of a limited number of human blood samples allowed classification of the exposed population into three categories, A (highest exposure), B (median exposure), and R (lowest exposure).
The ploidy of the species was identified through RFLP (Restriction Fragment Length Polymorphism) analysis and comparison with reference samples of known taxonomic classification, grown from seeds obtained from the International Rice Research Institute IRRIInternational Rice Research Institute IRRI
Lastly, MCC measures the correlation between observed and predicted samples of the binary classification.
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