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…☆17Jun 13, 2018Updated 8 years ago
- Some implementations of data mining algorithms☆29Feb 3, 2018Updated 8 years ago
- ☆16Feb 6, 2026Updated 8 months ago
- Script to retrieve the vertices and faces from a GOCAD TS file for use in python processing☆12Mar 4, 2026Updated 7 months ago
- Cost-Sensitive Multi-Label Classification☆20Oct 29, 2017Updated 8 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆13Feb 1, 2022Updated 4 years ago
- The code of the experiments of the submitted paper "On the stability of Feature Selection" in Matlab, R and Python.☆19Mar 28, 2018Updated 8 years ago
- ☆12Jan 30, 2023Updated 3 years ago
- Key words: Bayesian analysis, Probabilistic programming, Data analysis, Bayesian machine learning... Using Python with its library PyMC3…☆10May 10, 2019Updated 7 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 6 years ago
- The PyTorch implementation of DANN (Domain-Adversarial Training of Neural Networks).☆10Dec 4, 2023Updated 2 years ago
- Utilities and examples of EEG analysis with Python☆15Apr 6, 2023Updated 3 years ago
- A deep learning project to classify brainwave signals.☆14Jan 27, 2019Updated 7 years ago
- Cost-Sensitive Learning / ReSampling / Weighting / Thresholding / BorderlineSMOTE / AdaCost / etc.☆110Jul 27, 2026Updated 2 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Code for "Self-Distillation as Instance-Specific Label Smoothing"☆15Oct 22, 2020Updated 5 years ago
- Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).☆39Oct 11, 2025Updated last year
- Tutorial on cost-sensitive boosting and calibrated AdaMEC.☆26May 5, 2017Updated 9 years ago
- A comprehensive Python and R-based toolkit for clustering and sorting electrophysiology data recorded using Intan RHD2132 chips. Original…☆10Mar 16, 2026Updated 6 months ago
- Companion code for Scheidt, C, Li, L, and Caers, J. K. Quantifying Uncertainty in Subsurface Systems, John Wiley & Sons, 2017.☆14Jul 19, 2019Updated 7 years ago
- An Open-Source GUI for CNN-based EEG Decoding and Model Interpretation☆20Sep 8, 2022Updated 4 years ago
- 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 2 years ago
- Signal Processing And Classification Environment in Python☆55May 25, 2018Updated 8 years ago
- Instance-based Vision Transformer for Subtyping of Papillary Renal Cell Carcinoma in Histopathological Image-MICCAI 2021☆15Dec 26, 2023Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- 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☆261Feb 5, 2024Updated 2 years ago
- Sparrow is a boosting algorithm implementation that is optimized for training on very large datasets and/or in the limited memory setting…☆21Jan 15, 2021Updated 5 years ago
- EEGNet based on PyTorch☆16Aug 28, 2020Updated 6 years ago
- Code for UAI 2019 paper "Domain Generalization via Multidomain Discriminant Analysis"☆14Aug 28, 2019Updated 7 years ago
- Learn R and Tidyverse for reproducible data analysis. Intro to data wrangling, intro to visualization with ggplot2,☆14Feb 19, 2024Updated 2 years ago
- Source code for the Kernelized General Fuzzy c-Means clustering algorithm☆14Oct 16, 2019Updated 6 years ago
- ☆11Jul 14, 2018Updated 8 years ago
- Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces (MEKT)☆47Feb 1, 2021Updated 5 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- ☆20Sep 19, 2022Updated 4 years ago
- Classifing the iris dataset with fuzzy logic, genetic algorithm and particle swarm optimization.☆10Nov 15, 2019Updated 6 years ago
- pynomo documentation☆18Oct 22, 2023Updated 2 years ago
- Uncertainty Estimation Using Deep Neural Network and Gradient Boosting Methods☆23Jun 1, 2021Updated 5 years ago
- Multi-Objective Reinforcement Learning sandbox☆12Dec 20, 2021Updated 4 years ago
- Parsing Science Toolkit☆27Nov 14, 2017Updated 8 years ago
- Personal Website for Ritvik Kharkar☆12Sep 5, 2026Updated last month