v0.1.7

StatisticalMeasures v0.1.7

Diff since v0.1.6

• balanced_accuracy can now be called on a confusion matrix (#28)

Merged pull requests:

• Define balanced accuracy for confusion matrices (#28) (@tiemvanderdeure)
• For a 0.1.7 release (#29) (@ablaom)

v0.1.6

StatisticalMeasures v0.1.6

Diff since v0.1.5

Merged pull requests:

• For a 0.1.6 release (#24) (@ablaom)

v0.1.5

StatisticalMeasures v0.1.5

Diff since v0.1.4

Merged pull requests:

• performance optimizations for Confusion Matrix (#21) (@tiemvanderdeure)
• Fix can_report_unaggregated trait for LogScore and BrierScore (#22) (@ablaom)
• For a 0.1.5 release (#23) (@ablaom)

Closed issues:

• Add probability of correct classification (PCC) as an alias for balanced_accuracy (#15)

v0.1.4

StatisticalMeasures v0.1.4

Diff since v0.1.3

Merged pull requests:

• Regenerate docs. No new release. (#11) (@ablaom)
• get rid of problematic randomness in a test (#12) (@ablaom)
• CompatHelper: add new compat entry for Statistics at version 1, (keep existing compat) (#16) (@github-actions[bot])
• Fix a typo in finite.jl when evaluating F1 score with confusion matrix (#18) (@liuyxpp)
• For a 0.1.4 release (#20) (@ablaom)

Closed issues:

• How to suppress the warning message for binary classification metrics? (#19)

v0.1.3

StatisticalMeasures v0.1.3

Diff since v0.1.2

Merged pull requests:

• enable beter confusion matrix display (#9) (@Roeya)

v0.1.2

StatisticalMeasures v0.1.2

Diff since v0.1.1

Merged pull requests:

• CompatHelper: bump compat for LossFunctions to 0.11, (keep existing compat) (#6) (@github-actions[bot])
• Relax overly restrictive observation scitype for finite multiclass measures (#7) (@ablaom)

v0.1.1

StatisticalMeasures v0.1.1

Diff since v0.1.0

v0.1.0

StatisticalMeasures v0.1.0

Merged pull requests:

• For a 0.1.0 release (#1) (@ablaom)
• For a 0.1.0 release - Take II (#2) (@ablaom)