翻译: # 如前所述,虽然模型准确度尚可接受,但是模型针对响应变量中类别为1的样本预测准确度极低,因此针对该 # 模型的结果适用性需要进一步改进或者考虑其他模型进一步验证. # 在模型构建过程中,为了简化构建步骤,采用了简单直接的删除方法对NA以及异常数据进行的处理,这些也会 # 在一定程度上导致模型错过一些可能的关键信息.

As previously mentioned, although the model accuracy is acceptable, the prediction accuracy for samples with a response variable category of 1 is extremely low. Therefore, further improvement or consideration of other models is needed to improve the applicability of the results obtained from this model. In the process of model construction, a simple and direct deletion method was used to handle NA and outlier data to simplify the construction steps. However, this may lead to the model missing some possible key information to a certain extent.