From: EvalDNA: a machine learning-based tool for the comprehensive evaluation of mammalian genome assembly quality
Regression model
RMSE
R-squared
General linear
16.413
0.775
Elastic net
16.520
0.773
K-nearest neighbors
13.615
0.840
Random forest
12.697
0.860
SVM (linear)
17.190
0.774
SVM (polynomial)
14.363
0.843