Evaluate Function
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)
Evaluate Function has 23 facts recorded in Dontopedia across 3 references, with 3 live disagreements.
Mostly:calls function(4), returns(4), has parameter(2)
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.
isExternalDependencyIs External Dependency(1)
- Sklearn Metrics
ex:sklearn-metrics
Other facts (23)
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 |
|---|---|---|
| Calls Function | Accuracy Score | [3] |
| Calls Function | Precision Score | [3] |
| Calls Function | Recall Score | [3] |
| Calls Function | F1 Score | [3] |
| Returns | Accuracy Value | [3] |
| Returns | Precision Value | [3] |
| Returns | Recall Value | [3] |
| Returns | F1 Value | [3] |
| Has Parameter | Y True | [3] |
| Has Parameter | Y Pred | [3] |
| Uses Broken Dataloader | true | [1] |
| Inherits Bug From | Create Dataloader Function | [1] |
| Uses Broken Component | Create Dataloader | [2] |
| Rdf:type | Evaluation Function | [3] |
| Inverse of | Evaluation Metric Computation | [3] |
| Returns Tuple | Metric Tuple | [3] |
| Is Utility Function | True | [3] |
| Computes Metrics | Model Performance | [3] |
| Computes Accuracy | Acc | [3] |
| Computes Precision | Prec | [3] |
| Computes Recall | Rec | [3] |
| Computes F1 | F1 | [3] |
| Is for Model Evaluation | True | [3] |
Timeline
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References (3)
ctx:discord/blah/resources/part-43ctx:discord/blah/resources/43- full textresources-43text/plain3 KB
doc:agent/resources-43/a256cf99-d471-4271-ae77-eb840b3f966aShow excerpt
[2026-02-28 16:44] xenonfun: (files: 833a969e-5e24-435d-9e4e-43c2cbc3e723.png) [2026-02-28 23:54] xenonfun: `mlx-community/Qwen3.5-35B-A3B-8bit` test: The model finished. Here's my grade: --- Grade: 6.5 / 10 What it got right -…
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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