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Maximize AUC
pb42
I recognize that this is a general question, but I am seeking some general guidance on approaches to consider to improve the AUC of a model. The data set I have is student data, and I need to develop a model that will predict the outcome of a student (successful/not successful). The results will be assessed by the AUC (yes, this is a course assignment). I have tried many models and many ensemble models, but am still falling short of the AUC that is set by the professor.
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sara20
@pb42
,
Hello
AUC is an abbrevation for
area under the curve
. It is used in classification analysis in order to determine which of the used models predicts the classes best.
Also you can use this video.
https://academy.rapidminer.com/courses/performance-auc-demo
I hope this helps
Sara
BalazsBaranyRM
Hi!
There are many ways to get better models (which will lead to a higher AUC).
Some approaches:
- Attribute selection (remove irrelevant or noisy attributes)
- Attribute generation (sometimes the relation between attributes, their product or division or difference are also relevant indicators that help the model make better decisions)
- Downsampling the majority class if you have imbalances in the data, or weighting the minority class
- Model parameter optimization
Search for these techniques in the Academy, there are videos for all of them.
Regards,
Balázs
All comments
sara20
@pb42
,
Hello
AUC is an abbrevation for
area under the curve
. It is used in classification analysis in order to determine which of the used models predicts the classes best.
Also you can use this video.
https://academy.rapidminer.com/courses/performance-auc-demo
I hope this helps
Sara
BalazsBaranyRM
Hi!
There are many ways to get better models (which will lead to a higher AUC).
Some approaches:
- Attribute selection (remove irrelevant or noisy attributes)
- Attribute generation (sometimes the relation between attributes, their product or division or difference are also relevant indicators that help the model make better decisions)
- Downsampling the majority class if you have imbalances in the data, or weighting the minority class
- Model parameter optimization
Search for these techniques in the Academy, there are videos for all of them.
Regards,
Balázs
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