[scikit-learn] imbalanced classes: class_weight

[S Hamidizade]

Hi

Thanks a lot for your time and consideration. I have seen imblearn but my
question is not related to it.

Best regards,

On Tue, Jun 19, 2018 at 9:04 PM, Christos Aridas <ichkoar at gmail.com> wrote:

> Hi,
>
> Have you seen http://imbalanced-learn.org?
>
> Best,
> Chris
>
> On Tue, 19 Jun 2018 17:53 S Hamidizade, <hamidizade.s at gmail.com> wrote:
>
>> Hi
>>
>> I would appreciate if you could let me know what is the best way to
>> categorize the approaches which have been developed to deal with imbalance
>> class problem?
>>
>> *This article
>> <https://www.sciencedirect.com/science/article/pii/S0020025513005124>
>> categorizes them into:*
>>
>>    1. Preprocessing: includes oversampling, undersampling and hybrid
>>    methods,
>>    2. Cost-sensitive learning: includes direct methods and meta-learning
>>    which the latter further divides into thresholding and sampling,
>>    3. Ensemble techniques: includes cost-sensitive ensembles and data
>>    preprocessing in conjunction with ensemble learning.
>>
>> *The second <https://dl.acm.org/citation.cfm?id=2907070> classification:*
>>
>>    1. Data Pre-processing: includes distribution change and weighting
>>    the data space. One-class learning is considered as distribution change.
>>    2. Special-purpose Learning Methods
>>    3. Prediction Post-processing: includes threshold method and
>>    cost-sensitive post-processing
>>    4. Hybrid Methods:
>>
>> *The third article
>> <https://link.springer.com/article/10.1007/s13748-016-0094-0>:*
>>
>>    1. Data-level methods
>>    2. Algorithm-level methods
>>    3. Hybrid methods
>>
>> The last classification also considers output adjustment as an
>> independent approach.
>>
>> Could you please let me know the class-weight in the sklearn's
>> classifiers e.g., logistic regression is classified into which category? Is
>> it true to say:
>>
>> In case of the first categorization, it falls into cost-sensitive learning
>>
>> In case of the second taxonomy, it would be classified into the third
>> category i.e., cost-sensitive post-processing
>>
>> In case of the third classification, it should fall into algorithm level
>>
>> Best regards,
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>
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