ML 5.4Lesson outlineLesson 4 of 5 in Module 5
Imbalanced Data
Know why the majority class wins by default, and what each fix costs.
Video in production.
Lesson outline: Imbalanced Data
In this lesson9 parts
- 01Accurate, and no fraud found
- 02Two days of card transactions
- 03Why the common class wins
- 04Fix one: move the threshold
- 05Fix two: change the training rows
- 06What resampling did
- 07Where it misleads
- 08Code
- 09Recap, your challenge, and what comes next
Builds on
This lesson stands on its own. These go deeper into what it uses.