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Variable importance according to mean decrease in accuracy of the random forest classifier. The mean decrease in accuracy, when a variable is permuted, shows the importance of each variable with respect to its contribution to the random forest accuracy. Variables with a large mean decrease in accuracy contribute more in classification of the data. For illustrative purposes only, variables with score higher than 1.00 are shown in the figure.
