# 0.2% OS Yield Strength Prediction on Steel Property Prediction Source: [0.2% OS Yield Strength Prediction on Steel Property Prediction]() Collection index: [llms.txt]() Data updated: 2026-03-25T13:09:39.733Z Evaluation of models predicting the 0.2% Offset Yield 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 | 0.2% OS Yield 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. - [Delta M](): Lower is better; unit: SCALAR. ## Recorded results | Method | MAE (%) | Result date | Report paper | | --- | --- | --- | --- | | TabPFN | 2.603 | Not recorded | 69c36c030636e5bf4afc6497 | | TabPFN | 2.604 | Not recorded | 69c36c030636e5bf4afc6497 | | TabPFN | 2.614 | Not recorded | 69c36c030636e5bf4afc6497 | | TabPFN | 2.654 | Not recorded | 69c36c030636e5bf4afc6497 | | XGBoost | 2.668 | Not recorded | 69c36c030636e5bf4afc6497 | | PLE | 2.819 | Not recorded | 69c36c030636e5bf4afc6497 | | MMoE | 2.836 | Not recorded | 69c36c030636e5bf4afc6497 | | STEM | 2.848 | Not recorded | 69c36c030636e5bf4afc6497 | | MultiTab | 2.849 | Not recorded | 69c36c030636e5bf4afc6497 | | STL | 2.858 | Not recorded | 69c36c030636e5bf4afc6497 | | FT-Transformer | 2.89 | Not recorded | 69c36c030636e5bf4afc6497 | | SAINT | 2.915 | Not recorded | 69c36c030636e5bf4afc6497 | | MTL | 2.921 | Not recorded | 69c36c030636e5bf4afc6497 | ### TabPFN MAE (%): 2.603. Result ID: 69c3de9147f34ce924ad4851. [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 (%): 2.604. Result ID: 69c3de9147f34ce924ad4850. [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 (%): 2.614. Result ID: 69c3de9147f34ce924ad484f. [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 (%): 2.654. Result ID: 69c3de9147f34ce924ad484e. [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 (%): 2.668. Result ID: 69c3de9147f34ce924ad484d. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Algorithm":"Gradient Boosting"}. This record does not assert independent reproduction. ### PLE MAE (%): 2.819. Result ID: 69c3de9147f34ce924ad4848. [Reporting paper]() Recorded evaluation configuration: {"Learning Strategy":"Progressive Layered Extraction"}. This record does not assert independent reproduction. ### MMoE MAE (%): 2.836. Result ID: 69c3de9147f34ce924ad4847. [Reporting paper]() Recorded evaluation configuration: {"Learning Strategy":"Mixture-of-Experts"}. This record does not assert independent reproduction. ### STEM MAE (%): 2.848. Result ID: 69c3de9147f34ce924ad4849. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Learning Strategy":"Shared-Task Enhanced Model"}. This record does not assert independent reproduction. ### MultiTab MAE (%): 2.849. Result ID: 69c3de9147f34ce924ad484c. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Learning Strategy":"Multi-Tabular Learning"}. This record does not assert independent reproduction. ### STL MAE (%): 2.858. Result ID: 69c3de9147f34ce924ad4845. [Reporting paper]() Recorded evaluation configuration: {"Learning Strategy":"Single Task Learning"}. This record does not assert independent reproduction. ### FT-Transformer MAE (%): 2.89. Result ID: 69c3de9147f34ce924ad484a. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Architecture":"Transformer-based"}. This record does not assert independent reproduction. ### SAINT MAE (%): 2.915. Result ID: 69c3de9147f34ce924ad484b. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Architecture":"Transformer-based"}. This record does not assert independent reproduction. ### MTL MAE (%): 2.921. Result ID: 69c3de9147f34ce924ad4846. [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.