benchopt / benchopt/benchmark_glm

Add Poisson regression / GLM benchmark

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#4 2 comments 0 reactions 0 assignees View on GitHub
Dominant language
Python
Stars
1
Forks
2
PR merge metrics
No merged PRs in 30d

Description

This is a great project. Currently, it focuses on classification and squared error problems. It would be very nice to have one benchmark for Poisson GLMs, see e.g. https://github.com/scikit-learn/scikit-learn/pull/26707 with the French Motor Third-Party Liability Claims dataset https://www.openml.org/d/41214.

Contributor guide

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Research direction

Start by reviewing the existing classification and squared-error benchmarks in this repository, then read scikit-learn PR 26707 and inspect the French Motor Third-Party Liability Claims dataset on OpenML (41214). Done means the project includes one Poisson GLM benchmark based on that dataset.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, scikit-learn
Domain
data, machine-learning
Issue type
Feature
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

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