New Results
Easyml: Easily Build and Evaluate Machine Learning Models
Paul Hendricks, Woo-Young Ahn
doi: https://doi.org/10.1101/137240
Paul Hendricks
1Department of Psychology, The Ohio State University, Columbus, OH 43210, USA
Woo-Young Ahn
2Department of Psychology, The Ohio State University, Columbus, OH 43210, USA
Article usage
Posted May 12, 2017.
Easyml: Easily Build and Evaluate Machine Learning Models
Paul Hendricks, Woo-Young Ahn
bioRxiv 137240; doi: https://doi.org/10.1101/137240
Subject Area
Subject Areas
- Biochemistry (12968)
- Bioengineering (9846)
- Bioinformatics (31590)
- Biophysics (16282)
- Cancer Biology (13359)
- Cell Biology (19052)
- Clinical Trials (138)
- Developmental Biology (10320)
- Ecology (15331)
- Epidemiology (2067)
- Evolutionary Biology (19577)
- Genetics (12985)
- Genomics (17954)
- Immunology (13069)
- Microbiology (30553)
- Molecular Biology (12741)
- Neuroscience (66688)
- Paleontology (490)
- Pathology (2065)
- Pharmacology and Toxicology (3551)
- Physiology (5538)
- Plant Biology (11418)
- Synthetic Biology (3177)
- Systems Biology (7839)
- Zoology (1769)