Deep Learning with Structured Data

7 More experiments with the trained model

This chapter covers

• Validating whether removing bad values improves the model performance
• Validating whether embeddings for the categorical columns improve the model performance
• Possible approaches to improving the performance of the model
• Comparing the performance of the deep learning model with a non-deep-learning model

In chapter 6, we trained the deep learning model and did a series of experiments to measure and improve its performance. In this chapter, we will go through a set of additional experiments to validate two key aspects of the model: removing bad values (a step that we took as part of the data preparation described in chapters 3 and 4) and including embeddings for the categorical columns ...