Here, we'll see the final evaluation of my final set, the test set. I've now settled on the best model, or the best settings, to test for the first time on data it's never seen before. We'll start by noting that we used only the transform, not the v-transform, on the data, and therefore on the test data. This allows us to measure only the part of the training data we've defined to ensure objectivity. We started with raw data and went through a complex pipeline, trying different models and optimizing them. Finally, we tested the efficiency of our system with real data. This is the lifecycle of any professional project in general. I've sped up the last part a bit because people are starting to understand how to grasp the code just by looking at it. So, I'd like people to start looking at the rest of the code, God willing. God willing, you will be ready to complete the project. I hope to see you all soon, God willing. Good luck, guys, God willing. Peace, mercy, and blessings of God be upon you.
ch2 in hands-on machine learning (project code)—part 4