Summary

In this chapter, you learned about another supervised machine learning algorithm—logistics regression. You first learned about the logit function and how to transform it into a sigmoid function. You then applied the logistic regression to the breast cancer dataset and used it to predict if a tumor is malignant or benign. More importantly, this chapter discussed some of the metrics that are useful in determining the effectiveness of a machine learning algorithm. In addition, you learned about what an ROC curve is, how to plot it, and how to calculate the area under the curve.