Feature selection, also known as variable selection, attribute selection or variable subset selection, is the process of selecting a subset of relevant features (variables, predictors) for use in model construction.
Source: Feature Selection and Feature Extraction in Pattern Analysis: A Literature ReviewPaper | Code | Results | Date | Stars |
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Task | Papers | Share |
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Classification | 32 | 6.05% |
Dimensionality Reduction | 30 | 5.67% |
Feature Importance | 24 | 4.54% |
Decision Making | 22 | 4.16% |
Feature Engineering | 15 | 2.84% |
Image Classification | 11 | 2.08% |
Computational Efficiency | 9 | 1.70% |
Fairness | 9 | 1.70% |
Emotion Recognition | 9 | 1.70% |
Component | Type |
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🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |