In this Jupyter notebook, a neural network classifier, logistic regression, Random Forest and Adaboost models are tested for disaster tweet classification. It compares the performance of these models and demonstrates that stacking a Logistic Regression model, Random Forest, and Adaboost outperforms the other approaches, achieving an AUC of 0.849 on the test data.
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A Jupyter notebook which compares the performance of various machine learning models for disaster tweet classification, highlighting the effectiveness of a stacked ensemble model.
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