{
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  "Package": "multiROC",
  "Title": "Calculating and Visualizing ROC and PR Curves Across Multi-Class\nClassifications",
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  "Authors@R": "c(person(\"Runmin\", \"Wei\", role = c(\"aut\", \"cre\"), email = \"runmin@hawaii.edu\"),  person(\"Jingye\", \"Wang\", role = \"aut\", email = \"jingyew@hawaii.edu\"), person(\"Wei\", \"Jia\", role = \"ctb\", email = \"wjia@cc.hawaii.edu\"))",
  "Description": "Tools to solve real-world problems with multiple classes\nclassifications by computing the areas under ROC and PR curve\nvia micro-averaging and macro-averaging. The vignettes of this\npackage can be found via\n<https://github.com/WandeRum/multiROC>. The methodology is\ndescribed in V. Van Asch (2013)\n<https://www.clips.uantwerpen.be/~vincent/pdf/microaverage.pdf>\nand Pedregosa et al. (2011)\n<http://scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html>.",
  "License": "GPL-3",
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      "title": "Area under ROC curve",
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      "title": "Multi-class classification PR",
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    },
    {
      "page": "multi_roc",
      "title": "Multi-class classification ROC",
      "topics": [
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    },
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      "title": "Generate ROC plotting data",
      "topics": [
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    },
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      "title": "Output of PR bootstrap confidence intervals",
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      ]
    },
    {
      "page": "pr_ci",
      "title": "PR bootstrap confidence intervals",
      "topics": [
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      ]
    },
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      "title": "Output of ROC bootstrap confidence intervals",
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    },
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      "page": "roc_ci",
      "title": "ROC bootstrap confidence intervals",
      "topics": [
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      ]
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