diff --git a/README.md b/README.md
index da32d64..51081f1 100644
--- a/README.md
+++ b/README.md
@@ -40,33 +40,33 @@ The current paper version describes:
| # | Estimator | Accuracy rank | Accuracy | Balanced accuracy | AUROC | F1 | Log loss ↓ | Sensitivity | Specificity |
|---|---|---|---|---|---|---|---|---|---|
-| 1 | HC2 | **7.64** | **0.7917** | **0.7557** | **0.8935** | **0.7302** | **0.5350** | 0.7469 | **0.7998** |
-| 2 | MRHydra | 9.08 | 0.7794 | 0.7520 | 0.8040 | 0.7266 | 7.9526 | **0.7577** | 0.7768 |
-| 3 | RDST | 9.46 | 0.7729 | 0.7386 | 0.7928 | 0.7075 | 8.1867 | 0.7172 | 0.7902 |
-| 4 | RIST | 9.85 | 0.7744 | 0.7451 | 0.8679 | 0.7174 | 0.6150 | 0.7416 | 0.7743 |
-| 5 | CIF | 10.23 | 0.7770 | 0.7487 | 0.8842 | 0.7246 | 0.6442 | 0.7459 | 0.7780 |
-| 6 | DrCIF | 10.25 | 0.7731 | 0.7433 | 0.8745 | 0.7189 | 0.6430 | 0.7400 | 0.7736 |
-| 7 | QUANT | 10.70 | 0.7668 | 0.7404 | 0.8694 | 0.7166 | 0.7285 | 0.7491 | 0.7570 |
-| 8 | LITETime-MV | 10.95 | 0.7511 | 0.7320 | 0.8503 | 0.6878 | 1.3004 | 0.7167 | 0.7660 |
-| 9 | Arsenal | 11.04 | 0.7663 | 0.7335 | 0.8419 | 0.7061 | 3.6444 | 0.7266 | 0.7752 |
-| 10 | ROCKET | 11.09 | 0.7690 | 0.7362 | 0.7925 | 0.7065 | 8.3274 | 0.7228 | 0.7798 |
-| 11 | STSF | 11.29 | 0.7727 | 0.7508 | 0.8723 | 0.7164 | 0.6685 | 0.7412 | 0.7845 |
-| 12 | H-InceptionTime | 11.61 | 0.7421 | 0.7208 | 0.8447 | 0.6853 | 1.3448 | 0.7227 | 0.7436 |
-| 13 | ConvTran | 12.88 | 0.7490 | 0.7177 | 0.8529 | 0.6862 | 0.8826 | 0.7234 | 0.7419 |
-| 14 | DisjointCNN | 13.08 | 0.7296 | 0.7057 | 0.8246 | 0.6641 | 2.1100 | 0.6815 | 0.7431 |
-| 15 | PatchMTSC | 13.37 | 0.7454 | 0.6990 | 0.8250 | 0.6671 | 0.7818 | 0.6981 | 0.7397 |
-| 16 | Catch22 | 13.47 | 0.7463 | 0.7177 | 0.8605 | 0.6929 | 0.7068 | 0.7229 | 0.7420 |
-| 17 | TSF | 14.01 | 0.7426 | 0.7175 | 0.8571 | 0.6896 | 0.9987 | 0.7095 | 0.7521 |
-| 18 | STC | 14.03 | 0.7507 | 0.7137 | 0.8624 | 0.6803 | 0.6468 | 0.7036 | 0.7611 |
-| 19 | TDE | 14.99 | 0.7251 | 0.6834 | 0.8339 | 0.6446 | 0.8524 | 0.6759 | 0.7349 |
-| 20 | TS2Vec | 15.21 | 0.7201 | 0.6809 | 0.7994 | 0.6527 | 0.7835 | 0.6879 | 0.7144 |
-| 21 | XCM | 16.58 | 0.6706 | 0.6370 | 0.7893 | 0.5771 | 2.1798 | 0.6167 | 0.6875 |
-| 22 | Summary | 16.92 | 0.6845 | 0.6570 | 0.8113 | 0.6299 | 0.9645 | 0.6621 | 0.6852 |
-| 23 | TimesNet | 17.24 | 0.7020 | 0.6709 | 0.8218 | 0.6396 | 1.2889 | 0.6810 | 0.6934 |
-| 24 | TimesURL | 17.36 | 0.6950 | 0.6562 | 0.7831 | 0.6052 | 0.9868 | 0.6312 | 0.7016 |
-| 25 | Dummy | 22.69 | 0.3709 | 0.3067 | 0.5000 | 0.1626 | 1.3928 | 0.2987 | 0.3880 |
-
-Average over the 56 Multiverse-core datasets with results for every estimator on every metric, ordered by average accuracy rank. Best in each column in bold.
