Machine Learning

Chapter 4 Some Practical Notes

In the previous chapter, you learned about some of the important classifiers like artificial neural network, logistic regression, and support vector machine. When you train a classifier, usually you want to report the performance of your model in practice. Although, to have a good intuition of what happens when you train a classifier such as artificial neural networks, you should be familiar with concept of overfitting and underfitting. In this chapter, we will discuss how to split the dataset in training, validation and how to test in order to check the performance of a trained model. There are many metrics to measure the performance of the model. One of them is loss which we discussed in the neural network. In ...