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portada Analyzing Student Performance Prediction: Meta Stacking Classification
Type
Physical Book
Author
Publisher
Language
English
Pages
104
Format
Paperback
Dimensions
22.9x15.2x0.6 cm
Weight
0.16 kg.
ISBN13
9786139828364
Categories

Analyzing Student Performance Prediction: Meta Stacking Classification

Smita Pallavi (Author) · LAP Lambert Academic Publishing · Paperback

Analyzing Student Performance Prediction: Meta Stacking Classification - Pallavi, Smita

New Book Imported to Taiwan
Delivery: 06 Oct - 14 Oct Shipping: 14 to 15 business days.
NT$ 1,908
NT$ 1,908

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Synopsis "Analyzing Student Performance Prediction: Meta Stacking Classification "

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.

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