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The smallest RMSE for each dataset is indicated in boldface.
The size of the dataset is indicated next to the points.
The smallest ΔAIC value for each dataset is indicated in italics.
The best performance of each cancer classification approach for each microarray dataset is indicated in bold.
The presence of the miRNA* sequence in the small RNA dataset is indicated.
The presence of the miRNA* sequence in the small RNA dataset is indicated (nd: not detected).
Similar(53)
If head movement during recording was beyond 5 mm, the dataset was indicated as "bad" and an additional dataset was recorded.
Numbers representing significantly upregulated genes induced by CCN infestation in each cluster combination within the dataset are indicated in each square.
Collection locations are given, and inclusion in plastid, pgiC, gapCp, and PADRE datasets is indicated.
Results for both the DIP and GOLD datasets are indicated.
Real datasets are indicated with capitals and synthetic data from mlbench are labeled starting with "mlb".
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com