What is Model Evaluation?
The process of measuring how well an AI model performs on tasks it was designed for.
Why It Matters
Proper evaluation ensures your AI actually works well before you deploy it to real users.
Real-World Example
Testing a chatbot on hundreds of sample questions and measuring how often it gives correct answers.
“Understanding terms like Model Evaluation matters because it helps you have better conversations with developers and make smarter decisions about your software. You do not need to be technical. You just need to know enough to ask the right questions.”
Related Terms
Precision and Recall
Two metrics for measuring AI accuracy. Precision measures how many selected items are relevant. Recall measures how many relevant items were selected.
F1 Score
A single number that balances precision and recall into one measure of model accuracy.
Confusion Matrix
A table that shows how often a classification model gets things right and wrong for each category.
Overfitting
When an AI model memorises its training data too closely and performs poorly on new, unseen data.
Learn More at buildDay Melbourne
Want to understand these concepts hands-on? Join our one-day workshop and build a real web application from scratch.
Related Terms
Precision and Recall
Two metrics for measuring AI accuracy. Precision measures how many selected items are relevant. Recall measures how...
F1 Score
A single number that balances precision and recall into one measure of model accuracy.
Confusion Matrix
A table that shows how often a classification model gets things right and wrong for each category.
Overfitting
When an AI model memorises its training data too closely and performs poorly on new, unseen data.
Large Language Model (LLM)
An AI system trained on massive amounts of text that can understand and generate human language.
Transformer
A type of AI architecture that processes text by paying attention to relationships between all words at once, rather...