Metric Tuple
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)
Metric Tuple has 4 facts recorded in Dontopedia across 1 reference, with 1 live disagreement.
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (1)
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.
returnsTupleReturns Tuple(1)
- Evaluate Function
ex:evaluate-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 |
|---|---|---|
| Contains Element | Accuracy Value | [1] |
| Contains Element | Precision Value | [1] |
| Contains Element | Recall Value | [1] |
| Contains Element | F1 Value | [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/42f279b2-a34b-446e-9204-29e263d7a929- full textbeam-chunktext/plain1 KB
doc:beam/42f279b2-a34b-446e-9204-29e263d7a929Show excerpt
from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score def evaluate(y_true, y_pred): acc = accuracy_score(y_true, y_pred) prec = precision_score(y_true, y_pred, average='weighted') …
See also
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