Glossary term
What is Permutation importance?
In Apex Flow Academy, "Permutation importance" means: How much a model's score drops when one column is scrambled. It shows what the model leans on, not what causes the label. It is taught in Machine Learning With Python: From Zero to a Working Model. Related terms include Recall, Virtual environment, Precision and R-squared (R2).
- 1 course teaches it
- plain-word definition
The facts
What is Permutation importance?
How much a model's score drops when one column is scrambled. It shows what the model leans on, not what causes the label.
Where is Permutation importance taught?
Permutation importance is defined in Machine Learning With Python: From Zero to a Working Model.
Which lessons cover Permutation importance?
These lessons name it in their title or objectives:
- Machine Learning With Python: From Zero to a Working Model, lesson 6.1: Which columns does the model lean on?
Which terms are related to Permutation importance?
Next to Permutation importance in the course glossaries: Recall, Virtual environment, Precision, R-squared (R2) and MAE.
The hard questions, answered straight
Bold questions people really ask. Each answer comes from the course data or a settled Academy fact.
Do I need experience before I learn Permutation importance?
It depends on the course. Each course that teaches it lists its own prerequisites, and all are listed at beginner level:
- Machine Learning With Python: From Zero to a Working Model: Basic Python: variables, lists, dictionaries, functions, and running a .py file from a terminal.