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

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Created almost 6 years ago
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XuesenYang/How-to-calculate-the-classification-model-performance

XuesenYang

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

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

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

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

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