+| 1 | HC2 | **7.52** | **0.7936** | **0.7528** | **0.8949** | **0.7337** | **0.5307** | 0.7499 | **0.8018** |
+| 2 | MRHydra | 9.02 | 0.7806 | 0.7503 | 0.8039 | 0.7293 | 7.9077 | **0.7584** | 0.7794 |
+| 3 | RDST | 9.34 | 0.7746 | 0.7371 | 0.7933 | 0.7113 | 8.1235 | 0.7199 | 0.7924 |
+| 4 | RIST | 9.84 | 0.7750 | 0.7428 | 0.8685 | 0.7196 | 0.6087 | 0.7424 | 0.7758 |
+| 5 | CIF | 10.19 | 0.7782 | 0.7459 | 0.8847 | 0.7273 | 0.6376 | 0.7473 | 0.7799 |
+| 6 | DrCIF | 10.36 | 0.7731 | 0.7401 | 0.8743 | 0.7202 | 0.6370 | 0.7396 | 0.7752 |
+| 7 | QUANT | 10.87 | 0.7667 | 0.7370 | 0.8693 | 0.7177 | 0.7198 | 0.7476 | 0.7594 |
+| 8 | Arsenal | 10.99 | 0.7683 | 0.7309 | 0.8425 | 0.7096 | 3.5868 | 0.7293 | 0.7777 |
+| 9 | ROCKET | 11.14 | 0.7698 | 0.7328 | 0.7899 | 0.7088 | 8.2968 | 0.7245 | 0.7811 |
+| 10 | LITETime-MV | 11.16 | 0.7505 | 0.7274 | 0.8511 | 0.6864 | 1.3223 | 0.7113 | 0.7707 |
+| 11 | STSF | 11.23 | 0.7735 | 0.7486 | 0.8722 | 0.7188 | 0.6639 | 0.7417 | 0.7862 |
+| 12 | H-InceptionTime | 11.76 | 0.7418 | 0.7179 | 0.8460 | 0.6881 | 1.3451 | 0.7233 | 0.7428 |
+| 13 | ConvTran | 12.95 | 0.7485 | 0.7152 | 0.8545 | 0.6892 | 0.8930 | 0.7251 | 0.7401 |
+| 14 | Catch22 | 13.09 | 0.7495 | 0.7189 | 0.8622 | 0.6977 | 0.6971 | 0.7263 | 0.7459 |
+| 15 | PatchMTSC | 13.16 | 0.7478 | 0.6996 | 0.8276 | 0.6723 | 0.7796 | 0.7018 | 0.7425 |
+| 16 | DisjointCNN | 13.44 | 0.7267 | 0.7021 | 0.8267 | 0.6662 | 2.1025 | 0.6857 | 0.7344 |
+| 17 | STC | 13.84 | 0.7527 | 0.7109 | 0.8633 | 0.6843 | 0.6397 | 0.7072 | 0.7629 |
+| 18 | TSF | 14.06 | 0.7434 | 0.7142 | 0.8570 | 0.6918 | 0.9812 | 0.7105 | 0.7536 |
+| 19 | TDE | 15.01 | 0.7266 | 0.6811 | 0.8344 | 0.6488 | 0.8411 | 0.6800 | 0.7351 |
+| 20 | TS2Vec | 15.41 | 0.7203 | 0.6798 | 0.8005 | 0.6556 | 0.7806 | 0.6886 | 0.7154 |
+| 21 | Summary | 16.66 | 0.6886 | 0.6585 | 0.8135 | 0.6357 | 0.9475 | 0.6661 | 0.6901 |
+| 22 | XCM | 16.78 | 0.6707 | 0.6357 | 0.7914 | 0.5827 | 2.1902 | 0.6233 | 0.6824 |
+| 23 | TimesNet | 17.22 | 0.7039 | 0.6685 | 0.8236 | 0.6437 | 1.2796 | 0.6824 | 0.6968 |
+| 24 | TimesURL | 17.28 | 0.6973 | 0.6538 | 0.7828 | 0.6099 | 0.9919 | 0.6345 | 0.7050 |
+| 25 | Dummy | 22.66 | 0.3802 | 0.3105 | 0.5000 | 0.1804 | 1.3681 | 0.3192 | 0.3882 |
+
+Average over the 58 Multiverse-core datasets with results for every estimator on every metric, ordered by average accuracy rank. Best in each column in bold.
