Modelling Customer Churn Rate and Its Use for Customer Retention Planning

Client recognizable proof that has been beaten is imperative to any organization's activity and development. Distinguishing proof of beat clients can help an organization sort out why clients are leaving and configuration market strategies to assist the organization with developing. The objective of this exploration is to foster an AI model that can precisely anticipate beat clients from the general number of telecom clients. Client maintenance is a pivotal business procedure since the expense of client securing is far higher than the expense of client maintenance. Quantitative and logical exploration approaches will be utilized to develop a regulated AI model that tends to the class irregularity issue, handles include choice, and dependably predicts client wearing down. The general accuracy of the model, the Receiver Operating Characteristic Curve and area are immensely significant variables to consider. The Receiver Operating Characteristic Curve will be utilized to decide the assessment measures