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ML Model for Customer Response Prediction by adityaparade20 is a document available to read on EtoBox.

The assignment involves applying a machine learning algorithm to a cosmetics shop dataset to predict customer responses to special offers. It includes constructing a confusion matrix and calculating key metrics such as Accuracy, Precision, Recall, and F1-score to evaluate model performance. The results aim to provide insights for optimizing customer classification and improving the ML model.

Author
adityaparade20
Language
EN