Skip to content

Optimizing recall calculation for micro-averaging #8126

@ndomar

Description

@ndomar

Description

Calculating recall using micro-averaging needs to be optimized for large scale dense arrays.

Steps/Code to Reproduce

from sklearn.metrics import recall_score

recall = recall_score(actual, predictions, average='micro')

Versions

Darwin-15.5.0-x86_64-i386-64bit
Python 3.5.2 |Anaconda custom (x86_64)| (default, Jul 2 2016, 17:52:12)
[GCC 4.2.1 Compatible Apple LLVM 4.2 (clang-425.0.28)]
NumPy 1.11.1
SciPy 0.18.1

Metadata

Metadata

Assignees

No one assigned

    Type

    No type

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions