<s>[INST] Design a machine learning algorithm to predict the likelihood of a customer churning for a telecommunications company [/INST] Algorithm: Logistic Regression 

Objective: The goal of this algorithm is to predict the likelihood of a customer churning for a telecommunications company. 

Inputs: 
• Customer data (such as age, gender, location, type of service, phone plan, etc.) 
• Historical customer churn data 

Model Structure: 
• Initialize the logistic regression model with the customer data 
• Create the feature set by extracting relevant information from the customer data 
• Train the model using the historical customer churn data 
• Evaluate the trained model using metrics such as accuracy, precision, and recall 

Output: 
• The probability of a customer churning for a telecommunications company</s>