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GitHub topics: relevant-feature-analysis

janasatvika/Optimizing-Classification-Models-using-Permutation-Feature-Importance-Method

High data dimensionality and irrelevant features can negatively impact the performance of machine learning algorithms. This repository implements the Permutation feature importance method to enhance the performance of some machine learning models by identifying the contribution of each feature used.

Language: Jupyter Notebook - Size: 1.99 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

MateJozsaPhys/CNDinvestigation

Opportunities and challenges in partitioning the graph measure space of real-world networks

Language: Jupyter Notebook - Size: 7.82 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

cbeny/RFA

Extracts hidden correlations between high-dimensional datasets

Language: Jupyter Notebook - Size: 1.97 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

Related Keywords
relevant-feature-analysis 3 feature-selection 2 igraph 1 machine-learning 1 metabolic-networks 1 network-analysis 1 network-classification 1 network-measures 1 networks 1 networkx 1 ppi-networks 1 skewed-data 1 social-networks 1 transportation-networks 1 unbalanced-datasets 1 web-networks 1 bayesian-inference 1 unsupervised-machine-learning 1 feature-extraction 1 complex-networks 1 brain-networks 1 affiliation-networks 1 wrapper-methods 1 support-vector-machines 1 predictive-modeling 1 permutation-importance 1 permutation-feature-importance 1 optimization-methods 1 optimization-algorithms 1 k-nearest-neighbors 1 feature-selection-methods 1 feature-importance 1 decision-trees 1 classification 1