Additional file 3: of Massive metagenomic data analysis using abundance-based machine learning

Autor:	Harris, Zachary, Dhungel, Eliza, Mosior, Matthew, Tae-Hyuk Ahn
Rok vydání:	2019
DOI:	10.6084/m9.figshare.9211013.v1
Popis:	Figure S3. Hyperparameter tuning for n_estimators in the assembly-based approach. Each figure shows accuracy results from a series of random decision tree constructions and random train/test partitions for each of those constructions. (A) Hyperparameter tuning of the random paired-end subset assembly (PP). (B). Hyperparameter tuning of the left-only assembly (PL). Note: The difference is point count is from fewer tests in the PL assembly as it had 10X as many features and took much longer to train and test. (PDF 2103 kb)
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a1de45d81cc40d6ead3206568366643 Zobrazit plný text záznamu