Table 1 Predictions accuracy of six ML models on the two datasets.

From: Machine learning, transcriptome, and genotyping chip analyses provide insights into SNP markers identifying flower color in Platycodon grandiflorus

Stage

Model

First (96 SNPs)

Second (9 SNPs)

Average

Dataset 1

GBM

0.617

0.752

0.684

SVM

0.479

0.760

0.620

RF

0.646

0.777

0.711

KNN

0.640

0.727

0.683

C5.0

0.604

0.721

0.663

PLS

0.617

0.752

0.684

Dataset 2

GBM

0.705

0.774

0.740

SVM

0.840

0.757

0.799

RF

0.819

0.799

0.809

KNN

0.778

0.743

0.760

C5.0

0.816

0.781

0.799

PLS

0.705

0.774

0.740

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