ML Model Development
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ML Model Development has 2 facts recorded in Dontopedia across 1 reference.
Maturity scale
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partOfPart of(5)
- Advanced Scoring Models
ex:advanced-scoring-models - Performance Monitoring
ex:performance-monitoring - Prediction
ex:prediction - Scaling Features
ex:scaling-features - Training and Testing
ex:training-and-testing
followsFollows(1)
- ML Model Improvement
ex:ml-model-improvement
usedInUsed in(1)
- Meaningful Features
ex:meaningful-features
Other facts (1)
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References (1)
ctx:claims/beam/c84d032d-48c3-4aa5-80ba-9b23dcad000e- full textbeam-chunktext/plain1 KB
doc:beam/c84d032d-48c3-4aa5-80ba-9b23dcad000eShow excerpt
- In practice, you should use meaningful features derived from your feedback data. 2. **Advanced Scoring Models**: - The example uses a `GradientBoostingClassifier` for the scoring model. - You can experiment with different models…
See also
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