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vault backup: 2026-05-17 21:07:00

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Running Start/CSB320 - Machine Learning Concepts/Class 4-16 (Classification Models).md
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@@ -117,4 +117,4 @@ The algorithm is referred to as "naive" because it makes a few assumptions:
- There is no correlation between the features in the dataset, they are all independent - There is no correlation between the features in the dataset, they are all independent
- Each feature has an equal importance when predicting the output class - Each feature has an equal importance when predicting the output class
testing testing2