Skip to article frontmatterSkip to article content
Site not loading correctly?

This may be due to an incorrect BASE_URL configuration. See the MyST Documentation for reference.

The terms the chapters use, in the sense they use them.

TermMeaning here
ENSO, Niño 3.4El Niño–Southern Oscillation; the Niño 3.4 index is the anomaly of mean surface temperature over 5°S–5°N, 170°–120°W, the input here
SON, DJFSeptember–October–November (the autumn input) and December–January–February (the winter target)
forced responsethe externally forced path every ensemble member shares by calendar year (warming, and its precipitation trend); removed so a model reads ENSO, not the decade
precisionof the winters a model calls wet, the share that were wet
recallof the winters that were wet, the share the model called wet
AP (average precision)precision at each threshold of the model’s ranking, weighted by the recall gained there; a ranking with no skill scores the base rate
base ratethe share of winters that are wet; a classifier with no skill has precision equal to it
wet-call sharethe share of winters a classifier calls wet; a classifier with no skill has recall equal to it
ladder, rungthe candidate models in order of flexibility: rung 0 is three rules that fit nothing, rungs 1–3 are logistic regression, a decision tree and gradient boosting
trialone recorded change, scored against the incumbent on the same folds
incumbentthe model currently ahead; a trial replaces it only if the promotion rule says so
registerthe table of every trial, its paired-test results and its verdict
looksthe tests taken so far: two (recall, precision) per register row
Bonferroni line0.05 divided by the looks; a p below 0.05 but above it is a promotion under the uncorrected rule only