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    ARTICLE

    Application of the random forest algorithm for predicting the persistence of seed banks in the Horqin Sandy Land, China

    Tang Y1, SS Jin2

    Phyton-International Journal of Experimental Botany, Vol.87, pp. 280-285, 2018, DOI:10.32604/phyton.2018.87.280

    Abstract Persistent seed banks have been detected in the Horqin Sandy Land, China using experimental methods. In this study, we used seed traits (i.e. seed mass and seed shape) to predict the persistence of seed banks using the random forest algorithm. The results showed that the mean decrease in accuracy for seed mass and seed shape was 18.26 and 9.90, respectively, suggesting that seed mass was a better predictor than seed shape. With increasing seed mass, the log of P (where P is the ratio of the number of votes selecting existence of a persistent seed… More >

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