Mohammadi (2019) claimed that Vitense et al. (2019) did not adequately report random forest parameter values, listing several parameters from the Python library scikit-learn as examples. Here, I explain that these parameters either were reported in the original paper or are not relevant for the software (RF++) and approach we employed. I further emphasize that the scikit-learn library should not be used to replicate the analysis in Vitense et al. (2019).

中文翻译：

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对写给编辑的信的回应：“预测总磷水平作为浅湖管理的指标”

Mohammadi（2019）声称Vitense等人。（2019）没有充分报告随机​​森林参数值，列举了Python库scikit-learn中的几个参数作为示例。在这里，我解释说这些参数要么是在原始论文中报告的，要么与我们使用的软件（RF ++）和方法无关。我进一步强调，不应使用scikit-learn库来复制Vitense等人的分析。（2019）。