# 2" Elongation Prediction on Steel Property Prediction Source: [2" Elongation Prediction on Steel Property Prediction]() Collection index: [llms.txt]() Data updated: 2026-03-25T13:09:39.862Z Evaluation of models predicting the 2" Elongation property for the Steel Property Prediction dataset, utilizing metrics such as MAE%, PAM 5, PAM 2.5, EV, and ΔM. A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. | Scope | Recorded value | | --- | --- | | Task | 2" Elongation Prediction | | Dataset (including any stated split) | Steel Property Prediction | | Metric | MAE (%) | | Unit | PERCENT | | Direction | Lower is better | | Results loaded | 13 of 13 | | Coverage | All results currently returned for this benchmark | Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol. ## Metrics - [MAE (%)](): Lower is better; unit: PERCENT. - [PAM 5](): Higher is better; unit: PERCENT. - [PAM 2.5](): Higher is better; unit: PERCENT. - [EV](): Higher is better; unit: PERCENT. - [Delta M](): Lower is better; unit: SCALAR. ## Recorded results | Method | MAE (%) | Result date | Report paper | | --- | --- | --- | --- | | TabPFN | 3.611 | Not recorded | 69c36c030636e5bf4afc6497 | | TabPFN | 3.623 | Not recorded | 69c36c030636e5bf4afc6497 | | TabPFN | 3.642 | Not recorded | 69c36c030636e5bf4afc6497 | | TabPFN | 3.656 | Not recorded | 69c36c030636e5bf4afc6497 | | XGBoost | 3.724 | Not recorded | 69c36c030636e5bf4afc6497 | | STL | 3.762 | Not recorded | 69c36c030636e5bf4afc6497 | | SAINT | 3.781 | Not recorded | 69c36c030636e5bf4afc6497 | | MMoE | 3.79 | Not recorded | 69c36c030636e5bf4afc6497 | | PLE | 3.826 | Not recorded | 69c36c030636e5bf4afc6497 | | FT-Transformer | 3.864 | Not recorded | 69c36c030636e5bf4afc6497 | | MultiTab | 3.915 | Not recorded | 69c36c030636e5bf4afc6497 | | STEM | 3.956 | Not recorded | 69c36c030636e5bf4afc6497 | | MTL | 3.987 | Not recorded | 69c36c030636e5bf4afc6497 | ### TabPFN MAE (%): 3.611. Result ID: 69c3de9247f34ce924ad4878. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Fine-tuning Protocol":"m.a.f.t. (multitask adapter fine-tuning)"}. This record does not assert independent reproduction. ### TabPFN MAE (%): 3.623. Result ID: 69c3de9247f34ce924ad4877. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Fine-tuning Protocol":"m.f.t. (multitask fine-tuning)"}. This record does not assert independent reproduction. ### TabPFN MAE (%): 3.642. Result ID: 69c3de9247f34ce924ad4876. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Fine-tuning Protocol":"s.f.t. (single-task fine-tuning)"}. This record does not assert independent reproduction. ### TabPFN MAE (%): 3.656. Result ID: 69c3de9247f34ce924ad4875. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Fine-tuning Protocol":"n.f.t. (no fine-tuning)"}. This record does not assert independent reproduction. ### XGBoost MAE (%): 3.724. Result ID: 69c3de9247f34ce924ad4874. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Algorithm":"Gradient Boosting"}. This record does not assert independent reproduction. ### STL MAE (%): 3.762. Result ID: 69c3de9247f34ce924ad486c. [Reporting paper]() Recorded evaluation configuration: {"Learning Strategy":"Single Task Learning"}. This record does not assert independent reproduction. ### SAINT MAE (%): 3.781. Result ID: 69c3de9247f34ce924ad4872. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Architecture":"Transformer-based"}. This record does not assert independent reproduction. ### MMoE MAE (%): 3.79. Result ID: 69c3de9247f34ce924ad486e. [Reporting paper]() Recorded evaluation configuration: {"Learning Strategy":"Mixture-of-Experts"}. This record does not assert independent reproduction. ### PLE MAE (%): 3.826. Result ID: 69c3de9247f34ce924ad486f. [Reporting paper]() Recorded evaluation configuration: {"Learning Strategy":"Progressive Layered Extraction"}. This record does not assert independent reproduction. ### FT-Transformer MAE (%): 3.864. Result ID: 69c3de9247f34ce924ad4871. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Architecture":"Transformer-based"}. This record does not assert independent reproduction. ### MultiTab MAE (%): 3.915. Result ID: 69c3de9247f34ce924ad4873. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Learning Strategy":"Multi-Tabular Learning"}. This record does not assert independent reproduction. ### STEM MAE (%): 3.956. Result ID: 69c3de9247f34ce924ad4870. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Learning Strategy":"Shared-Task Enhanced Model"}. This record does not assert independent reproduction. ### MTL MAE (%): 3.987. Result ID: 69c3de9247f34ce924ad486d. [Reporting paper]() Recorded evaluation configuration: {"Learning Strategy":"Multi-Task Learning"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.