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Module 12 - Using the imblearn , I'll use a logistic regression model to compare 2 versions of a dataset. First, I’ll use the original data. Next, I’ll resample the data by using RandomOverSampler. In both cases, I’ll get the count of the target classes, train a logistic regression classifier, calculate the balanced accuracy score, generate a con

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Using the imblearn library , I will use a logistic regression model to compare two versions of a dataset. First, I’ll use the original data. Second, I’ll resample the data by using RandomOverSampler from the imblearn library. For both cases, I’ll get the count of the target classes, train a logistic regression classifier, calculate the balanced accuracy score, generate a confusion matrix, and generate a classification report.

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Module 12 - Using the imblearn , I'll use a logistic regression model to compare 2 versions of a dataset. First, I’ll use the original data. Next, I’ll resample the data by using RandomOverSampler. In both cases, I’ll get the count of the target classes, train a logistic regression classifier, calculate the balanced accuracy score, generate a con

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