Handling Imbalanced dataset

0 votes
What would be your strategy to handle a situation indicating an imbalanced dataset?
Oct 17, 2018 in Data Analytics by shams
• 3,670 points
885 views

1 answer to this question.

0 votes
This usually occurs when a vast set of data keep in a single class. Sampling the dataset again is one of the possible solutions and the other one being the migration of data to parallel classes. The dataset should not be damaged.

Hope this helps
answered Oct 17, 2018 by kurt_cobain
• 9,350 points

Related Questions In Data Analytics

0 votes
1 answer

How to refresh shiny dataset?

When you refresh the page in the ...READ MORE

answered May 31, 2018 in Data Analytics by Sahiti
• 6,370 points
1,936 views
0 votes
1 answer

How to cluster a very large dataset in R?

You can initially use kmeans, to calculate ...READ MORE

answered Jun 19, 2018 in Data Analytics by Sahiti
• 6,370 points
3,057 views
0 votes
1 answer

Treat outliers in Dataset

Outlier values can be identified by using ...READ MORE

answered Jul 12, 2018 in Data Analytics by Sahiti
• 6,370 points
815 views
+1 vote
3 answers

Number of missing values in dataset

Try this, lapply(airquality, function(x) { sum(is.na(x)) }) READ MORE

answered Aug 7, 2019 in Data Analytics by anonymous
4,350 views
0 votes
1 answer

How do you know which whether to apply supervised learning or unsupervised learning on a dataset

Supervised Learning is applied when we have ...READ MORE

answered Aug 21, 2018 in Data Analytics by Abhi
• 3,720 points
858 views
0 votes
0 answers

Hello I have some errors while implementing variational autoencoder

def dense_layers(sizes): return tfk.Sequential([tfkl.Dense(size, ...READ MORE

May 19, 2019 in Machine Learning by anonymous

edited May 20, 2019 by Omkar 1,398 views
0 votes
1 answer

Pycharm error: could not find a version that satisfies the requirement

Check the python version installed. Tensorflow is ...READ MORE

answered May 29, 2019 in Data Analytics by Zulaikha
• 910 points
3,077 views
0 votes
1 answer

keras model.fit_generator() several times slower than model.fit()

You may want to check out the ...READ MORE

answered May 31, 2019 in Python by SDeb
• 13,300 points
3,176 views
0 votes
1 answer

AttributeError: module 'tensorflow.compat' has no attribute 'v1'

Hi@Usman, It seems you are using an older ...READ MORE

answered Jul 19, 2020 in Machine Learning by MD
• 95,460 points
3,893 views
webinar REGISTER FOR FREE WEBINAR X
REGISTER NOW
webinar_success Thank you for registering Join Edureka Meetup community for 100+ Free Webinars each month JOIN MEETUP GROUP