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based optimization » whale optimization (Expand Search)
dose optimization » model optimization (Expand Search), wolf optimization (Expand Search), design optimization (Expand Search)
binary target » primary target (Expand Search), kinase target (Expand Search), final target (Expand Search)
binary varied » binary values (Expand Search), binary variables (Expand Search)
varied based » acid based (Expand Search), ranked based (Expand Search)
target dose » target based (Expand Search)
based optimization » whale optimization (Expand Search)
dose optimization » model optimization (Expand Search), wolf optimization (Expand Search), design optimization (Expand Search)
binary target » primary target (Expand Search), kinase target (Expand Search), final target (Expand Search)
binary varied » binary values (Expand Search), binary variables (Expand Search)
varied based » acid based (Expand Search), ranked based (Expand Search)
target dose » target based (Expand Search)
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Effects of Class Imbalance and Data Scarcity on the Performance of Binary Classification Machine Learning Models Developed Based on ToxCast/Tox21 Assay Data
Published 2022“…Therefore, the resampling algorithm employed should vary depending on the data distribution to achieve optimal classification performance. …”
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Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles
Published 2025“…</p><p dir="ltr">These biological metrics were used to define a binary toxicity label: entries were classified as toxic (1) or non-toxic (0) based on thresholds from standardized guidelines (e.g., ISO 10993-5:2009) and literature consensus. …”