The membership of a banking system depends on the interest provided for account , charges transactions and services account. Now-a- days, many banks provide competitive which give customers options to choose from. This might lead customer dissatisfaction result in deactivation also known as churn. Churn is 'when client cancels company they have been using. In this project we will try predict ch...

We develop a framework to estimate the impact of service quality on expected customer lifetime value (ECLV) in non-contractual settings. Based on a latent attrition model, we incorporate covariates that reflect the quality of service requested and received for each transaction. We find that service quality affects customer lifetimes asymmetrically, with the failure to meet customer expectations...

Classification is the process of identifying and grouping an object into same group or category can be used to a large-sized dataset, some commonly classification methods are CART (Classification And Regression Tree) Naïve Bayes. This study discusses comparison Bayes by measuring accuracy, precision, recall, f1-score values with 3 scenarios training testing dataset distribution. Accuracy, measu...

This study aims to present a very recent literature review on customer churn prediction based 40 relevant articles published between 2010 and June 2020. For searching the literature, most according Google Scholar ranking were selected collected. Then, each of scrutinized six main dimensions: Reference; Areas Research; Main Goal; Dataset; Techniques; outcomes. The research has proven that widely...

Customer retention is one of the most important tasks a business, and it extremely to allocate resources according potential profitability customer. Most often problem predicting customer churn solved based on RFM (Recency, Frequency, Monetary) model. This paper proposes way extend model with estimates probability changes in behavior. Based an analysis data relating 33 918 clients large Russian...