Browsing by Author "Hosen, Md. Fahad"

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    Studying Machine Learning Algorithms for Customer Churn Prediction
    (Daffodil International University, 2019-12-10) Hossain, Md. Forhad; Hasan, Md. Umaid; Hosen, Md. Fahad
    In this new era, customer relationship management is a challenging deed in the telecommunications industry because this is a profoundly competitive sector and continually challenged by customer churn. For predicting out the customer churn accurately, this article represents a comparative analysis among the most prevalent machine learning techniques. The first step to han- dle the challenging issue of a customer churn prediction is the uses of Data Mining and Machine Learning tools. Feature Engineering along with widely utilized classification methods such as (DT) Decision Tree, ANN (Artificial Neural Network) and SVM (Support Vector Machine), is implemented on a public domain telecoms dataset. After the main phase, this analysis finds out the best overall classifier using Accuracy, Precision, Support, Recall, F- measure, which is determined from the substance of the Confusion Matrix.