Insurance Subscription Prediction Using Machine Learning by Abhijeet Parashar Insurance Subscription Prediction Using Machine Learning by Abhijeet Parashar

Insurance Subscription Prediction Using Machine Learning

Abhijeet Parashar

Data Visualizer

ML Engineer

Data Analyst

pandas

scikit-learn

Artificial Intelligence

In my project, I aimed to predict whether clients would subscribe to insurance based on demographic and marketing data. I cleaned and analyzed the data, transforming it into a suitable format for machine learning. After training several models, I found that the Gradient Boosting model performed best, achieving a high ROC AUC score of 0.986 and an accuracy of 77.3%. I discovered that the duration of the call was the most significant predictor of subscription. This model can effectively help identify potential insurance subscribers.

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Posted Jun 11, 2024

I used demographic data to predict insurance subscriptions, with the Gradient Boosting model excelling (0.986 ROC AUC) and call duration being key.

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