About this document
Model Combination Schemes in ML by AROCKIA PRINCE is a document available to read on EtoBox.
The document discusses various model combination schemes for multiple base-learners, focusing on multiexpert and multistage methods. Multiexpert methods include global approaches like voting and stacking, as well as local approaches such as mixture of experts, while multistage methods employ a serial approach to train base-learners based on the accuracy of previous ones. The final output is generated by combining predictions from these base-learners, often selecting the maximum value in classification tasks
- Author
- AROCKIA PRINCE
- Language
- EN