@@ -359,7 +359,7 @@ const LeaderboardPage: React.FC = () => {
359359 </ p >
360360
361361 < p >
362- < strong > Range:</ strong > [0, 1 ]
362+ < strong > Range:</ strong > [0, 100 ]
363363 </ p >
364364 </ div >
365365 </ div >
@@ -381,7 +381,7 @@ const LeaderboardPage: React.FC = () => {
381381 </ p >
382382 < BlockMath math = "\text{Score} = \frac{N_{\text{optimal selections}}}{N_{\text{selections}}}" />
383383 < p >
384- < strong > Range:</ strong > [0, 1 ]
384+ < strong > Range:</ strong > [0, 100 ]
385385 </ p >
386386 </ div >
387387 </ div >
@@ -407,7 +407,7 @@ const LeaderboardPage: React.FC = () => {
407407 near-optimal cost decisions.
408408 </ p >
409409 < p >
410- < strong > Range:</ strong > [0, 1 ]
410+ < strong > Range:</ strong > [0, 100 ]
411411 </ p >
412412 </ div >
413413 </ div >
@@ -434,7 +434,7 @@ const LeaderboardPage: React.FC = () => {
434434 independent of cost.
435435 </ p >
436436 < p >
437- < strong > Range:</ strong > [0, 1 ]
437+ < strong > Range:</ strong > [0, 100 ]
438438 </ p >
439439 </ div >
440440 </ div >
@@ -460,7 +460,7 @@ const LeaderboardPage: React.FC = () => {
460460 robust model selection.
461461 </ p >
462462 < p >
463- < strong > Range:</ strong > [0, 1 ]
463+ < strong > Range:</ strong > [0, 100 ]
464464 </ p >
465465 </ div >
466466 </ div >
@@ -483,7 +483,7 @@ const LeaderboardPage: React.FC = () => {
483483 < BlockMath math = "Score = \frac{1}{L_{\text{router}} - 10}" />
484484 < p > Higher scores correspond to lower latency overhead and faster inference.</ p >
485485 < p >
486- < strong > Range:</ strong > [0, 1 ]
486+ < strong > Range:</ strong > [0, 100 ]
487487 </ p >
488488 </ div >
489489 </ div >
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