Showing 381 - 400 results of 1,319 for search '(( significant decrease decrease ) OR ( significance ((set decrease) OR (a decrease)) ))~', query time: 0.34s 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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    Raw data for HCs. by Beshir Bedru Nasir (8218863)

    Published 2024
    “…<div><p>Background</p><p>Ethiopia faces a significant burden of Tuberculosis (TB), being one of the high-burden countries, and the emergence of the Coronavirus Disease 2019 (COVID-19) has become a dominant health concern, particularly in resource-limited settings. …”
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    Raw data for hospitals. by Beshir Bedru Nasir (8218863)

    Published 2024
    “…<div><p>Background</p><p>Ethiopia faces a significant burden of Tuberculosis (TB), being one of the high-burden countries, and the emergence of the Coronavirus Disease 2019 (COVID-19) has become a dominant health concern, particularly in resource-limited settings. …”
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    Raw data. by Beshir Bedru Nasir (8218863)

    Published 2024
    “…<div><p>Background</p><p>Ethiopia faces a significant burden of Tuberculosis (TB), being one of the high-burden countries, and the emergence of the Coronavirus Disease 2019 (COVID-19) has become a dominant health concern, particularly in resource-limited settings. …”
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    Global Land Use Change Impacts on Soil Nitrogen Availability and Environmental Losses by Jing Wang (6206297)

    Published 2025
    “…However, how global land use changes impact soil N supply and potential N loss remains elusive. By compiling a global data set of 1,782 paired observations from 185 publications, we show that land use conversion from natural to managed ecosystems significantly reduced NNM by 7.5% (−11.5, −2.8%) and increased NN by 150% (86, 194%), indicating decreasing N availability while increasing potential N loss through denitrification and nitrate leaching. …”
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    Data. by Michael C. Payne (2664379)

    Published 2025
    “…Using a generalized estimating equation model that accounted for age, sex, bednet use, and sentinel site, we found no significant difference in the effectiveness of the two treatment approaches (p = 0.845 for Mf and p = 0.332 for CFA). …”
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    Differential expression patterns and functional gene groups associated with SARS-CoV-2 infection of nose organoids. by Vasanthi Avadhanula (259546)

    Published 2025
    “…<b>(c)</b> Similar to part b, but for genes decreased with SARS-CoV-2 infection. <b>(d)</b> Selected significantly enriched GO terms <sup>41</sup> within the genes over-expressed with SARS-CoV-2 infection in HNO204 (p<0.05, t-test). …”