# Trajectory Prediction on Simulated Dataset Source: [Trajectory Prediction on Simulated Dataset]() Collection index: [llms.txt]() Data updated: 2026-03-24T12:34:38.233Z Evaluation of trajectory prediction models on the Simulated Dataset, assessed using Precision, Recall, F1, and Accuracy. 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 | Trajectory Prediction | | Dataset (including any stated split) | Simulated Dataset | | Metric | Precision | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 18 of 18 | | 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 - [Precision](): Higher is better; unit: PERCENT. - [Recall](): Higher is better; unit: PERCENT. - [F1 Score](): Higher is better; unit: PERCENT. - [Accuracy](): Higher is better; unit: PERCENT. ## Recorded results | Method | Precision | Result date | Report paper | | --- | --- | --- | --- | | OPT | 95.25 | Not recorded | 68fa78881e209131cea78e6a | | GPT-2-Medium | 95.13 | Not recorded | 68fa78881e209131cea78e6a | | pythia | 95.1 | Not recorded | 68fa78881e209131cea78e6a | | GPT-2-Large | 94.89 | Not recorded | 68fa78881e209131cea78e6a | | pythia | 94.56 | Not recorded | 68fa78881e209131cea78e6a | | OPT | 94.37 | Not recorded | 68fa78881e209131cea78e6a | | ALBERT | 94.25 | Not recorded | 68fa78881e209131cea78e6a | | GPT-2 | 94.1 | Not recorded | 68fa78881e209131cea78e6a | | BERT | 93.87 | Not recorded | 68fa78881e209131cea78e6a | | XLNET | 93.76 | Not recorded | 68fa78881e209131cea78e6a | | DEBERTA | 93.53 | Not recorded | 68fa78881e209131cea78e6a | | GPT-Neo | 93.42 | Not recorded | 68fa78881e209131cea78e6a | | ROBERTA | 92.99 | Not recorded | 68fa78881e209131cea78e6a | | PALM | 92.81 | Not recorded | 68fa78881e209131cea78e6a | | bloomz | 89.93 | Not recorded | 68fa78881e209131cea78e6a | | bloomz | 89.01 | Not recorded | 68fa78881e209131cea78e6a | | flan-t5-large | 77.84 | Not recorded | 68fa78881e209131cea78e6a | | flan-t5-base | 76.53 | Not recorded | 68fa78881e209131cea78e6a | ### OPT Precision: 95.25. Result ID: 69c283e247f34ce924aa7687. [Reporting paper]() Recorded evaluation configuration: {"Model Parameters":"1.3b"}. This record does not assert independent reproduction. ### GPT-2-Medium Precision: 95.13. Result ID: 69c283e247f34ce924aa767e. [Reporting paper]() Recorded evaluation configuration: {"Model Parameters":"355M"}. This record does not assert independent reproduction. ### pythia Precision: 95.1. Result ID: 69c283e247f34ce924aa7683. [Reporting paper]() Recorded evaluation configuration: {"Model Parameters":"1b"}. This record does not assert independent reproduction. ### GPT-2-Large Precision: 94.89. Result ID: 69c283e247f34ce924aa767f. [Reporting paper]() Recorded evaluation configuration: {"Model Parameters":"774M"}. This record does not assert independent reproduction. ### pythia Precision: 94.56. Result ID: 69c283e247f34ce924aa7682. [Reporting paper]() Recorded evaluation configuration: {"Model Parameters":"410M"}. This record does not assert independent reproduction. ### OPT Precision: 94.37. Result ID: 69c283e247f34ce924aa7686. [Reporting paper]() Recorded evaluation configuration: {"Model Parameters":"350M"}. This record does not assert independent reproduction. ### ALBERT Precision: 94.25. Result ID: 69c283e247f34ce924aa7677. [Reporting paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### GPT-2 Precision: 94.1. Result ID: 69c283e247f34ce924aa767d. [Reporting paper]() Recorded evaluation configuration: {"Model Parameters":"124M"}. This record does not assert independent reproduction. ### BERT Precision: 93.87. Result ID: 69c283e247f34ce924aa7676. [Reporting paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### XLNET Precision: 93.76. Result ID: 69c283e247f34ce924aa767b. [Reporting paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### DEBERTA Precision: 93.53. Result ID: 69c283e247f34ce924aa767a. [Reporting paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### GPT-Neo Precision: 93.42. Result ID: 69c283e247f34ce924aa767c. [Reporting paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### ROBERTA Precision: 92.99. Result ID: 69c283e247f34ce924aa7679. [Reporting paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### PALM Precision: 92.81. Result ID: 69c283e247f34ce924aa7678. [Reporting paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### bloomz Precision: 89.93. Result ID: 69c283e247f34ce924aa7685. [Reporting paper]() Recorded evaluation configuration: {"Model Parameters":"1b1"}. This record does not assert independent reproduction. ### bloomz Precision: 89.01. Result ID: 69c283e247f34ce924aa7684. [Reporting paper]() Recorded evaluation configuration: {"Model Parameters":"560m"}. This record does not assert independent reproduction. ### flan-t5-large Precision: 77.84. Result ID: 69c283e247f34ce924aa7681. [Reporting paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### flan-t5-base Precision: 76.53. Result ID: 69c283e247f34ce924aa7680. [Reporting paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.