Overfitting is a common problem in the development of predictive models. It leads to an optimistic estimation of apparent model performance. Internal validation using bootstrapping techniques allows one to quantify the optimism of a predictive model and provide a more realistic estimate of its performance measures. Our objective is to build an easy-to-use command, bsvalidation, aimed to perform a bootstrap internal validation of a logistic regression model.

中文翻译：

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用于预测逻辑回归模型的 Bootstrap 内部验证命令

过拟合是预测模型开发中的常见问题。它导致对表观模型性能的乐观估计。使用自举技术的内部验证可以量化预测模型的乐观程度，并提供对其性能度量的更现实的估计。我们的目标是构建一个易于使用的命令bsvalidation，旨在对逻辑回归模型执行引导程序内部验证。