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-Explain the confusion matrix in classification methods and explain how you interpret the its number in an example

such as which containers need to be selected at ports for a full inspection (for custom check)?

-Give two examples related to your discipline that you need to apply over sampling partitioning before building the model. You need to provide detail explanations

-Assume one of the explanatory variable (named X1) in your logistic regression is a categorical variable with the following levels: low, average and high, and another explanatory variable (named X2) is also categorical with the following levels: Sydney and Melbourne. Explain how you will use them in developing your logistic regression model. How many coefficients you will have in your final model?

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