A ten-level recursive stacking architecture with OOF-based pruning and periodic feature compression improves accuracy with depth on 33 tabular datasets and slightly beats TabNet and Deep Forest on selected configurations.
The European Physical Journal Special Topics URL:https://link.springer.com/ article/10.1140/epjs/s11734-024-01308-x
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RocketStack: Level-aware Deep Recursive Ensemble Learning Architecture
A ten-level recursive stacking architecture with OOF-based pruning and periodic feature compression improves accuracy with depth on 33 tabular datasets and slightly beats TabNet and Deep Forest on selected configurations.