aimalz / proclam

PRObabilistic CLAssification Metrics for PLAsTiCC
Other
12 stars 7 forks source link

New written content describing new metrics #86

Closed aimalz closed 5 years ago

aimalz commented 5 years ago

Describe the additional metrics in subsections of Section 3 (Methods):

Deterministic metrics, with subsubsections for:

Probabilistic adaptations of deterministic metrics, with subsubsections for:

aimalz commented 5 years ago

The deterministic metrics are currently described briefly in section 3.1, but the revision can have section 3.1 just be "Deterministic metrics" and then have Accuracy, F1 Score, and Matthews Correlation Coefficient in a new section 3.1.1 "Classic deterministic metrics", the AUC metrics in a new section 3.1.2 "Probabilistic adaptations of deterministic metrics", and the science-motivated deterministic metrics that currently comprise section 3.1 moved to a new section 3.1.3.

mi-dai commented 5 years ago

@aimalz is the latest version of the paper in master? or where should I pull it from?

aimalz commented 5 years ago

@mi-dai I haven't updated the paper in a branch yet, so working from master is the correct choice.

aimalz commented 5 years ago

The paper has now been accepted for publication so we no longer need this issue. (-: