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Comparisons between groups were performed using the Mann–Whitney U test, setting the level of significance at 0.05.
Based on the hypothesis that the link usage spectrum is a gross predictor for network performance, we show how to replicate in the test setting the link usage spectrum of the protocol that is expected in the deployment setting.
Histological data (neuronal density) and MRI data (T2W and rCBV values) obtained in the three experimental groups, were analyzed with one-way analysis of variance (ANOVA), followed by the LSD post hoc test, setting the significance at P<0.05.
For MRI data analysis, the difference between T2W and rCBV values obtained in control vs pilocarpine-treated rats was evaluated with one-way analysis of variance (ANOVA), followed by the LSD post-hoc test, setting the significance at p<0.05.
We compared those proportions using Fischer's exact test, setting the significance threshold to P ≤ 0.05.
For a medical test this usually makes no sense: The researcher makes a practical and scientific decision about applying the test (setting the threshold), and proceeds to use the test accordingly on the next patient.
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But I can taste test, set the table, all of that.
For each test set, the accuracy formula is shown as follows: (13).
Indeed, using K-fold cross validation test set, the SVM gets a better result than RF.
When validating against the full test set, the RF returns a better result than SVM when training with more than 10% of the full test set.
In independent test set, the test patients don't appear in the training set, and the models achieved similar results as in patient dependent test set.
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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