# Predictive Model Routing on RouterBench Cost-Sensitive Source: [Predictive Model Routing on RouterBench Cost-Sensitive]() Collection index: [llms.txt]() Data updated: 2026-06-01T08:34:35.474Z Evaluation of Predictive Model Routing performance on the RouterBench Cost-Sensitive dataset, measured by Reward, Accuracy, and Cost. 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 | Predictive Model Routing | | Dataset (including any stated split) | RouterBench Cost-Sensitive | | Metric | Reward | | Unit | SCALAR | | Direction | Higher is better | | Results loaded | 8 of 8 | | 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 - [Reward](): Higher is better; unit: SCALAR. - [Accuracy](): Higher is better; unit: PERCENT. - [Cost](): Lower is better; unit: OTHER. ## Recorded results | Method | Reward | Result date | Report paper | | --- | --- | --- | --- | | Oracle | 0.6226 | Not recorded | 6a1d11e0dbd7150506f83dd0 | | UNISCALE | 0.6196 | Not recorded | 6a1d11e0dbd7150506f83dd0 | | MLP | 0.6161 | Not recorded | 6a1d11e0dbd7150506f83dd0 | | Greedy | 0.5873 | Not recorded | 6a1d11e0dbd7150506f83dd0 | | k-NN | 0.5819 | Not recorded | 6a1d11e0dbd7150506f83dd0 | | NeuralUCB | 0.4849 | Not recorded | 6a1d11e0dbd7150506f83dd0 | | Random | 0.4733 | Not recorded | 6a1d11e0dbd7150506f83dd0 | | TS | 0.4541 | Not recorded | 6a1d11e0dbd7150506f83dd0 | ### Oracle Reward: 0.6226. Result ID: 6a1d42ecfbc373592c1672f8. [Reporting paper]() Recorded evaluation configuration: {"Number of seeds":"5","Iterations":"160","Warm-up phase":"50-step"}. This record does not assert independent reproduction. ### UNISCALE Reward: 0.6196. Result ID: 6a1d42ecfbc373592c1672f7. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Number of seeds":"5","Iterations":"160","Warm-up phase":"50-step"}. This record does not assert independent reproduction. ### MLP Reward: 0.6161. Result ID: 6a1d42ecfbc373592c1672f3. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Number of seeds":"5","Iterations":"160","Warm-up phase":"50-step"}. This record does not assert independent reproduction. ### Greedy Reward: 0.5873. Result ID: 6a1d42ecfbc373592c1672f2. [Reporting paper]() Recorded evaluation configuration: {"Number of seeds":"5","Iterations":"160","Warm-up phase":"50-step"}. This record does not assert independent reproduction. ### k-NN Reward: 0.5819. Result ID: 6a1d42ecfbc373592c1672f4. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Number of seeds":"5","Iterations":"160","Warm-up phase":"50-step"}. This record does not assert independent reproduction. ### NeuralUCB Reward: 0.4849. Result ID: 6a1d42ecfbc373592c1672f5. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Number of seeds":"5","Iterations":"160","Warm-up phase":"50-step"}. This record does not assert independent reproduction. ### Random Reward: 0.4733. Result ID: 6a1d42ecfbc373592c1672f1. [Reporting paper]() Recorded evaluation configuration: {"Number of seeds":"5","Iterations":"160","Warm-up phase":"50-step"}. This record does not assert independent reproduction. ### TS Reward: 0.4541. Result ID: 6a1d42ecfbc373592c1672f6. [Reporting paper]() Recorded evaluation configuration: {"Number of seeds":"5","Iterations":"160","Warm-up phase":"50-step"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.