AWS AI Practitioner
A data science team needs to choose an ML model for a use case that requires high explainability. The team wants to understand why the model makes specific predictions. Which ML model type has the MOST explainability?
A
Linear regression
✓ Correcta
B
Neural network
C
Deep learning
D
Ensemble model
Explicación
Linear regression offers the highest explainability among common ML models because its predictions are a simple weighted sum of input features. Each coefficient directly represents the relationship between a feature and the output, making it easy to understand and explain model decisions.