Search alternatives:
dataset optimization » data optimization (Expand Search), based optimization (Expand Search), dose optimization (Expand Search)
class dataset » cross dataset (Expand Search), spss dataset (Expand Search), class data (Expand Search)
class global » across global (Expand Search), als global (Expand Search)
dataset optimization » data optimization (Expand Search), based optimization (Expand Search), dose optimization (Expand Search)
class dataset » cross dataset (Expand Search), spss dataset (Expand Search), class data (Expand Search)
class global » across global (Expand Search), als global (Expand Search)
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61
Predictive Analysis of Mushroom Toxicity Based Exclusively on Their Natural Habitat.
Published 2025“…The consistent accuracy of 70.28% does not represent a flaw in the SVM. algorithm, but rather the predictive performance ceiling of the feature itself, whose simplicity and class overlap limit the model's discriminatory ability. …”
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62
Supplementary Material 8
Published 2025“…</li><li><b>XGboost: </b>An optimized gradient boosting algorithm that efficiently handles large genomic datasets, commonly used for high-accuracy predictions in <i>E. coli</i> classification.…”
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63
DataSheet_1_Exploring deep learning radiomics for classifying osteoporotic vertebral fractures in X-ray images.docx
Published 2024“…Utilizing the binary “One-vs-Rest” strategy, the model based on the RadImageNet dataset demonstrated superior efficacy in predicting Class 0, achieving an AUC of 0.969 and accuracy of 0.863. …”
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