smote_variants
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Getting Started

  • Getting Started
  • Installation

API

  • Oversamplers
  • Noise filters and prototype selection
  • Model selection, evaluation and validation
  • Multiclass oversampling

Usage

  • Examples
  • Adding a new oversampler
  • Gallery
    • Oversampling sample results
    • Noise removal sample results
    • Multiclass sample results

Interfaces

  • Using smote_variants in R
  • Using smote_variants in Julia

The competition

  • About the competition
  • Ranking
  • Downloads

Additional Information

  • Contribute
  • Release History
smote_variants
  • Gallery
  • Edit on GitHub

Gallery

In this page, we demonstrate the output of various oversampling and noise removal techniques, using default parameters.

For binary oversampling and nosie removal, an artificial database was used, available in the datasets module.

Oversampling sample results

In the captions of the images some abbreviations referring to the operating principles are placed. Namely:

  • NR: noise removal is involved

  • DR: dimension reduction is applied

  • Clas: some supervised classifier is used

  • SCmp: sampling is carried out componentwise (attributewise)

  • SCpy: sampling is carried out by copying instances

  • SO: ordinary sampling (just like in SMOTE)

  • M: memetic optimization is used

  • DE: density estimation is used

  • DB: density based - the sampling is based on a density of importance assigned to the instances

  • Ex: the sampling is extensive - samples are added successively, not optimizing the holistic distribution of a given number of samples

  • CM: changes majority - even majority samples can change

  • Clus: uses some clustering technique

  • BL: identifies and samples the neighborhoods of borderline samples

  • A: developed for a specific application

_images/NoSMOTE.png _images/SMOTE.png _images/SMOTE_TomekLinks.png _images/SMOTE_ENN.png _images/Borderline_SMOTE1.png _images/Borderline_SMOTE2.png _images/ADASYN.png _images/AHC.png _images/LLE_SMOTE.png _images/distance_SMOTE.png _images/SMMO.png _images/polynom_fit_SMOTE_bus.png _images/polynom_fit_SMOTE_mesh.png _images/polynom_fit_SMOTE_poly.png _images/polynom_fit_SMOTE_star.png _images/Stefanowski.png _images/Safe_Level_SMOTE.png _images/MSMOTE.png _images/DE_oversampling.png _images/SMOBD.png _images/SUNDO.png _images/MSYN.png _images/SVM_balance.png _images/TRIM_SMOTE.png _images/SMOTE_RSB.png _images/ProWSyn.png _images/SL_graph_SMOTE.png _images/NRSBoundary_SMOTE.png _images/LVQ_SMOTE.png _images/SOI_CJ.png _images/ROSE.png _images/SMOTE_OUT.png _images/SMOTE_Cosine.png _images/Selected_SMOTE.png _images/LN_SMOTE.png _images/MWMOTE.png _images/PDFOS.png _images/IPADE_ID.png _images/RWO_sampling.png _images/NEATER.png _images/DEAGO.png _images/Gazzah.png _images/MCT.png _images/ADG.png _images/SMOTE_IPF.png _images/KernelADASYN.png _images/MOT2LD.png _images/V_SYNTH.png _images/OUPS.png _images/SMOTE_D.png _images/SMOTE_PSO.png _images/CURE_SMOTE.png _images/SOMO.png _images/CE_SMOTE.png _images/ISOMAP_Hybrid.png _images/Edge_Det_SMOTE.png _images/CBSO.png _images/DBSMOTE.png _images/ASMOBD.png _images/Assembled_SMOTE.png _images/SDSMOTE.png _images/DSMOTE.png _images/G_SMOTE.png _images/NT_SMOTE.png _images/Lee.png _images/SPY.png _images/SMOTE_PSOBAT.png _images/MDO.png _images/Random_SMOTE.png _images/ISMOTE.png _images/VIS_RST.png _images/GASMOTE.png _images/A_SUWO.png _images/SMOTE_FRST_2T.png _images/AND_SMOTE.png _images/NRAS.png _images/AMSCO.png _images/SSO.png _images/DSRBF.png _images/NDO_sampling.png _images/Gaussian_SMOTE.png _images/kmeans_SMOTE.png _images/Supervised_SMOTE.png _images/SN_SMOTE.png _images/CCR.png _images/ANS.png _images/cluster_SMOTE.png _images/E_SMOTE.png _images/ADOMS.png _images/SYMPROD.png

Noise removal sample results

_images/TomekLinkRemoval.png _images/CondensedNearestNeighbors.png _images/OneSidedSelection.png _images/CNNTomekLinks.png _images/NeighborhoodCleaningRule.png _images/EditedNearestNeighbors.png

Multiclass sample results

_images/multiclass-SMOTE.png _images/multiclass-Borderline_SMOTE1.png _images/multiclass-Borderline_SMOTE2.png _images/multiclass-ADASYN.png _images/multiclass-distance_SMOTE.png _images/multiclass-SMMO.png _images/multiclass-polynom_fit_SMOTE_mesh.png _images/multiclass-polynom_fit_SMOTE_bus.png _images/multiclass-polynom_fit_SMOTE_star.png _images/multiclass-polynom_fit_SMOTE_poly.png _images/multiclass-Safe_Level_SMOTE.png _images/multiclass-MSMOTE.png _images/multiclass-SMOBD.png _images/multiclass-MSYN.png _images/multiclass-TRIM_SMOTE.png _images/multiclass-SMOTE_RSB.png _images/multiclass-ProWSyn.png _images/multiclass-SL_graph_SMOTE.png _images/multiclass-NRSBoundary_SMOTE.png _images/multiclass-LVQ_SMOTE.png _images/multiclass-SOI_CJ.png _images/multiclass-ROSE.png _images/multiclass-SMOTE_OUT.png _images/multiclass-SMOTE_Cosine.png _images/multiclass-Selected_SMOTE.png _images/multiclass-LN_SMOTE.png _images/multiclass-MWMOTE.png _images/multiclass-PDFOS.png _images/multiclass-RWO_sampling.png _images/multiclass-DEAGO.png _images/multiclass-MCT.png _images/multiclass-ADG.png _images/multiclass-KernelADASYN.png _images/multiclass-MOT2LD.png _images/multiclass-V_SYNTH.png _images/multiclass-OUPS.png _images/multiclass-SMOTE_D.png _images/multiclass-CURE_SMOTE.png _images/multiclass-SOMO.png _images/multiclass-CE_SMOTE.png _images/multiclass-Edge_Det_SMOTE.png _images/multiclass-CBSO.png _images/multiclass-DBSMOTE.png _images/multiclass-ASMOBD.png _images/multiclass-Assembled_SMOTE.png _images/multiclass-SDSMOTE.png _images/multiclass-G_SMOTE.png _images/multiclass-NT_SMOTE.png _images/multiclass-Lee.png _images/multiclass-Random_SMOTE.png _images/multiclass-A_SUWO.png _images/multiclass-AND_SMOTE.png _images/multiclass-NRAS.png _images/multiclass-SSO.png _images/multiclass-DSRBF.png _images/multiclass-NDO_sampling.png _images/multiclass-Gaussian_SMOTE.png _images/multiclass-kmeans_SMOTE.png _images/multiclass-Supervised_SMOTE.png _images/multiclass-SN_SMOTE.png _images/multiclass-CCR.png _images/multiclass-ANS.png _images/multiclass-cluster_SMOTE.png _images/multiclass-ADOMS.png _images/multiclass-SYMPROD.png _images/multiclass-DE_oversampling.png
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© Copyright 2018, György Kovács. Revision c26cdd9d.

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