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Challenge: Scaling Error Up to Multiple Data Points

Explore how to evaluate perceptron model accuracy on multiple inputs by coding error calculations with different weights. Learn to apply cross-entropy to assess model performance across datasets using Python and NumPy.

Problem statement

We have seen how different weights will have different accuracies on a single prediction. Usually, we want to measure model accuracy on many points. Now, write code to compare model accuracies for two different sets of weights which have been stored as ...