Glossary term
What is Test set?
In Apex Flow Academy, "Test set" means: Rows held back and hidden, used once at the end to give an honest score. It is taught in Machine Learning With Python: From Zero to a Working Model and Prompt Engineering Essentials. Related terms include Training set, Validation set, Accuracy and Data leakage.
- 2 courses teach it
- plain-word definition
The facts
What is Test set?
Rows held back and hidden, used once at the end to give an honest score. (From Machine Learning With Python: From Zero to a Working Model. 1 other course defines it for their own subject, so each definition follows.)
What does Test set mean in Machine Learning With Python: From Zero to a Working Model?
Rows held back and hidden, used once at the end to give an honest score.
What does Test set mean in Prompt Engineering Essentials?
A small group of varied inputs you run every time you change a prompt, to see whether it still works.
Where is Test set taught?
Test set is defined in Machine Learning With Python: From Zero to a Working Model and Prompt Engineering Essentials.
Machine Learning With Python: From Zero to a Working ModelPrompt Engineering Essentials
Which lessons cover Test set?
These lessons name it in their title or objectives:
- Machine Learning With Python: From Zero to a Working Model, lesson 5.4: Tune settings without peeking
- Prompt Engineering Essentials, lesson 5.2: Build a Test Set and Score Two Versions
Which terms are related to Test set?
Next to Test set in the course glossaries: Training set, Validation set, Accuracy, Data leakage, Baseline, Impute, Classification, Median, Hallucination (made-up fact) and Regression.
Training setValidation setAccuracyData leakageBaselineImputeClassificationMedianHallucination (made-up fact)Regression
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 Test set?
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.
- Prompt Engineering Essentials: No coding, statistics or prior AI experience needed.