Scikit-learn Library Imports
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)
Scikit-learn Library Imports has 9 facts recorded in Dontopedia across 2 references, with 3 live disagreements.
Maturity scale
raw canonical shape-checked rule-derived certifiedOther facts (8)
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 |
|---|---|---|
| Includes | Model Selection Module | [2] |
| Includes | Metrics Module | [2] |
| Includes | Linear Models Module | [2] |
| Includes | Feature Extraction Module | [2] |
| Rdf:type | Library Imports | [1] |
| Rdf:type | Library Imports | [2] |
| Imports | Random Forest Classifier | [1] |
| Imports | Accuracy Score | [1] |
Timeline
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References (2)
ctx:claims/beam/8951974a-470b-4a56-8030-ad3ac43f8c5f- full textbeam-chunktext/plain1 KB
doc:beam/8951974a-470b-4a56-8030-ad3ac43f8c5fShow excerpt
from sklearn.ensemble import RandomForestClassifier from sklearn.metrics import accuracy_score # Assuming I have a DataFrame with document types and features df = pd.read_csv('documents.csv') # Split data into training and testing sets X_…
ctx:claims/beam/f23ba10e-5767-47e9-84b0-112f567f31bc
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