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.

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.

dualpredictor

Package offers simultaneous regression and binary classification especially for educational data

bokbokbok

Custom Loss Functions and Evaluation Metrics for XGBoost and LightGBM

traval

:chart_with_upwards_trend: Tools for applying automatic error detection schemes to timeseries

fasttrees

A fast and frugal tree classifier for sklearn

imlightgbm

LightGBM for label-imbalanced data with focal and weighted loss function

artificial-detection

Python framework for artificial text detection with NLP approaches.

binsel

Feature selection for Hard Voting classifier

m3gp

Python implementation of M3GP

dutchdraw

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

py-mcc-f1

MCC-F1 curve implementation in Python

fast-dataset-cleaner

A simple tool for cleaning image datasets at a glance.

interactive-classification-metrics

Get an intuitive sense for the ROC curve and other binary classification metrics with interactive visualization.

litemort

Fastest gradient boosting library with higher accuracy

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