Can I read Random Forests in Land Cover Classification on EtoBox?

Random Forests in Land Cover Classification by kalpanagangwar is a document available to read on EtoBox.

What is Random Forests in Land Cover Classification about?

This study investigates the impact of training data imbalance and mislabelling on the performance of Random Forests (RF) for large area land cover classification. It introduces new ensemble margin criteria and a margin weighted confusion matrix to evaluate classification accuracy and uncertainty, revealing that balanced training data generally leads to lower error rates. The findings indicate that while RF is relatively insensitive to mislabelled data, the associated confidence in predictions decreases sign

Author

kalpanagangwar

Language

EN