About this document
Distributional Drift Analysis of Students by pygks458 is a document available to read on EtoBox.
The document presents a distributional drift analysis comparing old and new datasets of 9th-grade student data across three metrics: Attendance, Study Hours, and Total Marks. The analysis utilizes empirical cumulative distribution functions (ECDF) and histograms with kernel density estimates (KDE), revealing significant differences indicated by p-values and Wasserstein distances. Key findings include notable shifts in distributions, with the highest KS statistic observed for Study Hours.
- Author
- pygks458
- Language
- EN