Which tool or technique is often used to make complex machine learning models more understandable for humans?
- Explainable AI (XAI)
- Reinforcement Learning
- Principal Component Analysis
- Gradient Boosting
Explainable AI (XAI) techniques are employed to simplify complex machine learning models, making them interpretable, and providing insights into model decisions.
Loading...
Related Quiz
- In SVM, the data points that are closest to the decision boundary and influence its orientation are called ______.
- You are working on a fraud detection system where false negatives (failing to detect a fraud) can have severe financial implications. Which metric would you prioritize to ensure that as many actual fraud cases as possible are detected?
- One advanced technique used in time series forecasting with deep learning is the ________ neural network, known for its ability to remember sequences over time.
- You're analyzing data from a shopping mall's customer behavior and notice that there are overlapping clusters representing different shopping patterns. To model this scenario, which algorithm would be most suitable?
- Decision Trees often suffer from ______, where they perform well on training data but poorly on new, unseen data.