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besides the misclassification frequency plots (which can be a helpful diagnostic), it may be useful to offer an option to enable the user to compare and study the differences characteristics between frequency misclassified vs. frequently correctly classified..
Characteristics could be the input features themselves, or the other associated meta data and attributes (e.g. provided as part of pyradigm)
examples include: those frequently misclassified were mostly the older patients , and those frequently correctly classified has "property X" etc.
The text was updated successfully, but these errors were encountered:
besides the misclassification frequency plots (which can be a helpful diagnostic), it may be useful to offer an option to enable the user to compare and study the differences characteristics between frequency misclassified vs. frequently correctly classified..
Characteristics could be the input features themselves, or the other associated meta data and attributes (e.g. provided as part of
pyradigm
)examples include: those frequently misclassified were mostly the older patients , and those frequently correctly classified has "property X" etc.
The text was updated successfully, but these errors were encountered: