Scikit-learn-contrib/Imbalanced-learn

(2021). Scikit-learn-contrib/Imbalanced-learn.

Type

Unclassified

Intellectual base

Unclassified

Year

2021

Link

no authoritative link yet

Cited by

1 citation across 1 artifact.

Domain-specific

• Oversampling and undersampling in data analysis
  • Random and synthetic oversampling, random undersampling and informed hybrids can improve learning from imbalance but change effective prevalence and can cause duplication, information loss, leakage or distorted calibration.

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Registry ID ref:74c80896c0e7 · see in the full table