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@@ -143,17 +143,17 @@ Results |
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The accuracy of search and reuse is presented in the table below: |
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==================== ================================= ================================= |
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Top-1 Performance Job Selector Reuse Average Ensemble Reuse |
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==================== ================================= ================================= |
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0.859 +/- 0.051 0.844 +/- 0.053 0.858 +/- 0.051 |
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==================== ================================= ================================= |
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==================== ================================= ================================= ================================= ================================= |
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Top-1 Reuse Job Selector Reuse Average Ensemble Reuse Best in Market Average in Market |
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==================== ================================= ================================= ================================= ================================= |
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0.846 +/- 0.054 0.845 +/- 0.053 0.862 +/- 0.051 0.859 +/- 0.051 0.507 +/- 0.030 |
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==================== ================================= ================================= ================================= ================================= |
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* ``test_labeled``: |
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We present the change curves in classification error rates for both the user's self-trained model and the multiple learnware reuse(EnsemblePrune), showcasing their performance on the user's test data as the user's training data increases. The average results across 10 users are depicted below: |
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.. image:: ../_static/img/text_example_labeled_curves.png |
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.. image:: ../_static/img/text_labeled_curves.png |
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:align: center |
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:alt: Text Limited Labeled Data |
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