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Created two classification models to fit the data, and evaluate which model is more accurate at detecting spam. The models used will be a logistic regression model and a random forest model.

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Classification-Challenge

Created two classification models to fit the data, and evaluate which model is more accurate at detecting spam. The models used will be a logistic regression model and a random forest model.

Results:

Although both model's predictions showed favorable results, the Random Forest Classifier model yielded a higher accuracy of detecting spam at 96.7% compared to the logistic regression model's 93.1%

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Created two classification models to fit the data, and evaluate which model is more accurate at detecting spam. The models used will be a logistic regression model and a random forest model.

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