mlscorecheck
Testing the consistency of binary classification performance scores reported in papers (by FalseNegativeLab)
MAPIE
A scikit-learn-compatible module for estimating prediction intervals. (by scikit-learn-contrib)
mlscorecheck | MAPIE | |
---|---|---|
1 | 1 | |
11 | 1,161 | |
- | 2.4% | |
9.3 | 9.7 | |
about 2 months ago | 10 days ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | BSD 3-clause "New" or "Revised" License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
mlscorecheck
Posts with mentions or reviews of mlscorecheck.
We have used some of these posts to build our list of alternatives
and similar projects.
MAPIE
Posts with mentions or reviews of MAPIE.
We have used some of these posts to build our list of alternatives
and similar projects.
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How to calculate confidence level of a regression model?
Did some research and apparently there are number of ways and regression seems to be quite hard and no straightforward answer. Came across MAPIE (https://github.com/scikit-learn-contrib/MAPIE) which predicts a upper and lower range of values.. how can I then calculate the confidence for a given prediction?
What are some alternatives?
When comparing mlscorecheck and MAPIE you can also consider the following projects:
DoubleFloats.jl - math with more good bits
data-science-notes - Notes of IBM Data Science Professional Certificate Courses on Coursera
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
pycaret - An open-source, low-code machine learning library in Python
tsai - Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai