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New function: “balancedaccuracy” - implements the Starovoitov-Golub sine-based accuracy metrics, specifically designed for classification with imbalanced data.
New features: the “wconfusionmatrix” and “weightmatrix” functions now include two additional weighting schemes “sin” and “tanh” - based on the sinus and hyperbolic tangent functions, which allow for even greater customization of weights assigned to classes.
Bugfix: The “interval” weighting scheme under the “wconfusionmatrix” and “weightmatrix” functions has been fixed. It previously produced inaccurate results when run with matrix dimensions greater than 5.
Improvements: Vignette updated to include additional examples and improvements in formatting and display of results.
This is the initial release.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.