 |
Algorithm 1 shows the detailed working on the dynamic voting mechanism with feature and model explorations. In the first parts, parameters and weights are initialized. Next, for each model and feature set pair, the performance is measured which is used to score each participating sub-model. The scores are then used to assign weights dynamically based on their current performance. Finally, the participating models participate in a soft voting with their achieved weights to predict the final outcome. More detail of this algorithm can be found in our paper.
|
IEEE/ICACT20220035 Slide.07
[Big Slide]
[YouTube]