It is preferred that feature selectors be \textit{stable} for better interpretabity and robust prediction. Ensembling is known to be effective for improving the stability of feature selectors. Since ensembling is time-consuming, it is desirable to reduce the computational cost to estimate the stability of the ensemble feature selectors. We propose a simulator of a feature selector, and apply it to a fast estimation of the stability of ensemble feature selectors. To the best of our knowledge, this is the first study that estimates the stability of ensemble feature selectors and reduces the computation time theoretically and empirically.

翻译：更可取的做法是,地物选择器应具有\ textit{ stag}, 以便更好地解释和进行稳健的预测。 集合已知对提高地物选择器的稳定性有效。 由于集合耗时,因此宜降低计算成本, 以估计共同地物选择器的稳定性。 我们提议了一个地物选择器的模拟器, 并将其用于快速估计共同地物选择器的稳定性。 据我们所知, 这是第一次估算共同地物选择器的稳定性, 并在理论上和经验上缩短计算时间的研究 。