[DOC] modify text demo result

Learnware-LAMDA · Dec 23, 2023 · d8ff341 · d8ff341
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diff --git a/docs/_static/img/text_example_labeled_curves.png b/docs/_static/img/text_example_labeled_curves.png
diff --git a/docs/_static/img/text_labeled_curves.png b/docs/_static/img/text_labeled_curves.png
diff --git a/docs/start/exp.rst b/docs/start/exp.rst
@@ -143,17 +143,17 @@ Results
 
 The accuracy of search and reuse is presented in the table below:
 
-==================== ================================= =================================
- Top-1 Performance Job Selector Reuse Average Ensemble Reuse
-==================== ================================= =================================
- 0.859 +/- 0.051 0.844 +/- 0.053  0.858 +/- 0.051
-==================== ================================= =================================
+==================== ================================= ================================= ================================= =================================
+  Top-1 Reuse  Job Selector Reuse Average Ensemble Reuse Best in Market Average in Market
+==================== ================================= ================================= ================================= =================================
+  0.846 +/- 0.054  0.845 +/- 0.053 0.862 +/- 0.051 0.859 +/- 0.051 0.507 +/- 0.030
+==================== ================================= ================================= ================================= =================================
 
 * ``test_labeled``:
 
 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:
 
-.. image:: ../_static/img/text_example_labeled_curves.png
+.. image:: ../_static/img/text_labeled_curves.png
  :align: center
  :alt: Text Limited Labeled Data