portada Analyzing Student Performance Prediction: Meta Stacking Classification (en Inglés)

Analyzing Student Performance Prediction: Meta Stacking Classification (en Inglés)

Formato

Libro Físico

Autor

Smita Pallavi

Editorial

LAP Lambert Academic Publishing

Idioma

Inglés

N° páginas

104

Encuadernación

Tapa Blanda

Dimensiones

22.9x15.2x0.6 cm

Peso

0.16 kg.

ISBN13

9786139828364

Categorías

Investigación social y estadística

Analyzing Student Performance Prediction: Meta Stacking Classification (en Inglés)

Smita Pallavi (Autor) · LAP Lambert Academic Publishing · Tapa Blanda

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Reseña del libro "Analyzing Student Performance Prediction: Meta Stacking Classification (en Inglés)"

This book is a conglomerate framework to investigate, analyze and interpret academic attributes influencing students' performance pursuing Technical education. The vital goal of this research is selection of most optimal features influencing the Cumulative GPA as analogy of academic excellence. Various statistical tools and classifiers are of extracurricular activities on university management performance, in order to bring real contribution in terms of increased quality of university management by diversifying the extracurricular activities' offer within universities, with the effect on performance management growth. The research includes a detailed radiography of specialized studies from the field, in order to determine the current state of scientific knowledge in conceptual terms, and highlights the functionality of the university system. Quantitatively, Meta Stacked Regression model is compared with traditional linear regression and neural networks for feature importance in metrics of mean square error.