jovicigor / DecisionTreeRuleExtractionLinks
This project is a research on how to extract rules from the existing data using trained Decision Tree. The dataset used to train the model and extract rules is Boston Housing Dataset. The goal is to extract the rules based on which the taxes are formed.
☆16Updated 6 years ago
Alternatives and similar repositories for DecisionTreeRuleExtraction
Users that are interested in DecisionTreeRuleExtraction are comparing it to the libraries listed below
Sorting:
- Tutorial on cost-sensitive boosting and calibrated AdaMEC.☆26Updated 8 years ago
- TransBoost algorithm for transfer learning☆35Updated 2 years ago
- A python implementation of a genetic algorithm based approach for cost sensitive learning☆8Updated 5 years ago
- A toolkit for extracting comprehensible rules from tree-based algorithms☆43Updated 6 years ago
- Fast Correlation-Based Feature Selection☆31Updated 8 years ago
- Code for the paper 'Variable Selection with Copula Entropy' published on Chinese Journal of Applied Probability and Statistics☆19Updated 3 years ago
- ☆37Updated 4 years ago
- Oblique Decision Tree implementation in Python☆9Updated 10 years ago
- Entropy based binning of discrete variables.☆34Updated 5 years ago
- (Python, R) Cost-sensitive multiclass classification (Weighted-All-Pairs, Filter-Tree & others)☆48Updated last month
- ☆40Updated 3 years ago
- Bayesian Optimization and Grid Search for xgboost/lightgbm☆74Updated 4 months ago
- https://www.kaggle.com/c/m5-forecasting-accuracy/overview/☆12Updated 4 years ago
- An open source python library for automated feature engineering based on Genetic Programming☆146Updated 2 months ago
- ☆15Updated 5 years ago
- Code for the paper "Estimating Transfer Entropy via Copula Entropy"☆41Updated 2 years ago
- Python code to prune ensembles☆12Updated 3 years ago
- Recurrent Graph Evolution Neural Network (ReGENN) using Graph Soft Evolution (GSE)☆30Updated 11 months ago
- Exploratory Data Analysis, Dealing with Missing Values, Data Munging, Ensembled Regression Model using Stacked Regressor, XGBoost and mic…☆22Updated 7 years ago
- Multivariate Adaptive Regression Splines for Time Series Prediction☆18Updated 2 years ago
- A memory efficient GBDT on adaptive distributions. Much faster than LightGBM with higher accuracy. Implicit merge operation.☆58Updated 5 years ago
- Online Streaming Feature Selection☆27Updated 4 months ago
- Implementation of the Adaptive XGBoost classifier for evolving data streams☆43Updated 4 years ago
- Multi-variable LSTM recurrent neural networks for prediction and interpretation of multi-variable time series☆48Updated 4 years ago
- ☆12Updated 2 years ago
- 在Kaggle比赛 Home Credit Default Risk中测试gplearn进行特征工程的效果☆10Updated 6 years ago
- Using Bayesian inference to mine rule sets☆12Updated 5 years ago
- An open-source package of causal feature selection and causal (Bayesian network) structure learning (Python version)☆20Updated 4 years ago
- Transfer algorithms on Decision Trees☆18Updated 5 years ago
- P. Domingos proposed a principled method for making an arbitrary classifier cost-sensitive by wrapping a cost-minimizing procedure around…☆39Updated 6 years ago