'IEREK Research Enrichment and Knowledge Exchange'
Abstract
Teachers often claim that class attendance and sitting at the front of a classroom improves student grades. This study employs machine learning on a private University\u27s attendance data to analyze this claim. We perform a correlation analysis in Azure by training regression models. No correlation is found. Next we use the K-means clustering algorithm in Azure. At k=2 clusters, a cluster with perfect attendance shows a higher average grade than a cluster with a late attendance average. Seat choice within the classroom does not prove important to the clustering models
