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Resear ch Ar ticle

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Academic year: 2019

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Table 1 – Description of 18 independent variables (physical,  chemicals, microbiological and climatic) used in the composition of  the database aimed at decision tree induction to predict different  levels of soil respiration.
Table 2 – Distribution of soil respiration (g m 2–1 h –1 ) according to low,  medium and high classes and their limits, aimed at decision tree  induction to predict different levels of Soil respiration.
Table 4 shows the results of different methods for  variable selection. This Table also shows rates of accuracy,  Kappa coefficient and the number of rules generated in  each tree for each variable selection method performed.
Table 7 – Accuracy rates, Kappa coefficient, and the number of  rules for different pre-pruning levels for the Wrapper method.

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