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Can I read PCA and Decision Tree for Self-Care Classification on EtoBox?

PCA and Decision Tree for Self-Care Classification by Allan Moreira is a document available to read on EtoBox.

What is PCA and Decision Tree for Self-Care Classification about?

The document discusses improving the efficiency of self-care classification for children with physical disabilities using principal component analysis and decision tree algorithms. PCA is used to extract significant features while the decision tree is used to build the classification model. The proposed model achieved an accuracy of 94.29% and PCA-based feature extraction improved the model

Author
Allan Moreira
Language
EN

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