Putting it All Together
Explore how to build and evaluate a binary classification model in PyTorch. Understand data preparation with Scikit-Learn, configure the model with an appropriate loss function, train it using SGD optimizer, and assess performance using classification metrics like confusion matrix.
We'll cover the following...
We'll cover the following...
Overall view of the result
In this chapter, we have not modified the training pipeline much. The data preparation part is roughly the same as in the previous chapter except that we performed the split using Scikit-Learn this time. The model configuration part is primarily the same as well, but we changed the loss function, so it is ...