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Classification Methods in Genomics by Huaqing Li is a document available to read on EtoBox.
What is Classification Methods in Genomics about?
Lesson 14 focuses on classification as a supervised learning method, highlighting the differences between training, validation, and new data samples. It introduces three classification methods: recursive partitioning, linear discriminant analysis, and support vector machines, while discussing the importance of avoiding overfitting and the use of validation sets to assess classification accuracy. The lesson includes an example using bone marrow cancer data to illustrate the classification process and the cha
- Author
- Huaqing Li
- Language
- EN