Effect of Dataset Size and Train/Test Split Ratios in QSAR/QSPR Multiclass Classification
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DOI: 10.3390/molecules26041111
Abstract: Applied datasets can vary from a few hundred to thousands of samples in typical quantitative structure-activity/property (QSAR/QSPR) relationships and classification. However, the size of the datasets and the train/test split ratios can greatly affect the… read more here.
Keywords: classification; split ratios; train test; test ... See more keywords