Using Neural Network and Logistic Regression Analysis to Predict Prospective Mathematics Teachers' Academic Success upon Entering Graduate Education
Using Neural Network and Logistic Regression Analysis to Predict Prospective Mathematics Teachers' Academic Success upon Entering Graduate Education
Elif Bahadır
2016 · DOI: 10.12738/ESTP.2016.3.0214
30 Citations
TLDR
An experimental comparison study of Logistic Regression Analysis (LRA) and Artificial Neural Network (ANN) for predicting prospective mathematics teachers’ academic success when they enter graduate education finds the average correct success rate of students for ANN was higher than LRA.