Added an example to 14_imbalanced/handling_imbalanced_data_exercise.md #24
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Exercise: Predicting Customer Satisfaction
Use the Customer Satisfaction dataset from Kaggle. - https://www.kaggle.com/datasets/teejmahal20/airline-passenger-satisfaction
Build a classification model to predict customer satisfaction.
Initially, use a logistic regression model from scikit-learn.
Print the classification report and analyze precision, recall, and f1-score.
Try to improve the f1-score for the minority class using techniques like undersampling, oversampling, or ensemble methods.
[Solution] : https://www.kaggle.com/code/teejmahal20/classification-predicting-customer-satisfaction
Thanks https://kaggle/teejmahal20 for providing this solution.