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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Dimensionality Reduction | 31 | 5.65% |
Classification | 30 | 5.46% |
Feature Importance | 23 | 4.19% |
Decision Making | 21 | 3.83% |
Feature Engineering | 14 | 2.55% |
Image Classification | 11 | 2.00% |
Emotion Recognition | 10 | 1.82% |
Clustering | 10 | 1.82% |
Fairness | 10 | 1.82% |
Component | Type |
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🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |