Update results/BOOM_leaderboard.csv

results/BOOM_leaderboard.csv

@@ -1,15 +1,15 @@
 model,model_type,MASE_6750_scaled,CRPS_6750_scaled,Rank_6750_scaled
-Toto-Open-Base-1.0,pretrained,0.617,0.375,2.351
-moirai_1.1_base,pretrained,0.710,0.428,4.278
-moirai_1.1_large,pretrained,0.720,0.436,4.499
-moirai_1.1_small,pretrained,0.738,0.447,4.796
-timesfm_2_0_500m,pretrained,0.725,0.447,5.153
-chronos_bolt_base,pretrained,0.726,0.451,5.446
-chronos_bolt_small,pretrained,0.733,0.455,5.793
-autoarima,statistical,0.824,0.736,9.171
-timer,pretrained,0.796,0.639,9.356
-time-moe,pretrained,0.806,0.649,9.369
-visionts,pretrained,0.991,0.675,10.336
-autoets,statistical,0.842,1.975,10.956
-autotheta,statistical,1.123,1.018,11.712
-naive,statistical,1.000,1.000,11.783
+Toto-Open-Base-1.0,pretrained,0.617,0.375,2.336
+moirai_1.1_base,pretrained,0.710,0.428,4.253
+moirai_1.1_large,pretrained,0.720,0.436,4.481
+moirai_1.1_small,pretrained,0.729,0.442,4.820
+timesfm_2_0_500m,pretrained,0.725,0.447,5.155
+chronos_bolt_base,pretrained,0.726,0.451,5.447
+chronos_bolt_small,pretrained,0.733,0.455,5.792
+autoarima,statistical,0.824,0.736,9.166
+timer,pretrained,0.796,0.639,9.370
+time-moe,pretrained,0.806,0.649,9.381
+visionts,pretrained,0.988,0.673,10.317
+autoets,statistical,0.842,1.975,10.968
+autotheta,statistical,1.123,1.018,11.724
+seasonalnaive,statistical,1.000,1.000,11.791