Your English writing platform
Discover LudwigSuggestions(2)
Exact(1)
However, the existing over-sampling methods achieve slightly better or sometimes worse result than the simplest SMOTE.
Similar(59)
The results are shown in Table 2, which shows that our method achieves slightly higher coding quality than the classical MPE synthesizer.
The existing over-sampling methods based on SMOTE achieve slightly better or sometimes worse result than the simplest SMOTE.
For the cross-validation performance, Table 4 shows the mean and standard deviation of prediction performance for all methods; network-based methods achieved a slightly better classification performance than the gene-based methods.
In terms of classification algorithms, we find that all seven algorithms perform comparably with the three sparse learning methods using logistic loss achieving slightly better performance.
On Leukemia data, all methods achieve comparable results, with ANMM4CBR and MRMR+SVM perform slightly better.
His methods achieve fairly quick results.
Among various methods, a logistic model tree [ 52], which combines linear logistic regression with decision tree induction, was used, and achieved slightly lesser performance than SVM (results not shown here).
The proposed method achieves a slightly higher ROC area than DSR and also outperforms the state-of-the-art methods on this human fixation dataset.
Our method achieved a slightly better AUC of 0.87.
In Table 3, we present that the CSSS method achieves a slightly better performance than the SW P value similarity/distance measure (using either the SVN or the 1-NN classifier) as reported in Kocsor et al. (2006) and performs much better than the combined LZW-BLAST similarity measure with the 1-NN classifier also reported in Kocsor et al. (2006).
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