Search alternatives:
greatest decrease » greater decrease (Expand Search), treatment decreased (Expand Search), greater increase (Expand Search)
largest decrease » largest decreases (Expand Search), larger decrease (Expand Search), marked decrease (Expand Search)
linear decrease » linear increase (Expand Search)
mean decrease » a decrease (Expand Search)
greatest decrease » greater decrease (Expand Search), treatment decreased (Expand Search), greater increase (Expand Search)
largest decrease » largest decreases (Expand Search), larger decrease (Expand Search), marked decrease (Expand Search)
linear decrease » linear increase (Expand Search)
mean decrease » a decrease (Expand Search)
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9201
List of datasets in AqSolDB.
Published 2025“…The prediction results indicate that the StackBoost model excels in predicting aqueous solubility, achieving a coefficient of determination () of 0.90, a root mean square error (RMSE) of 0.29, and a mean absolute error (MAE) of 0.22, significantly outperforming the other comparative models. …”
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9202
Feature importance derived from SHAP analysis.
Published 2025“…The prediction results indicate that the StackBoost model excels in predicting aqueous solubility, achieving a coefficient of determination () of 0.90, a root mean square error (RMSE) of 0.29, and a mean absolute error (MAE) of 0.22, significantly outperforming the other comparative models. …”
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9204
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9205
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9207
DataSheet1_Decreasing incidence and mortality of lung cancer in Hungary between 2011 and 2021 revealed by robust estimates reconciling multiple data sources.ZIP
Published 2024“…The COVID-19 pandemic resulted in a statistically significant decrease in lung cancer incidence, especially in the 50–59 age group (both sexes).…”
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9208
Image_3_Machine Learning Applied to the Search for Nonlinear Features in Breeding Populations.TIF
Published 2022“…<p>Large plant breeding populations are traditionally a source of novel allelic diversity and are at the core of selection efforts for elite material. …”
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9209
Image_1_Machine Learning Applied to the Search for Nonlinear Features in Breeding Populations.TIF
Published 2022“…<p>Large plant breeding populations are traditionally a source of novel allelic diversity and are at the core of selection efforts for elite material. …”
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9210
Table_2_Machine Learning Applied to the Search for Nonlinear Features in Breeding Populations.CSV
Published 2022“…<p>Large plant breeding populations are traditionally a source of novel allelic diversity and are at the core of selection efforts for elite material. …”
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9211
Image_2_Machine Learning Applied to the Search for Nonlinear Features in Breeding Populations.TIF
Published 2022“…<p>Large plant breeding populations are traditionally a source of novel allelic diversity and are at the core of selection efforts for elite material. …”
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9212
Table_1_Machine Learning Applied to the Search for Nonlinear Features in Breeding Populations.XLSX
Published 2022“…<p>Large plant breeding populations are traditionally a source of novel allelic diversity and are at the core of selection efforts for elite material. …”
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9213
Table_3_Machine Learning Applied to the Search for Nonlinear Features in Breeding Populations.xlsx
Published 2022“…<p>Large plant breeding populations are traditionally a source of novel allelic diversity and are at the core of selection efforts for elite material. …”
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9214
Table_4_Machine Learning Applied to the Search for Nonlinear Features in Breeding Populations.xlsx
Published 2022“…<p>Large plant breeding populations are traditionally a source of novel allelic diversity and are at the core of selection efforts for elite material. …”
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9215
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9220