On the stratification of multi-label data

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python - multi-label classification and stratified sampling with ...

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"Web13 de abr. de 2024 · Data were split into 75% training and 25% testing data using patient-wise stratification, but otherwise completely random allocation. It is worth noting that, in none of the datasets, there was ... " - On the stratification of multi-label data

On the stratification of multi-label data

A Network Perspective on Stratification of Multi-Label Data

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WebTable 1: Percentage of label pairs without positive evidence, averaged over 10 folds, with standard deviation. The lesser the better. The best performing division method in bold. Methods with smallest variance are underlined. - "A Network Perspective on Stratification of Multi-Label Data" WebIn the color schemes dialog, you can choose a color scheme by name using the drop down menu, or use the arrow buttons to browse the schemes. You are not limited to the color …

http://scikit.ml/stratification.html

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