Showing 4,121 - 4,140 results of 18,392 for search 'significant ((((a decrease) OR (((teer decrease) OR (we decrease))))) OR (mean decrease))', query time: 0.52s Refine Results
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    Addressing Imbalanced Classification Problems in Drug Discovery and Development Using Random Forest, Support Vector Machine, AutoGluon-Tabular, and H2O AutoML by Ayush Garg (21090944)

    Published 2025
    “…The important findings of our studies are as follows: (i) there is no effect of threshold optimization on ranking metrics such as AUC and AUPR, but AUC and AUPR get affected by class-weighting and SMOTTomek; (ii) for ML methods RF and SVM, significant percentage improvement up to 375, 33.33, and 450 over all the data sets can be achieved, respectively, for F1 score, MCC, and balanced accuracy, which are suitable for performance evaluation of imbalanced data sets; (iii) for AutoML libraries AutoGluon-Tabular and H2O AutoML, significant percentage improvement up to 383.33, 37.25, and 533.33 over all the data sets can be achieved, respectively, for F1 score, MCC, and balanced accuracy; (iv) the general pattern of percentage improvement in balanced accuracy is that the percentage improvement increases when the class ratio is systematically decreased from 0.5 to 0.1; in the case of F1 score and MCC, maximum improvement is achieved at the class ratio of 0.3; (v) for both ML and AutoML with balancing, it is observed that any individual class-balancing technique does not outperform all other methods on a significantly higher number of data sets based on F1 score; (vi) the three external balancing techniques combined outperformed the internal balancing methods of the ML and AutoML; (vii) AutoML tools perform as good as the ML models and in some cases perform even better for handling imbalanced classification when applied with imbalance handling techniques. …”
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    Quantitative Proteomics Unveils the Synergistic Effects of Combination Drugs on Cytoskeleton Composition and Autophagy-Mediated Cell Death in Neuroblastoma by Pei-Chen Yu (1860772)

    Published 2025
    “…The mRNA expression levels of several genes predicted by LINCS also decreased. To comprehensively understand the mechanism behind superior efficacy of the combination therapy compared to monotherapy, we performed quantitative proteomics with tandem mass tag labeling and identified 3416 proteins from 20,623 peptides. …”
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    Association between FF Proximity and BMI by sex. by Kimberly Yuin Y’ng Wong (22766265)

    Published 2025
    “…An exponential decrease in FF proximity was associated with 0.7 kg/m<sup>2</sup> (p < 0.001) increase in BMI among males and 0.4 kg/m<sup>2</sup> (p < 0.05) decrease among females. …”
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