Binary Classification Python Packages

lightautoml

Fast and customizable framework for automatic ML model creation (AutoML)

binclass-tools

The binclass-tools package contains a set of Python wrappers and interactive plots that facilitate the analysis of binary classification problems.

bokbokbok

Custom Losses and Metrics for XGBoost, LightGBM

dualpredictor

Package offers simultaneous regression and binary classification especially for educational data

pat2vec

A comprehensive Python package for healthcare data engineering, designed to extract, transform, and feature engineer patient data from CogStack-based electronic health record (EHR) datalakes. It provides tools for cohort building, batch data processing, clinical note analysis, and creating machine learning-ready datasets.

traval

Python package for applying automatic error detection algorithms to time series. Create custom error detection algorithms to support data validation workflows.

fasttrees

A fast and frugal tree classifier for sklearn

fast-dataset-cleaner

A simple tool for cleaning image datasets at a glance.

artificial-detection

Python framework for artificial text detection: NLP approaches to compare natural text against generated by neural networks.

interactive-classification-metrics

Interactive classification metrics

binsel

Feature selection for hard voting classifier and NN sparse weight initialization.

imlightgbm

LightGBM for handling label-imbalanced data with focal and weighted loss functions in binary and multiclass classification

dutchdraw

The Dutch Draw: Constructing a Universal Baseline for Binary Prediction Models

m3gp

An easy-to-use scikit-learn inspired implementation of the Multidimensional Multiclass Genetic Programming with Multidimensional Populations (M3GP) algorithm

py-mcc-f1

MCC-F1 Curve

litemort

A memory efficient GBDT on adaptive distributions. Much faster than LightGBM with higher accuracy. Implicit merge operation.

oll

Online machine learning algorithms (based on OLL C++ library)

maxjoshua

Feature selection for hard voting classifier and NN sparse weight initialization.

fca-lazy-clf

FCA lazy classifier