【Deep Learning Nanodegree Foundation笔记】第 9 课：Model Evaluation and Validation

In this lesson, you'll learn some of the basics of training models.

You'll learn the power of testing and cross validation,

and some interesting metrics to evaluate models, such as accuracy or R2 score.

• How to create a test set for your models.
• How to use confusion matrices to evaluate false positives, and false negatives.
• How to measure accuracy and other model metrics.
• How to evaluate regression.
• How to detect whether you are overfitting or underfitting based on the complexity of your model.
• How to use cross validation to ensure your model is generalizable.