OSF
open access
Assessing Genetic Algorithms for Variable Selection in Classification-Based Predictive Modeling: Comparing Fitness Functions and Internal Models Through a Simulation Study
genetic-algorithmmetaheuristicmonte-carlo-simulationquantitative-psychologysocial-and-behavioral-sciencesvariable-selection
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Risk prediction models for breast cancer integrating family history of breast cancer and prophylactic interventions#1104723
- EvoTSC: Evolving Feature Learning Models for Time Series Classification via Genetic Programming#141494
- Menstrual cycle prediction from physiological data using machine learning#310085
- Accurate predictive model of band gap with selected important features based on explainable machine learning#160862
- Procedural Pretraining for Molecular Property Prediction#1011546
Record · ID 385655
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive