XuesenYang/2-D-Particle-Swarm-based-feature-selection

Stars
1
Language
Python
Created almost 6 years ago
Updated almost 6 years ago

XuesenYang/2-D-Particle-Swarm-based-feature-selection

XuesenYang

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Code of article 'A two-dimensional (2-D) learning framework for Particle Swarm based feature selection'

Graph-clustering-with-ant-colony-optimization-for-feature-selection

A graph clustering method with ant colony optimization for feature selection

Several-Simple-Regression-Prediction-Methods

Several Simple Regression Prediction Methods（including-SVR, LR, Lasso, ElasticNet, Gradient Boosting, Xgboost, lightGBM, Random Forest）

Feature-rank-feature-selection

A noval feature selection method similar to pagerank method, and ultilized Bayesian optimization to search appropriate parameters

How-to-calculate-the-classification-model-performance

In classification, Accuracy, Precision, Recall, F1, Confusion Matrix, ROC, AUC are the important Evaluation Indicator

competitive-swarm-optimizer-feature-selection-CSOFS

Implementation of a competitive swarm optimizer (CSO) for feature selction

Q-learning-feature-selection

A simple reinforcement learning for feature selection

Several-Feature-Extraction-Methods

Several simple feature extraction methods are PCA, LDA, SVD and LLE

wrapper-feature-selection-library

Financial-risk-control-fraud-detection

Some common financial risk control models

machine_learning

机器学习练习

IsolationForest-feature-ranking

using a single IsolationForest method to rank features