Search alternatives:
larger decrease » marked decrease (Expand Search)
lower decrease » linear decrease (Expand Search), showed decreased (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), nn decrease (Expand Search)
larger decrease » marked decrease (Expand Search)
lower decrease » linear decrease (Expand Search), showed decreased (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), nn decrease (Expand Search)
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2421
Addressing Imbalanced Classification Problems in Drug Discovery and Development Using Random Forest, Support Vector Machine, AutoGluon-Tabular, and H2O AutoML
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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2422
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2423
Relationships between clay and quartz content, TOC, 2D-NMR solid OM, S<sub>1</sub>, 2D-NMR light oil and fractal dimensions.
Published 2024“…This results in the formation of larger dissolution pores within the carbonated minerals [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0309346#pone.0309346.ref043" target="_blank">43</a>], leading to a decrease in the fractal dimensions D<sub>1</sub> and D<sub>2</sub>. …”
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2424
LULC proportion from 2040 to 2060.
Published 2025“…The study highlighted significant land-use changes, with increased agriculture and built-up areas at the expense of forests and pasturelands. …”
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2425
Global sensitive flow parameters [84].
Published 2025“…The study highlighted significant land-use changes, with increased agriculture and built-up areas at the expense of forests and pasturelands. …”
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2426
Gene expression omnibus datasets.
Published 2024“…<div><p>Although the link between ischemia-reperfusion injury (IRI) and T cell-mediated rejection (TCMR) in kidney transplantation (KT) is well known, the mechanism remains unclear. We investigated essential genes and biological processes involved in interactions between IRI and TCMR. …”
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2427
Calycosin Inhibit PANoptosis and Alleviate Brain Damage: A Bioinformatics and Experimental Verification Approach
Published 2025“…Numerous studies have highlighted the significance of PANoptosis in brain ischemia–reperfusion (I/R) injury. …”
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2428
Basic characteristics of the afforested land.
Published 2025“…The results revealed that land use significantly altered the distribution of carbon fractions. …”
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2429
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2430
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2431
Detailed information of the observation datasets.
Published 2025“…Understanding spatial-temporal characteristics of wind speed is significant in meteorology, coastal engineering design and maritime industries. …”
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2432
General technical specification for GW154/6700.
Published 2025“…Understanding spatial-temporal characteristics of wind speed is significant in meteorology, coastal engineering design and maritime industries. …”
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2433
Flow chart of research object screening.
Published 2025“…</p><p>Results</p><p>Cancer patients had higher mean age (68.70 ± 11.85 vs. 48.36 ± 17.00 years), lower testosterone levels (377.35 ± 204.26 vs. 415.02 ± 183.92 ng/dL, P < 0.001), and lower ALI values (64.86 ± 118.61 vs. 72.68 ± 185.25, P = 0.053) than non-cancer controls. …”
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2434
Data file without outliers.
Published 2025“…At follow-up, the increase in KYN and KYN/TRP was related to a decrease in ExCap in CKD 2–3. After adjusting for GFR, increase in KYN/TRP remained an independent significant predictor of a decline in ExCap in CKD 2–3.…”
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2435
Supplementary Table 1–9.
Published 2025“…To gain further insight, expression quantitative trait loci (eQTL) data were used to investigate the significant drug targets for lipid-lowering.</p><p>Results</p><p>Increasing ApoA-1 levels was associated with a diminished risk of sepsis (under 75) (OR 0.927, 95% CI 0.861–0.999; p = 0.047). …”
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2436
STROBE-MR checklist.
Published 2025“…To gain further insight, expression quantitative trait loci (eQTL) data were used to investigate the significant drug targets for lipid-lowering.</p><p>Results</p><p>Increasing ApoA-1 levels was associated with a diminished risk of sepsis (under 75) (OR 0.927, 95% CI 0.861–0.999; p = 0.047). …”
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2437
Instrumental Variables details of lipids.
Published 2025“…To gain further insight, expression quantitative trait loci (eQTL) data were used to investigate the significant drug targets for lipid-lowering.</p><p>Results</p><p>Increasing ApoA-1 levels was associated with a diminished risk of sepsis (under 75) (OR 0.927, 95% CI 0.861–0.999; p = 0.047). …”
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2438
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2439
Osteoporosis screening among study participants.
Published 2024“…<div><p>Osteoporosis is a major public health problem that can lead to physical disability, working performance limitations, decreased self-sufficiency, and increased hospitalization and mortality rates. …”
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2440