one fable-low hijack cell
pair bias / variance
envelope en_vs_q
ordering BA
effort low
English 'vs' with question mark — '{X} vs {Y}?'
verdictpicked variance (second-offered)
· classifierB
· tiernone
response (200 chars)
# Bias vs. Variance
These are two sources of error in machine learning models, and understanding their tradeoff is fundamental.
## Bias
**Error from overly simplistic assumptions** about the data.
neighbors