1.Question 1Which of the following statements about Downsampling is TRUE?1 pointDownsampling is likely to decrease Precision.Downsampling results in excessive focus on the more frequently-occurring class.Downsampling is likely to decrease Recall.Downsampling preserves all the original observations.
Question
1.Question 1Which of the following statements about Downsampling is TRUE?1 pointDownsampling is likely to decrease Precision.Downsampling results in excessive focus on the more frequently-occurring class.Downsampling is likely to decrease Recall.Downsampling preserves all the original observations.
Solution
The correct statement about Downsampling is "Downsampling is likely to decrease Precision."
Here's why:
Downsampling is a technique used to balance an imbalanced dataset. It involves randomly removing observations from the majority class to prevent its signal from dominating the learning algorithm.
However, while this method can help improve the balance of classes, it can also result in a loss of information. If a significant number of instances from the majority class are removed, the algorithm may fail to capture some important patterns, which can lead to a decrease in precision.
Precision is a measure of a model's relevancy, calculated as the number of true positives divided by the total number of elements labeled as relevant by the classifier (i.e., the sum of true positives and false positives). Therefore, if downsampling leads to the model missing some relevant patterns, it can result in a higher number of false positives, thereby decreasing precision.
Similar Questions
Which of the following statements about Random Upsampling is TRUE?1 pointRandom Upsampling generates observations that were not part of the original data.Random Upsampling will generally lead to a higher F1 score.Random Upsampling preserves all original observations.Random Upsampling results in excessive focus on the more frequently-occurring class.
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.
Which of the following statements is true regarding class imbalance?Group of answer choicesA label with class imbalance will always be challenging to model.An accuracy of 99% can be bad when there is high class imbalance.Upsampling is always better than downsampling.Class imbalance is a pretty rare problem to worry about.
Which of the following statements about Synthetic Upsampling is TRUE?1 pointSynthetic Upsampling results in excessive focus on the more frequently-occurring class.Synthetic Upsampling generates observations that were not part of the original data.Synthetic Upsampling uses fewer hyperparameters than Random Upsampling.Synthetic Upsampling will generally lead to a higher F1 score.
Mark the following statements TRUE/ FALSE*TRUE FALSESampling error increases as we increase the sample size. Standard error is always non-negative. Sampling error increases as we increase the sample size. Standard error is always non-negative.
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.