Knowee
Questions
Features
Study Tools

Question 1These are all methods of dealing with unbalanced classes EXCEPT:1 pointDownsampling.Mix of in-sample and out-of-sample.Mix of downsampling and upsampling.Upsampling.

Question

Question 1These are all methods of dealing with unbalanced classes EXCEPT:1 pointDownsampling.Mix of in-sample and out-of-sample.Mix of downsampling and upsampling.Upsampling.

🧐 Not the exact question you are looking for?Go ask a question

Solution

The correct answer is "Mix of in-sample and out-of-sample." This is not a method used to deal with unbalanced classes. The other options, Downsampling, Upsampling, and a mix of downsampling and upsampling, are all techniques used to balance classes in a dataset.

In-sample and out-of-sample are terms used in statistics and machine learning to describe whether data was used in the training phase (in-sample) or in the testing phase (out-of-sample). They are not techniques used to balance classes.

This problem has been solved

Similar Questions

Which of the following is NOT a common technique for handling imbalanced classes in data preprocessing?a.Undersamplingb.Oversamplingc.Stratified samplingd.Random sampling

What intuitive technique is used for unbalanced datasets that ensures a continuous downsample for each of the bootstrap samples?1 pointDownsamplingUpsamplingSMOTEBlagging

Question 7When working with unbalanced sets, what should be done to the samples so the class balance remains consistent in both the train and test set?1 pointStratify the samplesUse oversamplingUse a combination of oversampling and undersamplingApply weighted observations

Question 9What approach are you using when you create a new sample of a minority class that does not yet exist?1 pointOversamplingSynthetic OversamplingRandom OversamplingWeighting

How does boosting handle class imbalance?Review LaterBoosting oversamples the majority class to balance the classes.Boosting assigns higher weights to misclassified instances to focus on the minority class.Boosting assigns higher weights to correctly classified instances to focus on the minority class.Boosting uses undersampling to balance the classes.

1/2

Upgrade your grade with Knowee

Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.