Stratification
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
Stratification has 2 facts recorded in Dontopedia across 1 reference.
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (5)
Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.
isBasisForIs Basis for(2)
- Document Sizes
ex:document-sizes - Document Types
ex:document-types
hasComponentHas Component(1)
- Stratified Sampling With Weighted Averages
ex:stratified-sampling-with-weighted-averages
resultOfResult of(1)
- Balanced Class Distribution
ex:balanced_class_distribution
usesTechniqueUses Technique(1)
- Data Splitting
ex:data_splitting
Other facts (2)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
| Predicate | Value | Ref |
|---|---|---|
| Purpose | Balanced Class Distribution | [1] |
| Applied to | Train Test Split | [1] |
Timeline
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References (1)
ctx:claims/beam/0956e934-046c-45ee-94d8-496a65473dfc- full textbeam-chunktext/plain1 KB
doc:beam/0956e934-046c-45ee-94d8-496a65473dfcShow excerpt
y_pred_cv = model.predict(X_val_cv) scores.append(accuracy_score(y_val_cv, y_pred_cv)) print(f"Cross-validation scores: {scores}") print(f"Mean CV score: {np.mean(scores):.4f}") ``` ### Explanation 1. **Data Splitting**: Split th…
See also
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