AI glossary: terms starting with W
11 terms starting with W, each defined the way the lesson that teaches it uses it, with a link to every lesson where it appears.
- walk-forward evaluation
Repeating a time-ordered test as the training cutoff advances.
Taught in- weighted average
Subgroup rates combined according to each group's own subgroup shares; an overall rate is one.
- weighted k-NN
Votes weighted by one over distance.
Taught in- weighting
Combining strata by each stratum's share of the source frame to estimate an overall figure.
Taught in- whisker
A line from a box edge to the most extreme observed value within the fence.
Taught in- whitespace
Spacing characters such as spaces, tabs and newlines.
Taught in- Wilson confidence interval
A score-based interval for a binary share.
Taught in- with replacement
Each source label remains available for every draw.
- without replacement
A selected unit leaves the available set.
Taught in- workflow
The ordered steps of a machine learning project: frame, collect, split, explore, baseline, model, evaluate, iterate, deploy, monitor.
Taught in- worst case
The most operations any input of size n needs: a linear search for an absent value compares with all n. Complexity is quoted for the worst case unless it says otherwise.
Taught in