Rebuilt with `python -m multiverse.experiments.tables`, which also writes a sortable
diff --git a/results/multiverse/DisjointCNN/DisjointCNN_accuracy.csv b/results/multiverse/DisjointCNN/DisjointCNN_accuracy.csv
index 7f5f584..60c54d6 100644
--- a/results/multiverse/DisjointCNN/DisjointCNN_accuracy.csv
+++ b/results/multiverse/DisjointCNN/DisjointCNN_accuracy.csv
@@ -22,6 +22,7 @@ CrowdSourced,0.7430285915990117
DuckDuckGeese,0.6
ERing,0.9555555555555556
EigenWorms,0.6106870229007634
+EmoPain,0.6281690140845071
Epilepsy,0.9782608695652174
EthanolConcentration,0.27756653992395436
EyesOpenShut,0.40476190476190477
diff --git a/results/multiverse/DisjointCNN/DisjointCNN_auroc.csv b/results/multiverse/DisjointCNN/DisjointCNN_auroc.csv
index aea739e..080c66b 100644
--- a/results/multiverse/DisjointCNN/DisjointCNN_auroc.csv
+++ b/results/multiverse/DisjointCNN/DisjointCNN_auroc.csv
@@ -22,6 +22,7 @@ CrowdSourced,0.8060149855068997
DuckDuckGeese,0.8734999999999999
ERing,0.9996049382716049
EigenWorms,0.939828804098903
+EmoPain,0.8969922963526262
Epilepsy,0.9996474772895348
EthanolConcentration,0.5151667219374849
EyesOpenShut,0.4331065759637188
diff --git a/results/multiverse/DisjointCNN/DisjointCNN_balacc.csv b/results/multiverse/DisjointCNN/DisjointCNN_balacc.csv
index 4414cbd..0530412 100644
--- a/results/multiverse/DisjointCNN/DisjointCNN_balacc.csv
+++ b/results/multiverse/DisjointCNN/DisjointCNN_balacc.csv
@@ -22,6 +22,7 @@ CrowdSourced,0.743105311212915
DuckDuckGeese,0.6
ERing,0.9555555555555556
EigenWorms,0.5226262626262625
+EmoPain,0.535280162966401
Epilepsy,0.9779411764705882
EthanolConcentration,0.2776223776223776
EyesOpenShut,0.40476190476190477
diff --git a/results/multiverse/DisjointCNN/DisjointCNN_f1.csv b/results/multiverse/DisjointCNN/DisjointCNN_f1.csv
index f31ecf7..1d8a28c 100644
--- a/results/multiverse/DisjointCNN/DisjointCNN_f1.csv
+++ b/results/multiverse/DisjointCNN/DisjointCNN_f1.csv
@@ -22,6 +22,7 @@ CrowdSourced,0.7888631090487239
DuckDuckGeese,0.5616361416361415
ERing,0.9550962651682063
EigenWorms,0.5339473211773573
+EmoPain,0.7048428320655101
Epilepsy,0.9780092879822783
EthanolConcentration,0.268875415691347
EyesOpenShut,0.4186046511627907
diff --git a/results/multiverse/DisjointCNN/DisjointCNN_logloss.csv b/results/multiverse/DisjointCNN/DisjointCNN_logloss.csv
index 6c07e9f..286e320 100644
--- a/results/multiverse/DisjointCNN/DisjointCNN_logloss.csv
+++ b/results/multiverse/DisjointCNN/DisjointCNN_logloss.csv
@@ -22,6 +22,7 @@ CrowdSourced,5.777233621887509
DuckDuckGeese,2.043216171575822
ERing,0.13835083108857268
EigenWorms,1.1175401751396294
+EmoPain,1.811924632950105
Epilepsy,0.09597854665684544
