# Train the model
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# Train the model has 8 facts recorded in Dontopedia across 2 references.
Mostly:rdf:type(2), text(1), comments(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedOther facts (7)
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 Comment | [1] |
| Rdf:type | Code Comment | [2] |
| Text | Train the model | [1] |
| Comments | Training Loop | [1] |
| Describes | Model Training | [2] |
| Precedes | Model Training | [2] |
| Comment Type | instructional | [2] |
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References (2)
ctx:claims/beam/66120f60-83ce-466d-9a19-6cadefd30586ctx:claims/beam/b3bf4b36-b6fb-4f89-a967-2ebf362c0106- full textbeam-chunktext/plain1 KB
doc:beam/b3bf4b36-b6fb-4f89-a967-2ebf362c0106Show excerpt
# Train the model model = SparseModel() model.fit(train_df) # Make predictions predictions = model.predict(test_df) # Calculate the recall score recall = recall_score(test_df['label'], predictions) print(f'Recall score: {recall:.3f}') ```…
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