Which of the following methods is used to convert categorical variables into a format that can be provided to machine learning algorithms to improve model performance?
- One-Hot Encoding
- Principal Component Analysis (PCA)
- K-Means Clustering
- Regression Analysis
One-Hot Encoding is a technique used to convert categorical variables into a binary format that machine learning algorithms can understand. It helps prevent a categorical variable's values from being treated as ordinal and is essential for improving the performance of models that use categorical data.
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