one fable-low hijack cell
pair Feature / Weights
envelope en_vs_q
ordering AB
effort low
English 'vs' with question mark — '{X} vs {Y}?'
verdictpicked Weights (second-offered)
· classifierB
· tiernone
response (200 chars)
# Weights vs Features (Machine Learning)
These are two fundamental but distinct concepts:
## Features
**What they are:** The input variables/attributes that describe your data.
- They come **from t
neighbors