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  "Title": "Creates the MCC-F1 Curve and Calculates the MCC-F1 Metric and\nthe Best Threshold",
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  "Date": "2019-11-11",
  "Authors@R": "c(person(\"Chang\", \"Cao\", role = c(\"aut\", \"cre\"),\nemail = \"kirin.cao@mail.utoronto.ca\"),\nperson(\"Michael\", \"Hoffman\", role = \"aut\", email = \"michael.hoffman@utoronto.ca\"),\nperson(\"Davide\", \"Chicco\", role = \"aut\",\nemail = \"davide.chicco@gmail.com\"))",
  "Maintainer": "Chang Cao <kirin.cao@mail.utoronto.ca>",
  "Description": "The MCC-F1 analysis is a method to evaluate the\nperformance of binary classifications. The MCC-F1 curve is more\nreliable than the Receiver Operating Characteristic (ROC) curve\nand the Precision-Recall (PR)curve under imbalanced ground\ntruth. The MCC-F1 analysis also provides the MCC-F1 metric that\nintegrates classifier performance over varying thresholds, and\nthe best threshold of binary classification.",
  "License": "GPL (>= 2)",
  "URL": "https://bitbucket.org/hoffmanlab/mccf1/",
  "BugReports": "https://stackoverflow.com/questions/tagged/mccf1",
  "RoxygenNote": "6.0.1",
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    "User": "root"
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