EthanolConcentration,2.8107859500435426
EyesOpenShut,3.9011231082747133
diff --git a/results/multiverse/DisjointCNN/DisjointCNN_sensitivity.csv b/results/multiverse/DisjointCNN/DisjointCNN_sensitivity.csv
index 1025959..95b8bc4 100644
--- a/results/multiverse/DisjointCNN/DisjointCNN_sensitivity.csv
+++ b/results/multiverse/DisjointCNN/DisjointCNN_sensitivity.csv
@@ -22,6 +22,7 @@ CrowdSourced,0.96045197740113
DuckDuckGeese,0.6
ERing,0.9555555555555556
EigenWorms,0.6106870229007634
+EmoPain,0.6281690140845071
Epilepsy,0.9782608695652174
EthanolConcentration,0.27756653992395436
EyesOpenShut,0.42857142857142855
diff --git a/results/multiverse/DisjointCNN/DisjointCNN_specificity.csv b/results/multiverse/DisjointCNN/DisjointCNN_specificity.csv
index 2d69a80..78be908 100644
--- a/results/multiverse/DisjointCNN/DisjointCNN_specificity.csv
+++ b/results/multiverse/DisjointCNN/DisjointCNN_specificity.csv
@@ -22,6 +22,7 @@ CrowdSourced,0.5257586450247
DuckDuckGeese,0.6
ERing,0.9555555555555556
EigenWorms,0.6106870229007634
+EmoPain,0.6281690140845071
Epilepsy,0.9782608695652174
EthanolConcentration,0.27756653992395436
EyesOpenShut,0.38095238095238093
diff --git a/results/multiverse/HC2/HC2_accuracy.csv b/results/multiverse/HC2/HC2_accuracy.csv
index dc2bbce..513d3fb 100644
--- a/results/multiverse/HC2/HC2_accuracy.csv
+++ b/results/multiverse/HC2/HC2_accuracy.csv
@@ -52,11 +52,13 @@ PenDigits,0.9797026872498571
PhonemeSpectra,0.31404712198031615
PhotoStimulation,0.4166666666666667
RacketSports,0.9013157894736842
+STEW,0.8448372615039281
SelfRegulationSCP1,0.8907849829351536
Skoda,0.960382030420941
SpokenArabicDigits,0.9881764438381082
StandWalkJump,0.4
TactileTextureRecognition,1.0
+Tiselac,0.7703741152679474
UCDHE-Rowing-MC,0.7886363636363637
UCIActivity,0.9862557267805081
UIPRMD-DS-C,1.0
diff --git a/results/multiverse/HC2/HC2_auroc.csv b/results/multiverse/HC2/HC2_auroc.csv
index 0abee34..f207251 100644
--- a/results/multiverse/HC2/HC2_auroc.csv
+++ b/results/multiverse/HC2/HC2_auroc.csv
@@ -52,11 +52,13 @@ PenDigits,0.9994088617415299
PhonemeSpectra,0.9118050226287818
PhotoStimulation,0.5684676434676434
RacketSports,0.9745211293715941
+STEW,0.9225323915045203
SelfRegulationSCP1,0.9619327182927966
Skoda,0.9969445738605183
SpokenArabicDigits,0.9995223846604337
StandWalkJump,0.5133333333333333
TactileTextureRecognition,1.0
+Tiselac,0.9562308908810502
UCDHE-Rowing-MC,0.9547150195459019
UCIActivity,0.9998589849536378
UIPRMD-DS-C,1.0
diff --git a/results/multiverse/HC2/HC2_balacc.csv b/results/multiverse/HC2/HC2_balacc.csv
index c7a3756..7d4ae29 100644
--- a/results/multiverse/HC2/HC2_balacc.csv
