# Ultimate Tensile Strength Prediction on Steel Property Prediction Source: [Ultimate Tensile Strength Prediction on Steel Property Prediction]() Collection index: [llms.txt]() Data updated: 2026-03-25T13:09:39.783Z Evaluation of models predicting the Ultimate Tensile Strength 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 | Ultimate Tensile Strength 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. - [ΔM](): Lower is better; unit: SCALAR. ## Recorded results | Method | MAE (%) | Result date | Report paper | | --- | --- | --- | --- | | TabPFN | 1.701 | Not recorded | 69c36c030636e5bf4afc6497 | | TabPFN | 1.704 | Not recorded | 69c36c030636e5bf4afc6497 | | TabPFN | 1.705 | Not recorded | 69c36c030636e5bf4afc6497 | | TabPFN | 1.751 | Not recorded | 69c36c030636e5bf4afc6497 | | XGBoost | 1.78 | Not recorded | 69c36c030636e5bf4afc6497 | | PLE | 1.98 | Not recorded | 69c36c030636e5bf4afc6497 | | MultiTab | 1.992 | Not recorded | 69c36c030636e5bf4afc6497 | | STL | 2.012 | Not recorded | 69c36c030636e5bf4afc6497 | | STEM | 2.014 | Not recorded | 69c36c030636e5bf4afc6497 | | MMoE | 2.018 | Not recorded | 69c36c030636e5bf4afc6497 | | SAINT | 2.021 | Not recorded | 69c36c030636e5bf4afc6497 | | MTL | 2.099 | Not recorded | 69c36c030636e5bf4afc6497 | | FT-Transformer | 2.159 | Not recorded | 69c36c030636e5bf4afc6497 | ### TabPFN MAE (%): 1.701. Result ID: 69c3de9247f34ce924ad4869. [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 (%): 1.704. Result ID: 69c3de9247f34ce924ad486a. [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 (%): 1.705. Result ID: 69c3de9247f34ce924ad486b. [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 (%): 1.751. Result ID: 69c3de9247f34ce924ad4868. [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 (%): 1.78. Result ID: 69c3de9247f34ce924ad4867. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Algorithm":"Gradient Boosting"}. This record does not assert independent reproduction. ### PLE MAE (%): 1.98. Result ID: 69c3de9247f34ce924ad4862. [Reporting paper]() Recorded evaluation configuration: {"Learning Strategy":"Progressive Layered Extraction"}. This record does not assert independent reproduction. ### MultiTab MAE (%): 1.992. Result ID: 69c3de9247f34ce924ad4866. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Learning Strategy":"Multi-Tabular Learning"}. This record does not assert independent reproduction. ### STL MAE (%): 2.012. Result ID: 69c3de9247f34ce924ad485f. [Reporting paper]() Recorded evaluation configuration: {"Learning Strategy":"Single Task Learning"}. This record does not assert independent reproduction. ### STEM MAE (%): 2.014. Result ID: 69c3de9247f34ce924ad4863. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Learning Strategy":"Shared-Task Enhanced Model"}. This record does not assert independent reproduction. ### MMoE MAE (%): 2.018. Result ID: 69c3de9247f34ce924ad4861. [Reporting paper]() Recorded evaluation configuration: {"Learning Strategy":"Mixture-of-Experts"}. This record does not assert independent reproduction. ### SAINT MAE (%): 2.021. Result ID: 69c3de9247f34ce924ad4865. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Architecture":"Transformer-based"}. This record does not assert independent reproduction. ### MTL MAE (%): 2.099. Result ID: 69c3de9247f34ce924ad4860. [Reporting paper]() Recorded evaluation configuration: {"Learning Strategy":"Multi-Task Learning"}. This record does not assert independent reproduction. ### FT-Transformer MAE (%): 2.159. Result ID: 69c3de9247f34ce924ad4864. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Architecture":"Transformer-based"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.