This action will divide our data set into a ratio of 70:30 (Our dataset is small hence a higher test set). Enter the following code in a new cell: from sklearn.metrics import confusion_matrix. from ...

The model is placed into eval() mode which is good practice even when not necessary (when the model doesn't use dropout or batch normalization) because the default is train() mode. The demo input ...

The Data Science Lab. Binary Classification Using PyTorch: Model Accuracy. In the final article of a four-part series on binary classification using PyTorch, Dr. James McCaffrey of Microsoft Research ...

Automated Question Classification. We are going to use the exact same process and model, but on a different dataset which will enable us to do something more powerful: learn to classify questions ...