Lesson·difficulty 2/5·~15 min
Count classifier outcomes
Read the task → edit your code → Run to see the output → Run tests to check your answer.
Implement confusion_counts(actual, predicted).
actual and predicted are equal-length lists containing only 0 and 1. Class 1 is positive. Return counts under keys tp, fp, tn, fn, including zero counts. Empty lists return all zeros.
Before coding, predict one result by hand. After the tests pass, explain your approach and add a boundary example of your own.
Tests
- Case 1
- Case 2
- Case 3
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