sbuschjaeger / PyPruning
Python code to prune ensembles
☆12Updated 3 years ago
Alternatives and similar repositories for PyPruning:
Users that are interested in PyPruning are comparing it to the libraries listed below
- A python implementation of a genetic algorithm based approach for cost sensitive learning☆8Updated 5 years ago
- Wrapper Based feature selection using Particle Swarm Optimization☆12Updated 5 years ago
- Online Streaming Feature Selection☆26Updated 2 months ago
- Our implementations of the Multi-class Imbalance learning algorithms (for the KBS paper)☆46Updated 6 years ago
- Unsupervised Feature Selection based on Adaptive Similarity Learning and Subspace Clustering☆14Updated 3 years ago
- ☆15Updated 3 years ago
- Fast Correlation-Based Feature Selection☆31Updated 7 years ago
- Multi-objective evolutionary algorithms for feature selection☆10Updated 3 years ago
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆43Updated 2 years ago
- MatLab implementation of W-QEISS, F-QEISS and W-MOSS: three algorithms for the selection of (quasi) equally informative subsets☆30Updated last year
- pyCausalFS：A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification☆68Updated 4 years ago
- Infinite Feature Selection: a Graph-based Feature Filtering Approach☆39Updated 8 months ago
- P. Domingos proposed a principled method for making an arbitrary classifier cost-sensitive by wrapping a cost-minimizing procedure around…☆39Updated 5 years ago
- A graph clustering method with ant colony optimization for feature selection☆12Updated 4 years ago
- Oblique Decision Tree in Python☆18Updated 3 years ago
- The code of the experiments of the submitted paper "On the stability of Feature Selection" in Matlab, R and Python.☆17Updated 7 years ago
- [INTERSPEECH 2012] Feature Selection in High-Dimensional Classification☆19Updated 9 years ago
- The code of the AAAI-19 paper "AFS: An Attention-based mechanism for Supervised Feature Selection".☆44Updated 6 years ago
- ☆22Updated 5 years ago
- Tutorial on cost-sensitive boosting and calibrated AdaMEC.☆26Updated 7 years ago
- Friedman tests for comparing multiple methods across datasets in python☆33Updated 3 years ago
- The Choquet Integral Neural Network☆13Updated 5 years ago
- Feature selection for deep learning models.☆13Updated 4 years ago
- A novel Sparse-Coding Based Approach Feature Selection with emphasizing joint l_1,2-norm minimization and the Class-Specific Feature Sele…☆16Updated 4 years ago
- Classifing the iris dataset with fuzzy logic, genetic algorithm and particle swarm optimization.☆11Updated 5 years ago
- An algorithm framework integrating fuzzy decision trees and fuzzy ensemble trees.☆25Updated last year
- Code for the paper "Predict-then-optimize or predict-and-optimize? An empirical evaluation of cost-sensitive learning strategies".☆15Updated last year
- Radial-Based Oversampling for Noisy Imbalanced Data Classification☆14Updated 7 years ago
- ☆14Updated 4 years ago
- Oversampling method based on relative density☆11Updated 4 years ago