One major advantage of _______ methods over filter methods for feature selection is that they can capture the interaction between input features.
- Embedded
- Filter
- PCA
- Wrapper
One major advantage of wrapper methods over filter methods for feature selection is that they can capture the interaction between input features. Unlike filter methods that evaluate each feature independently, wrapper methods consider the subset of features and can thus capture interactions among features.
Loading...
Related Quiz
- What is the importance of understanding data distributions in Exploratory Data Analysis?
- What measure of central tendency is also known as the 50th percentile or the second quartile?
- You're working on a high-dimensional dataset with many redundant features. Which feature selection methods might help reduce the dimensionality while maintaining the essential information?
- Imagine you are analyzing a dataset with continuous variables with outliers. The focus is on understanding the linear relationship between these variables. What type of correlation coefficient should you consider?
- What are the key statistical tools used in Confirmatory Data Analysis (CDA)?