Glossary term
What is Underfitting?
In Apex Flow Academy, "Underfitting" means: Being too simple to learn the pattern, so the model does badly everywhere. It is taught in Machine Learning With Python: From Zero to a Working Model. Related terms include Overfitting, Pipeline, Standardising (scaling) and Cross-validation. Every Apex Flow Academy course lists the official sources it checked.
- 1 course teaches it
- plain-word definition
The facts
What is Underfitting?
Being too simple to learn the pattern, so the model does badly everywhere.
Where is Underfitting taught?
Underfitting is defined in Machine Learning With Python: From Zero to a Working Model.
Which lessons cover Underfitting?
These lessons name it in their title or objectives:
- Machine Learning With Python: From Zero to a Working Model, lesson 4.4: Underfitting, overfitting and the validation set
Which terms are related to Underfitting?
Next to Underfitting in the course glossaries: Overfitting, Pipeline, Standardising (scaling), Cross-validation, One-hot encoding, Hyperparameter, Median and Grid search.
OverfittingPipelineStandardising (scaling)Cross-validationOne-hot encodingHyperparameterMedianGrid search
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 Underfitting?
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.