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In this model, eight latent variables (factors) are employed to evaluate perceived service quality about coffee chains in Kuwait using Machine Learning techniques in R

R 100.00%
machine-learning support-vector-machine neural-networks logistic-regression pca kernel r

customer-satisfaction-indicators's Introduction

Customer-satisfaction-indicators

The Service Quality questionnaire is an economic indicator that measures customer satisfaction. In this model, eight latent variables (factors) are employed to evaluate perceived service quality about coffee chains in Kuwait. It is based on well-established theories and approaches in customer behavior which are applicable to various industries.

Machine Learning techniques of PCA, logistic Regression, Neural Networks and Support Vector Machines are applied using R

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