MAPIE VS mlscorecheck

Compare MAPIE vs mlscorecheck and see what are their differences.

MAPIE

A scikit-learn-compatible module for estimating prediction intervals. (by scikit-learn-contrib)

mlscorecheck

Testing the consistency of binary classification performance scores reported in papers (by FalseNegativeLab)
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MAPIE mlscorecheck
1 1
1,164 11
2.7% -
9.7 9.3
5 days ago about 2 months ago
Jupyter Notebook Jupyter Notebook
BSD 3-clause "New" or "Revised" License MIT License
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MAPIE

Posts with mentions or reviews of MAPIE. We have used some of these posts to build our list of alternatives and similar projects.
  • How to calculate confidence level of a regression model?
    1 project | /r/MLQuestions | 16 Sep 2022
    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?

mlscorecheck

Posts with mentions or reviews of mlscorecheck. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing MAPIE and mlscorecheck you can also consider the following projects:

data-science-notes - Notes of IBM Data Science Professional Certificate Courses on Coursera

DoubleFloats.jl - math with more good bits

pycaret - An open-source, low-code machine learning library in Python

FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

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

PyABSA - Sentiment Analysis, Text Classification, Text Augmentation, Text Adversarial defense, etc.;

F1_Quali_Prediction - Finding explainable models to predict Formula 1 Qualifying Results

60-Days-of-Data-Science-and-ML - 60 Days of Data Science and ML

gpu-benches - collection of benchmarks to measure basic GPU capabilities