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Logistic regression model

As in scikit-learn, we just import the object and then instantiate the estimator, and then pass training set X and training set Y to the fit() method. First, we will predict the test dataset and then produce the accuracy, precision, and recall scores. The following screenshot shows the code and the confusion matrix as the output:

Later, we will save these into our pandas dataframe that we just created.

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