Your English writing platform
Discover LudwigExact(46)
We report the mean recognition accuracy over 20 random splits.
We also report the mean recognition accuracy over 20 random splits.
The average recognition accuracies are reported for 30 repeated random splits.
In effect, in seven scales, the reductions were identical in all three random splits.
Each boxplot depicts the performance of a leave-one-sequence-out validation performed on 10 random splits.
To facilitate this valuable benchmark, the exact validation protocol including the exact random splits will be made publicly available.
Similar(13)
All methods performed worse than on the random split benchmark.
Using other preprocessing methods and multiple random splitting of the data sets obtained the similar results.
This was done for both the random split set and temporal split set.
This random split was also re-performed prior to building every model.
To accurately compare the methods, 4 z-scores were calculated for each method and metric within the experiments (random split MCC, random split BEDROC, temporal split MCC, and temporal split BEDROC, Table 1 and Fig. 4).
Write better and faster with AI suggestions while staying true to your unique style.
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