sklearn-expertsys

Decision rule classifier

A scikit-learn wrapper for interpretable classifiers based on decision rules

Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models

GitHub

489 stars
23 watching
72 forks
Language: Python
last commit: over 7 years ago
Linked from 3 awesome lists


Backlinks from these awesome lists:

Related projects:

Repository Description Stars
scikit-learn-contrib/skope-rules A Python machine learning module that generates logical rules to predict class labels with high precision 625
amueller/scipy_2015_sklearn_tutorial Tutorials and materials for learning machine learning with Python using popular libraries like scikit-learn. 576
tmadl/semisup-learn A framework for training semi-supervised machine learning models using various techniques 502
sergioburdisso/pyss3 A Python package implementing an interpretable machine learning model for text classification with visualization tools 336
scikit-multilearn/scikit-multilearn A Python module for multi-label learning tasks using various scientific Python packages and following the scikit-learn API. 921
camdavidsonpilon/decision-weights An analysis project exploring human decision-making under Prospect Theory using machine learning and natural language data from Mechanical Turkers. 33
lehy/ocaml-sklearn Enables machine learning with scikit-learn in OCaml 34
benedekrozemberczki/shapley An open-source Python library for evaluating and explaining the contribution of individual classifiers in machine learning ensembles. 218
tmadl/sklearn-random-bits-forest An implementation of a hybrid machine learning algorithm combining neural networks, boosting, and random forests. 9
djsutherland/skl-groups An extension of scikit-learn to operate on sets of features or obtain similarity matrices for use in machine learning 41
csinva/imodels An open-source package that provides interpretable machine learning models compatible with scikit-learn. 1,400
thomasp85/lime An R package for providing explanations of predictions made by black box classifiers. 485
scikit-learn/scikit-learn A comprehensive Python module for machine learning built on top of SciPy 60,210
usmanr149/classification-algorithm An educational resource providing hands-on examples and exercises for learning classification algorithms using Python. 2
larsmans/seqlearn A toolkit for building sequence classification models in Python 689