Store Scores
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
Store Scores has 4 facts recorded in Dontopedia across 1 reference.
Mostly:stores in(1), stores(1), follows(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (2)
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.
followsFollows(1)
- Return Mean Score
ex:return-mean-score
hasStepHas Step(1)
- Cross Validate Function
ex:cross-validate-function
Other facts (4)
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 |
|---|---|---|
| Stores in | Scores List | [1] |
| Stores | Accuracy Scores | [1] |
| Follows | Fit and Predict | [1] |
| Performs Action | Storage | [1] |
Timeline
Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
References (1)
ctx:claims/beam/2e6d4246-fcc3-4855-b040-d7674feb705a- full textbeam-chunktext/plain1 KB
doc:beam/2e6d4246-fcc3-4855-b040-d7674feb705aShow excerpt
2. **Loop Through Folds**: The `kf.split(X)` method generates indices for the training and validation sets. For each fold, the data is split into `X_train`, `X_val`, `y_train`, and `y_val`. 3. **Fit and Predict**: The model is fitted on th…
See also
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