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OGC presents a drop of accuracy for higher radius values due to the known 'shrinking problem' of graph cut.
This is confirmed by these results, as higher dropout rates and dropout on the visible layer (the fingerprint/feature layer) results in a drop of accuracy (1 vs. 2 and 3 vs. 4).
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Restricting SVM analyses to conventional single Diversity and Evenness indices α=1,2 D and α=1,2 E (representing the [scaled] exponential of the Shannon entropy and Simpson's index, respectively) resulted in a drop of prediction accuracy by ≈ 5%% to ≈ 30%% (Additional files 11 and 12).
The main consequences of the equalization process were a slight drop of accuracy and an increase in manual reaction time.
26 27 28 While developing classification models for patients in Kuwait, removing the ethnicity field from the data causes a drop of at least 6% in accuracy.
However, the initial drop of accuracy due to loss of pedigree relationships limits the value of genomic predictions further than one generation ahead.
For agronomic traits, prediction accuracies were highest for RR-BLUP with a drop of 0.09 to 0.12 if LASSO or elastic net was used and with a drop of 0.01 to 0.11 if BayesB was used.
Here, prediction accuracies were highest for LASSO or elastic net with a drop of 0.05 to 0.14 when using RR-BLUP.
Not a drop of ouzo.
Adding transformed features such as band metrics to the Landsat data stack increased accuracy 1 4%, while experiments with a reduced number of features (designed to mimic noisy or missing data) led to a drop in accuracy of 1 9%.
Thus, the method based on TFDF still meets the goal of electrode reduction without a significant drop of classification accuracy.
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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