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Last sprint's deliverables #237
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Signed-off-by: Ahmed Sheta <[email protected]>
Signed-off-by: Ahmed Sheta <[email protected]>
Signed-off-by: Ahmed Sheta <[email protected]>
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# Conclusion | ||
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In summary, XGBoost consistently demonstrated superior performance, showcasing robust results across various splits and subsets. However, it is crucial to note that its elevated score is attributed to potential overfitting on the XS class. Given SumUp's emphasis on accurate predictions for higher classes, we recommend considering LightGBM. This model outperformed XGBoost in predicting the XL class and the other classes, offering better results in both the five-class and three-class splits. |
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Nice summary.
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Good work overall. Please just provide me with the source files of the compiled PDFs, because I would like to update the underlying Wiki.
…sing Signed-off-by: Tims777 <[email protected]>
Signed-off-by: Tims777 <[email protected]>
Signed-off-by: Nico Hambauer <[email protected]>
Signed-off-by: Tims777 <[email protected]>
Signed-off-by: Tims777 <[email protected]>
…and leave the rest as Controller.md Signed-off-by: Tims777 <[email protected]>
Signed-off-by: Tims777 <[email protected]>
Signed-off-by: Ahmed Sheta <[email protected]>
Signed-off-by: Fabian Utech <[email protected]>
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Very nice overview
Last sprint's deliverables