make_classification
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
make_classification has 34 facts recorded in Dontopedia across 4 references, with 5 live disagreements.
34 facts·8 predicates·4 sources·5 in dispute
Mostly:has parameter(10), parameter value(5), has value(5)
Maturity scale
raw canonical shape-checked rule-derived certifiedHas Parameterin disputehasParameter
- n_samples[3]all time · 8c2e26ba 5617 43b4 8776 B4c36de619f1
- n_features[3]all time · 8c2e26ba 5617 43b4 8776 B4c36de619f1
- n_informative[3]all time · 8c2e26ba 5617 43b4 8776 B4c36de619f1
- n_classes[3]all time · 8c2e26ba 5617 43b4 8776 B4c36de619f1
- random_state[3]all time · 8c2e26ba 5617 43b4 8776 B4c36de619f1
- n_samples[4]all time · D375d85b 650d 469e 9f0b 11950f22f89a
- n_features[4]all time · D375d85b 650d 469e 9f0b 11950f22f89a
- n_informative[4]all time · D375d85b 650d 469e 9f0b 11950f22f89a
- n_classes[4]all time · D375d85b 650d 469e 9f0b 11950f22f89a
- random_state[4]all time · D375d85b 650d 469e 9f0b 11950f22f89a
Inbound 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.
describesDescribes(1)
- Code Comment 2
ex:code-comment-2
generatedByGenerated by(1)
- Synthetic Data
ex:synthetic-data
isUsedByIs Used by(1)
- Sklearn
ex:sklearn
sourceSource(1)
- Data Flow
ex:data-flow
usedInUsed in(1)
- Random State
ex:random-state
usesUses(1)
- Collect Data
ex:collect-data
Other facts (21)
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.
21 facts
| Predicate | Value | Ref |
|---|---|---|
| Parameter Value | 1000 | [3] |
| Parameter Value | 20 | [3] |
| Parameter Value | 15 | [3] |
| Parameter Value | 2 | [3] |
| Parameter Value | 42 | [3] |
| Has Value | 1000 | [4] |
| Has Value | 20 | [4] |
| Has Value | 15 | [4] |
| Has Value | 2 | [4] |
| Has Value | 42 | [4] |
| Rdf:type | Function | [1] |
| Rdf:type | Function | [2] |
| Rdf:type | Function | [3] |
| Rdf:type | Python Function | [4] |
| Returns | X | [3] |
| Returns | y | [3] |
| Returns | X | [4] |
| Returns | y | [4] |
| Generates | Synthetic Data | [2] |
| Generator for | Synthetic Data | [2] |
| 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.
—
typebeam/8c98e67e-181b-4bd3-959b-a984a9e85208
ex:Function
—
labelbeam/8c98e67e-181b-4bd3-959b-a984a9e85208
make_classification
—
typebeam/fe5b22b9-de5a-42a8-ae33-5d8f47d014d6
ex:Function
—
labelbeam/fe5b22b9-de5a-42a8-ae33-5d8f47d014d6
make_classification
—
generatesbeam/fe5b22b9-de5a-42a8-ae33-5d8f47d014d6
ex:synthetic-data
—
generatorForbeam/fe5b22b9-de5a-42a8-ae33-5d8f47d014d6
ex:synthetic-data
—
typebeam/8c2e26ba-5617-43b4-8776-b4c36de619f1
ex:Function
—
hasParameterbeam/8c2e26ba-5617-43b4-8776-b4c36de619f1
n_samples
—
parameterValuebeam/8c2e26ba-5617-43b4-8776-b4c36de619f1
1000
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hasParameterbeam/8c2e26ba-5617-43b4-8776-b4c36de619f1
n_features
—
parameterValuebeam/8c2e26ba-5617-43b4-8776-b4c36de619f1
20
—
hasParameterbeam/8c2e26ba-5617-43b4-8776-b4c36de619f1
n_informative
—
parameterValuebeam/8c2e26ba-5617-43b4-8776-b4c36de619f1
15
—
hasParameterbeam/8c2e26ba-5617-43b4-8776-b4c36de619f1
n_classes
—
parameterValuebeam/8c2e26ba-5617-43b4-8776-b4c36de619f1
2
—
hasParameterbeam/8c2e26ba-5617-43b4-8776-b4c36de619f1
random_state
—
parameterValuebeam/8c2e26ba-5617-43b4-8776-b4c36de619f1
42
—
returnsbeam/8c2e26ba-5617-43b4-8776-b4c36de619f1
X
—
returnsbeam/8c2e26ba-5617-43b4-8776-b4c36de619f1
y
—
typebeam/d375d85b-650d-469e-9f0b-11950f22f89a
ex:PythonFunction
—
labelbeam/d375d85b-650d-469e-9f0b-11950f22f89a
make_classification
—
hasParameterbeam/d375d85b-650d-469e-9f0b-11950f22f89a
n_samples
—
hasParameterbeam/d375d85b-650d-469e-9f0b-11950f22f89a
n_features
—
hasParameterbeam/d375d85b-650d-469e-9f0b-11950f22f89a
n_informative
—
hasParameterbeam/d375d85b-650d-469e-9f0b-11950f22f89a
n_classes
—
hasParameterbeam/d375d85b-650d-469e-9f0b-11950f22f89a
random_state
—
returnsbeam/d375d85b-650d-469e-9f0b-11950f22f89a
X
—
returnsbeam/d375d85b-650d-469e-9f0b-11950f22f89a
y
—
hasValuebeam/d375d85b-650d-469e-9f0b-11950f22f89a
1000
—
hasValuebeam/d375d85b-650d-469e-9f0b-11950f22f89a
20
—
hasValuebeam/d375d85b-650d-469e-9f0b-11950f22f89a
15
—
hasValuebeam/d375d85b-650d-469e-9f0b-11950f22f89a
2
—
hasValuebeam/d375d85b-650d-469e-9f0b-11950f22f89a
42
—
inverseCallsbeam/d375d85b-650d-469e-9f0b-11950f22f89a
ex:train-and-evaluate-model
References (4)
4 references
ctx:claims/beam/8c98e67e-181b-4bd3-959b-a984a9e85208- full textbeam-chunktext/plain1 KB
doc:beam/8c98e67e-181b-4bd3-959b-a984a9e85208Show excerpt
Collect or generate the data you will use to evaluate your metrics. This could be labeled data for classification tasks or any other relevant data for your specific use case. ### Step 3: Implement Automated Testing Use Scikit-learn to trai…
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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