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What is Bus Service Quality Evaluation with ML about?

This document describes using machine learning algorithms to evaluate the quality of public bus service based on a survey. It collected data using a questionnaire on cleanliness, frequency, fare, behavior, ventilation and overall satisfaction. 50 responses were gathered and analyzed in Python using pandas, matplotlib and scikit-learn. Models like logistic regression, linear discriminant analysis, k-nearest neighbors, decision trees, naive bayes and support vector machines were tested on a validation set wit

Author

Franck

Language

EN