AI Terminology
/Beginner
Accuracy
Definition
The most fundamental evaluation metric in Machine Learning. It is the percentage of total predictions that the AI model got completely correct.
Explain Like I'm New
If you take a 100-question test and get 90 questions right, your Accuracy is 90%.
Real World Example
An AI is built to predict if an email is spam or not. Out of 1,000 emails, it correctly categorized 950 of them. The Accuracy of the model is 95%.
Common Use Cases
- •General model evaluation
- •Balanced datasets
Interview Questions
basic
- If an AI guesses correctly 80 times out of 100, what is its accuracy?
intermediate
- Why is Accuracy a terrible, misleading metric if your dataset is highly imbalanced?