CostSensitiveClassification Library in Python
☆202Jul 29, 2020Updated 6 years ago
Alternatives and similar repositories for CostSensitiveClassification
Users that are interested in CostSensitiveClassification are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Cost-Sensitive Support Vector Machines☆33Apr 27, 2016Updated 10 years ago
- (Python, R) Cost-sensitive multiclass classification (Weighted-All-Pairs, Filter-Tree & others)☆49May 9, 2025Updated last year
- Theano implementation of Cost-Sensitive Deep Neural Networks☆25Jun 1, 2018Updated 8 years ago
- Tutorial on cost-sensitive boosting and calibrated AdaMEC.☆26May 5, 2017Updated 9 years ago
- Profit Driven Decision Trees for Churn Prediction☆10Sep 20, 2021Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- P. Domingos proposed a principled method for making an arbitrary classifier cost-sensitive by wrapping a cost-minimizing procedure around…☆39May 20, 2019Updated 7 years ago
- Code for the paper "Predict-then-optimize or predict-and-optimize? An empirical evaluation of cost-sensitive learning strategies".☆19Feb 7, 2024Updated 2 years ago
- Python-based implementations of algorithms for learning on imbalanced data.☆240Jan 29, 2022Updated 4 years ago
- ☆91Jan 10, 2020Updated 6 years ago
- Implementation of deep random forests. Also contains random subspace forests and X-of-N forests.☆11Dec 20, 2022Updated 3 years ago
- This repository implements Pozzolo, et al., (2015)'s probability calibration for imbalanced data.☆13Dec 3, 2024Updated last year
- ☆15Feb 15, 2023Updated 3 years ago
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆7,135Jun 29, 2026Updated 4 months ago
- Cost-Sensitive Multi-Label Classification☆20Oct 29, 2017Updated 9 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.
- Cost-sensitive multiclass classification with Adaptive Regularization of Weights☆16Sep 12, 2016Updated 10 years ago
- Causal Simulations for Uplift Modeling☆12Jan 22, 2020Updated 6 years ago
- A feature selection method based on modified binary ant colony optimization algorithm☆11Aug 2, 2019Updated 7 years ago
- A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection fea…☆691Jan 3, 2024Updated 2 years ago
- Graduation Project with one team member - Feature Selection by using Binary Partical Swarm Optimization with Opposition Based Learning☆13Oct 4, 2019Updated 7 years ago
- SOUL: Scala Oversampling and Undersampling Library.☆13Apr 11, 2019Updated 7 years ago
- Implementation of the Rotation Forest by Rodriques et al. 2006☆28Feb 6, 2024Updated 2 years ago
- Remove Tomek Links from your data.☆30Nov 4, 2017Updated 9 years ago
- Gopalan, P., Ruiz, F. J., Ranganath, R., & Blei, D. M. (2014). Bayesian Nonparametric Poisson Factorization for Recommendation Systems. I…☆15Jul 10, 2014Updated 12 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- A general method for training cost-sensitive robust classifier☆22May 29, 2019Updated 7 years ago
- Online Random Bit Regression with FTRL-Proximal in Python☆75Nov 24, 2015Updated 10 years ago
- Interactive book on Statistical NLP☆31Dec 7, 2016Updated 9 years ago
- A Python library for dynamic classifier and ensemble selection☆507Jan 20, 2026Updated 9 months ago
- ☆10Apr 27, 2018Updated 8 years ago
- Topic analysis using RSM or PVDM.☆11Sep 29, 2014Updated 12 years ago
- A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.☆421Sep 12, 2026Updated last month
- Lightweight framework for learning with side information (aka privileged information), based on Theano and Lasagne. For more info on lear…☆17Jul 12, 2016Updated 10 years ago
- Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.☆125Jul 31, 2019Updated 7 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.
- InfiniteBoost: building infinite ensembles with gradient descent☆182Sep 17, 2018Updated 8 years ago
- Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data☆503Nov 8, 2021Updated 4 years ago
- The source codes for our paper submitted to Neurocomputing in 2017. We propose a linear label propagation method (LPLNP method) to predic…☆18Jun 5, 2017Updated 9 years ago
- Predict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text…☆18Nov 4, 2017Updated 9 years ago
- A fast xgboost feature selection algorithm☆231Jun 30, 2026Updated 4 months ago
- ☆192Nov 3, 2017Updated 9 years ago
- Adaptative Hybrid Extreme Rotation Forest (AdaHERF)☆33May 3, 2016Updated 10 years ago