Published June 16, 2026 | Version v1
Dataset Open

R scripts and modeling dataset for: "Machine learning predictions for microbial eukaryotic plankton: implications from unevenly structured data"

Authors/Creators

  • 1. CNR-ISMAR
  • 2. National Research Council
  • 3. National Institute of Biology
  • 4. Institute of Marine Sciences, Spanish National Research Council (CSIC)
  • 5. Observatoire Océanologique de Banyuls

Description

This repository contains the modeling dataset and analysis code required to reproduce the cross-validation (CV) results presented in the manuscript “Machine Learning Predictions for Microbial Eukaryotic Plankton: Implications from Unevenly Structured Data” (DOI: 10.3389/fmars.2026.1875929) . The model predicts the 18S rRNA gene Shannon Diversity Index (SDI) of marine microbial eukaryotes from seven environmental predictors using XGBoost and compares three CV strategies of increasing stringency.

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