+++ b/results/multiverse/HC2/HC2_balacc.csv
@@ -52,11 +52,13 @@ PenDigits,0.9801359297644916
PhonemeSpectra,0.31409028727770183
PhotoStimulation,0.3333333333333333
RacketSports,0.9093023255813953
+STEW,0.8448372615039281
SelfRegulationSCP1,0.8908070077346006
Skoda,0.9539202462208749
SpokenArabicDigits,0.9881797426317975
StandWalkJump,0.4000000000000001
TactileTextureRecognition,1.0
+Tiselac,0.5605762982066498
UCDHE-Rowing-MC,0.7924444444444444
UCIActivity,0.9866506989269137
UIPRMD-DS-C,1.0
diff --git a/results/multiverse/HC2/HC2_f1.csv b/results/multiverse/HC2/HC2_f1.csv
index 25b3f60..a9bdc1e 100644
--- a/results/multiverse/HC2/HC2_f1.csv
+++ b/results/multiverse/HC2/HC2_f1.csv
@@ -52,11 +52,13 @@ PenDigits,0.9796541213707934
PhonemeSpectra,0.3059648052811076
PhotoStimulation,0.25510204081632654
RacketSports,0.9012583564979668
+STEW,0.8410462776659959
SelfRegulationSCP1,0.891156462585034
Skoda,0.9606548944216594
SpokenArabicDigits,0.9881454126634625
StandWalkJump,0.38888888888888895
TactileTextureRecognition,1.0
+Tiselac,0.7538778677818783
UCDHE-Rowing-MC,0.7867549047609365
UCIActivity,0.9861188502098307
UIPRMD-DS-C,1.0
diff --git a/results/multiverse/HC2/HC2_logloss.csv b/results/multiverse/HC2/HC2_logloss.csv
index cee6115..961d4ad 100644
--- a/results/multiverse/HC2/HC2_logloss.csv
+++ b/results/multiverse/HC2/HC2_logloss.csv
@@ -52,11 +52,13 @@ PenDigits,0.13733158187254543
PhonemeSpectra,2.35291964631169
PhotoStimulation,1.1126576647106405
RacketSports,0.37416977911349175
+STEW,0.4523506267538209
SelfRegulationSCP1,0.2967984397676627
Skoda,0.2823476491551809
SpokenArabicDigits,0.18906090756363803
StandWalkJump,1.110307611747587
TactileTextureRecognition,0.08844470538136215
+Tiselac,0.7204977347835975
UCDHE-Rowing-MC,0.7059100588662615
UCIActivity,0.20648496301861372
UIPRMD-DS-C,0.22566949629880087
diff --git a/results/multiverse/HC2/HC2_sensitivity.csv b/results/multiverse/HC2/HC2_sensitivity.csv
index f46f301..8508e37 100644
--- a/results/multiverse/HC2/HC2_sensitivity.csv
+++ b/results/multiverse/HC2/HC2_sensitivity.csv
@@ -52,11 +52,13 @@ PenDigits,0.9797026872498571
PhonemeSpectra,0.31404712198031615
PhotoStimulation,0.4166666666666667
RacketSports,0.9013157894736842
+STEW,0.8209876543209876
SelfRegulationSCP1,0.8972602739726028
Skoda,0.960382030420941
SpokenArabicDigits,0.9881764438381082
StandWalkJump,0.4
TactileTextureRecognition,1.0
+Tiselac,0.7703741152679474
UCDHE-Rowing-MC,0.7886363636363637
UCIActivity,0.9862557267805081
UIPRMD-DS-C,1.0
diff --git a/results/multiverse/HC2/HC2_specificity.csv b/results/multiverse/HC2/HC2_specificity.csv
index 1f1f8a5..fa69522 100644
--- a/results/multiverse/HC2/HC2_specificity.csv
