compute_metrics
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
compute_metrics has 29 facts recorded in Dontopedia across 4 references, with 6 live disagreements.
Mostly:rdf:type(5), has parameter(5), calls(4)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (8)
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.
callsCalls(2)
- Train and Evaluate Model
ex:train-and-evaluate-model - Train and Evaluate Model
ex:train-and-evaluate-model
consistsOfConsists of(2)
- Metric Computation Pattern
ex:metric-computation-pattern - Workflow
ex:workflow
inverseCallsInverse Calls(2)
- Accuracy Score
ex:accuracy-score - F1 Score
ex:f1-score
describesDescribes(1)
- Code Comment 1
ex:code-comment-1
hasStepHas Step(1)
- Workflow
ex:workflow
Other facts (26)
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 |
|---|---|---|
| Rdf:type | Code Step | [1] |
| Rdf:type | Function | [2] |
| Rdf:type | Function | [3] |
| Rdf:type | Python Function | [4] |
| Rdf:type | Evaluation Function | [4] |
| Has Parameter | y_true | [3] |
| Has Parameter | y_pred | [3] |
| Has Parameter | average | [3] |
| Has Parameter | y_true | [4] |
| Has Parameter | y_pred | [4] |
| Calls | Accuracy Score | [2] |
| Calls | F1 Score Func | [2] |
| Calls | Accuracy Score | [4] |
| Calls | F1 Score | [4] |
| Returns | accuracy | [3] |
| Returns | f1 | [3] |
| Returns | accuracy | [4] |
| Returns | f1 | [4] |
| Computes | Accuracy | [2] |
| Computes | F1 Score | [2] |
| Used in | Train and Evaluate Model | [2] |
| Used in | Workflow | [2] |
| Uses | Scikit Learn | [2] |
| Parameter Default Value | weighted | [3] |
| Is Called by | Train and Evaluate Model | [3] |
| Inverse Calls | Train and Evaluate Model | [4] |
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 (4)
ctx:claims/beam/ebda2d07-c933-44d1-ba4e-dbff565d177a- full textbeam-chunktext/plain995 B
doc:beam/ebda2d07-c933-44d1-ba4e-dbff565d177aShow excerpt
### Example Code for Classification Task Here's an example of how you might evaluate a classification task using accuracy and F1 score in Python: ```python from sklearn.metrics import accuracy_score, f1_score, confusion_matrix # Predicti…
ctx:claims/beam/fe5b22b9-de5a-42a8-ae33-5d8f47d014d6- full textbeam-chunktext/plain1 KB
doc:beam/fe5b22b9-de5a-42a8-ae33-5d8f47d014d6Show excerpt
- The `compute_metrics` function computes accuracy and F1-score using Scikit-learn's `accuracy_score` and `f1_score`. 2. **Collect Data**: - We use `make_classification` to generate synthetic data for demonstration purposes. In a rea…
ctx:claims/beam/8c2e26ba-5617-43b4-8776-b4c36de619f1ctx:claims/beam/d375d85b-650d-469e-9f0b-11950f22f89a
See also
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