Shrinkage estimator evaluation of multicollinear big data

Two datasets were considered in the application of the techniques proposed to address multicollinearity in the high-dimensional and big data domain. These are:
Alon.csv: a cancer classification dataset. The dataset contains 2000 gene expression levels on 62 colon tissues of which 40 are cancerous.Airport.csv: data obtained from the U.S. Bureau of Transportation Statistics, which provides information on U.S. transportation systems. The dataset contains information such as the origin and destination airport of various flights, the time at which flights are scheduled to arrive and depart, the delay in departing and arriving flights, and the time and distance to destination airports for major air carriers.

在针对高维大数据领域中的多重共线性问题所提出的技术应用中，考虑了两个数据集。具体如下：

Alon.csv：这是一份癌症分类数据集，其中包含了2000个基因表达水平，涉及62个结肠组织样本，其中40个为癌症组织。

Airport.csv：该数据集来源于美国运输统计局，提供了有关美国交通系统信息。数据集包含了各类航班的信息，包括起飞和降落机场、预计到达和出发时间、航班延误情况，以及主要航空公司的目的地机场的时间和距离信息。