How to resample

Question

How to resample

DFB

2022年5月14日 03:03

I have to deal with a small dataset. I thought that I maght take advantage of resamplin methods to enlarge the population and improve the performance of my regression algorithm. I heard about SMOTE, but it is used for classification in imbalanced datasets. Is there any method to create synthetic data of a small size dataset? Thanks.

Topic regression python

Category Data Science

fuwiak · Accepted Answer · 2020年3月29日 12:01

please check out library imbalanced-learn (python). Have you some example of code:

#assuming that you have X and y

from imblearn.over_sampling import SMOTE

smote = SMOTE(ratio='minority')
X_sm, y_sm = smote.fit_sample(X, y)

Documentation:

https://imbalanced-learn.readthedocs.io/en/stable/generated/imblearn.under_sampling.TomekLinks.html

https://imbalanced-learn.readthedocs.io/en/stable/generated/imblearn.over_sampling.SMOTE.html

SUN · Accepted Answer · 2019年8月2日 00:56

1

SUN answered at 2019年8月2日 00:56

As suggested by others, use oversampling SMOTE, it will balance your data set and create more examples(based on neighbors) equals to your majority class.

Joey Fueng · Accepted Answer · 2019年8月1日 21:20

1

Joey Fueng answered at 2019年8月1日 21:20

You can also try the GAN's to generate some pseudo data.

Nikita Vikhe · Accepted Answer · 2019年8月1日 19:16

1

Nikita Vikhe answered at 2019年8月1日 19:16

You can use Bootstrapped regression.

How to resample

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