Description

Use stratified random sampling to select proportionate samples from categorical data. Understand the confusion matrix. Build and finalize a machine learning classifier from start to finish.

Learning Objectives

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1. Use stratified random sampling to select proportionate samples from categorical data.
2. Recall the function of the confusion matrix.
3. Determine how the confusion matrix relates to the ROC curve.
4. Build and finalize a machine learning classifier from start to finish.
5. Calculate AUROC.