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cff-version: 1.2.0
message: 'To cite package "mccf1" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'mccf1: Creates the MCC-F1 Curve and Calculates the MCC-F1 Metric and the Best
  Threshold'
version: '1.1'
doi: 10.32614/CRAN.package.mccf1
abstract: The MCC-F1 analysis is a method to evaluate the performance of binary classifications.
  The MCC-F1 curve is more reliable than the Receiver Operating Characteristic (ROC)
  curve and the Precision-Recall (PR)curve under imbalanced ground truth. The MCC-F1
  analysis also provides the MCC-F1 metric that integrates classifier performance
  over varying thresholds, and the best threshold of binary classification.
authors:
- family-names: Cao
  given-names: Chang
  email: kirin.cao@mail.utoronto.ca
- family-names: Hoffman
  given-names: Michael
  email: michael.hoffman@utoronto.ca
- family-names: Chicco
  given-names: Davide
  email: davide.chicco@gmail.com
repository: https://cranhaven.r-universe.dev
repository-code: https://bitbucket.org/hoffmanlab/mccf1/
commit: eedb0010387d86643a16e1f58548aabb10832a0e
url: https://stackoverflow.com/questions/tagged/mccf1
date-released: '2019-11-11'
contact:
- family-names: Cao
  given-names: Chang
  email: kirin.cao@mail.utoronto.ca