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Performance of different prediction models for total carote..:

Ravena Rocha Bessa de Carvalho (12024672) ; Diego Fernando Marmolejo Cortes (4827291) ; Massaine Bandeira e Sousa (7866242)..
https://figshare.com/articles/dataset/Performance_of_different_prediction_models_for_total_carotenoid_content_in_cassava_roots_using_colorimetric_indices_obtained_from_digital_images_considering_the_complete_model_all_variables_and_reduced_model_variables_with_more_than_50_rela/19098525. , 2022

Link: https://doi.org/10.1371/journal.pone.0263326.t001

RT Journal
T1 <Title>Performance of different prediction models for total carotenoid content in cassava roots using colorimetric indices obtained from digital images considering the complete model (all variables) and reduced model (variables with more than 50% relative importance), using the random cross-validation without test set (V-Random), PCA clustering-based cross-validation (IV-Cluster), and random cross-validation with test set (IV-Random)</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_19098525&Exemplar=1&LAN=DE
				
A1 Ravena Rocha Bessa de Carvalho (12024672)
A1 Diego Fernando Marmolejo Cortes (4827291)
A1 Massaine Bandeira e Sousa (7866242)
A1 Luciana Alves de Oliveira (11985977)
A1 Eder Jorge de Oliveira (8544567)
YR 2022
K1 Biotechnology
K1 Ecology
K1 Sociology
K1 Environmental Sciences not elsewhere classified
K1 Biological Sciences not elsewhere classified
K1 total carotenoids content
K1 principal component analysis
K1 best predictive ability
K1 select predictive models
K1 pca )
K1 correlation
K1 94 )
K1 associated
K1 228 biofortified genotypes
K1 throughput phenotyping tools
K1 developing prediction models
K1 div >< p
K1 digital image analysis
K1 high positive correlation
K1 use digital images
K1 2 </ sup
K1 tcc phenotyping tools
K1 prediction models
K1 significant correlation
K1 l </
K1 cassava genotypes
K1 blue images
K1 based phenotyping
K1 tcc estimates
K1 tcc based
K1 study aimed
K1 square error
K1 smallest error
K1 short period
K1 screening hundreds
K1 results demonstrated
K1 machine learning
K1 international commission
K1 important ones
K1 extract information
K1 effective alternative
K1 diversity studies
K1 data obtained
K1 colorimetric data
K1 cassava roots
K1 biofortification program
K1 analyzed using
K1 >* parameter
K1 24 )
JF https://figshare.com/articles/dataset/Performance_of_different_prediction_models_for_total_carotenoid_content_in_cassava_roots_using_colorimetric_indices_obtained_from_digital_images_considering_the_complete_model_all_variables_and_reduced_model_variables_with_more_than_50_rela/19098525
LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0263326.t001
DO https://doi.org/10.1371/journal.pone.0263326.t001
SF ELIB - SuUB Bremen

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