P. Domingos proposed a principled method for making an arbitrary classifier cost-sensitive by wrapping a cost-minimizing procedure around it. The procedure, called MetaCost, treats the underlying classifier as a black box, requiring no knowledge of its functioning or change to it.
☆39May 20, 2019Updated 7 years ago
Alternatives and similar repositories for MetaCost
Users that are interested in MetaCost are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This repo contains implementation of advanced ML techniques. Includes model ensembles, cost-sensitive learning and dealing with class imb…☆18Jun 13, 2018Updated 7 years ago
- ☆16Feb 6, 2026Updated 4 months ago
- Forecasting for Istanbul Stock Exchange with ANFIS and SVM based on Genetic and Ant Colony Algorithm for Parameter Optimization☆16Dec 11, 2025Updated 6 months ago
- Cost-Sensitive Multi-Label Classification☆20Oct 29, 2017Updated 8 years ago
- This project attacked widely-used EEG spellers, e.g., P300 spellers and SSVEP spellers, with adversarial perturbation templates. We cons…☆14Jul 14, 2020Updated 5 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- The PyTorch implementation of DANN (Domain-Adversarial Training of Neural Networks).☆10Dec 4, 2023Updated 2 years ago
- Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).☆39Oct 11, 2025Updated 8 months ago
- Cost-Sensitive Learning / ReSampling / Weighting / Thresholding / BorderlineSMOTE / AdaCost / etc.☆110Dec 16, 2020Updated 5 years ago
- A library of fuzzy rough machine learning algorithms☆30May 19, 2026Updated 3 weeks ago
- A general method for training cost-sensitive robust classifier☆22May 29, 2019Updated 7 years ago
- Rank Aggregation Algorithms☆13Jul 22, 2014Updated 11 years ago
- Python package to provide utilities for NHS Numbers, including validity checks, normalisation, and generation.☆13Apr 27, 2026Updated last month
- Code and Word2Vec embeddings of LOINC codes for KDD 2019 DSHealth paper "Evaluation of Embeddings of Laboratory Test Codes for Patients a…☆11Jun 13, 2024Updated last year
- Python implementation of Adaptive Rejection Sampling☆15May 12, 2022Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆32Jun 6, 2020Updated 6 years ago
- Uncertainty-aware classification.☆17Jun 28, 2022Updated 3 years ago
- Transfer Learning☆10Aug 3, 2018Updated 7 years ago
- Regularized and Pruned Extreme Learning Machines in R☆11Nov 19, 2016Updated 9 years ago
- [ICDE'20] ⚖️ A general, efficient ensemble framework for imbalanced classification. | 泛用，高效，鲁棒的类别不平衡学习框架☆260Feb 5, 2024Updated 2 years ago
- EEGNet based on PyTorch☆16Aug 28, 2020Updated 5 years ago
- Code for UAI 2019 paper "Domain Generalization via Multidomain Discriminant Analysis"☆14Aug 28, 2019Updated 6 years ago
- A PyTorch implementation for Adversarial Discriminative Domain Adaptation.☆15Dec 5, 2018Updated 7 years ago
- ☆11Jul 14, 2018Updated 7 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Functions for various methods to rank assets☆17Feb 20, 2013Updated 13 years ago
- ☆11Jul 31, 2020Updated 5 years ago
- A comprehensive Python and R-based toolkit for clustering and sorting electrophysiology data recorded using Intan RHD2132 chips. Original…☆10Mar 16, 2026Updated 2 months ago
- Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces (MEKT)☆47Feb 1, 2021Updated 5 years ago
- D-vine quantile regression☆11Dec 9, 2025Updated 6 months ago
- MATLAB Implementation of Scatter Component Analysis (SCA) for Domain Generalization☆21Jun 2, 2019Updated 7 years ago
- EE6401 Advanced Digital Signal Processing☆18Jan 14, 2021Updated 5 years ago
- Solve portfolio optimization problems using NSGA2 algorithm☆37Nov 9, 2018Updated 7 years ago
- ☆14Nov 17, 2023Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆22Oct 29, 2019Updated 6 years ago
- ☆18Sep 15, 2020Updated 5 years ago
- This repository contains codes for Timeline model☆10Dec 18, 2018Updated 7 years ago
- R interface to CUDA libraries☆22Jul 27, 2016Updated 9 years ago
- Implementation of our SIGIR 2017 paper : "Multitask Learning for Fine-Grained Twitter Sentiment Analysis"☆10May 1, 2018Updated 8 years ago
- High Frequency Time series Anomaly Detection using Self Organizing Maps (SOM) which is based on Competitive Learning a variant of the Neu…☆11Jul 16, 2018Updated 7 years ago
- Implements PyTorch model which updates SPD weights on Riemannian Manifold. Based on Huang, Z., & Van Gool, L. (2016). A Riemannian Netwo…☆12Mar 8, 2019Updated 7 years ago