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  1. plot_multi_metric_evaluation.zip

    sample_score_mean = results["mean_%s_%s" % (sample, scorer)] sample_score_std...sample_score_std = results["std_%s_%s" % (sample, scorer)] ax.fill_between(...
    scikit-learn.org/stable/_downloads/535778bfbc9b4881da3e662bc2ea8484/plot_multi_metric_evaluation.zip
    Mon Jan 13 21:12:24 UTC 2025
      8.8K bytes
     
  2. plot_multi_metric_evaluation.ipynb

    sample_score_mean = results[\"mean_%s_%s\" % (sample, scorer)]\n sample_score_std...sample_score_std = results[\"std_%s_%s\" % (sample, scorer)]\n ax.fill_between(\n...
    scikit-learn.org/stable/_downloads/f57e1ee55d4c7a51949d5c26b3af07bb/plot_multi_metric_evaluation....
    Mon Jan 13 21:12:24 UTC 2025
      4.9K bytes
     
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