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Predicción Académica con Regresión Ordinal by C Rafael Hugo is a document available to read on EtoBox.

What is Predicción Académica con Regresión Ordinal about?

This document discusses using ordinal logistic regression to predict student academic performance in a probabilistic models course based on their first year results. Data from 274 students over two academic years was used to create a model relating probabilistic models grade to the average grade in first year science courses. The model found higher average science grades were associated with better probabilistic models performance. The model

Author
C Rafael Hugo
Language
EN