Predictive Churn Modeling for Developer Tools Subscriptions

Create a machine learning pipeline in Node.js that predicts software subscription churn using advanced feature engineering techniques. Develop a model that integrates usage metrics, interaction logs, and temporal behavior patterns, utilizing TensorFlow.js for model training and inference. The solution must generate probabilistic churn risk scores, support automated feature selection, and provide interpretable insights into potential customer dropout factors.