Hello;

The definition of Precision: Proportion of true positives over total number of samples. Higher precision leads to less false positives (model predicts 1 when it should've been 0). in "02_pytorch_classification.ipynb" is wrong.
Precision is the proportion of true positives over positive predictions (not the total number of samples).

Thanks