• RADE

• Referenced in 1 article [sw41100]
• efficient supervised anomaly detection using decision tree-based ensemble methods. The capability to perform anomaly ... detection methods being too resource consuming, and in particular decision-tree based ensemble classifiers ... detection framework that augments standard decision-tree based ensemble classifiers to perform well ... anomaly detection capabilities as compared to standard methods while significantly improving memory footprint...

• UCI-ml

• Referenced in 3403 articles [sw04074]
• UC Irvine Machine Learning Repository. We currently maintain...

• Scikit

• Referenced in 611 articles [sw08058]
• Scikit-learn: machine learning in python. Scikit-learn...

• AppliedPredictiveModeling

• Referenced in 37 articles [sw10623]
• AppliedPredictiveModeling: Functions and Data Sets for ’Applied Predictive...

• randomForest

• Referenced in 202 articles [sw10639]
• R package randomForest: Breiman and Cutler’s random...

• C4.5

• Referenced in 1164 articles [sw12176]
• C4.5: programs for machine learning. (C4.5 has been...

• XGBoost

• Referenced in 125 articles [sw21035]
• XGBoost is an optimized distributed gradient boosting library...

• KDD Cup

• Referenced in 14 articles [sw22251]
• This is the data set used for The...

• LightGBM

• Referenced in 21 articles [sw27912]
• LightGBM: A highly efficient gradient boosting decision tree...

• CatBoost

• Referenced in 7 articles [sw31560]
• CatBoost: gradient boosting with categorical features support. In...

• JOUSBoost

• Referenced in 3 articles [sw33874]
• R package JOUSBoost: Implements Under/Oversampling for Probability Estimation...

• SMOTE

• Referenced in 152 articles [sw34239]
• SMOTE: Synthetic Minority Over-sampling Technique. An approach...

• BranchyNet

• Referenced in 3 articles [sw36240]
• BranchyNet: Fast Inference via Early Exiting from Deep...