Stability selection algorithm is a

Stability selection algorithm is a new feature selection method which combines quadratic regression algorithm and selection algorithm. The selection algorithm can be linear regression algorithm, support vector machine algorithm or other similar methods. Its main purpose is to use feature selection algorithm on different feature subsets and data subsets, and to summarize the result of feature selection repeatedly and finally. For example, when we calculate a certain frequency characteristic as an important characteristic, in an ideal case, the most important frequency characteristic will be close to 1, and the general frequency characteristic will be a specific value between 0 and 1, and the fraction of the most important characteristic will be close to 0.