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A random forest model predicts the presence of Blastomyces dermatitidis DNA in random environmental samples with 75% accuracy. The basal environmental sample data were split into training (n = 101) and test (n = 37) data sets and analyzed using logistic regression, classification tree, and random forest models to determine model accuracy at predicting the presence of B. dermatitidis DNA in the test data set using 13 environmental characteristics.