+++ b/results/multiverse/HC2/HC2_specificity.csv
@@ -52,11 +52,13 @@ PenDigits,0.9797026872498571
PhonemeSpectra,0.31404712198031615
PhotoStimulation,0.4166666666666667
RacketSports,0.9013157894736842
+STEW,0.8686868686868687
SelfRegulationSCP1,0.8843537414965986
Skoda,0.960382030420941
SpokenArabicDigits,0.9881764438381082
StandWalkJump,0.4
TactileTextureRecognition,1.0
+Tiselac,0.7703741152679474
UCDHE-Rowing-MC,0.7886363636363637
UCIActivity,0.9862557267805081
UIPRMD-DS-C,1.0
diff --git a/results/multiverse/TDE/TDE_accuracy.csv b/results/multiverse/TDE/TDE_accuracy.csv
index c734d40..de46f31 100644
--- a/results/multiverse/TDE/TDE_accuracy.csv
+++ b/results/multiverse/TDE/TDE_accuracy.csv
@@ -52,6 +52,7 @@ PenDigits,0.8847913093196113
PhonemeSpectra,0.2496271995228154
PhotoStimulation,0.3888888888888889
RacketSports,0.8355263157894737
+STEW,0.7063692480359147
SelfRegulationSCP1,0.8191126279863481
Skoda,0.9204103289706402
SpokenArabicDigits,0.9195088676671214
diff --git a/results/multiverse/TDE/TDE_auroc.csv b/results/multiverse/TDE/TDE_auroc.csv
index 5ce469b..c419ea9 100644
--- a/results/multiverse/TDE/TDE_auroc.csv
+++ b/results/multiverse/TDE/TDE_auroc.csv
@@ -52,6 +52,7 @@ PenDigits,0.9875063182374243
PhonemeSpectra,0.8266142054522128
PhotoStimulation,0.5783821733821735
RacketSports,0.957631859177761
+STEW,0.7749237606139964
SelfRegulationSCP1,0.9258456807380486
Skoda,0.9952000827469243
SpokenArabicDigits,0.9933580427386813
diff --git a/results/multiverse/TDE/TDE_balacc.csv b/results/multiverse/TDE/TDE_balacc.csv
index d3a9758..b6e682d 100644
--- a/results/multiverse/TDE/TDE_balacc.csv
+++ b/results/multiverse/TDE/TDE_balacc.csv
@@ -52,6 +52,7 @@ PenDigits,0.8848021308180737
PhonemeSpectra,0.24968606404994917
PhotoStimulation,0.3111111111111111
RacketSports,0.8502906976744187
+STEW,0.7063692480359147
SelfRegulationSCP1,0.8195415152362315
Skoda,0.9120942331520815
SpokenArabicDigits,0.9195205479452054
diff --git a/results/multiverse/TDE/TDE_f1.csv b/results/multiverse/TDE/TDE_f1.csv
index bb6086f..7b5f385 100644
--- a/results/multiverse/TDE/TDE_f1.csv
+++ b/results/multiverse/TDE/TDE_f1.csv
@@ -52,6 +52,7 @@ PenDigits,0.884181517464376
PhonemeSpectra,0.23874020317394176
PhotoStimulation,0.24305555555555555
RacketSports,0.8335474101921471
+STEW,0.7216385157600744
SelfRegulationSCP1,0.8389057750759878
Skoda,0.921771233546782
SpokenArabicDigits,0.9181939983167722
diff --git a/results/multiverse/TDE/TDE_logloss.csv b/results/multiverse/TDE/TDE_logloss.csv
index eff47aa..7bb82d4 100644
--- a/results/multiverse/TDE/TDE_logloss.csv
+++ b/results/multiverse/TDE/TDE_logloss.csv
@@ -52,6 +52,7 @@ PenDigits,0.6939331589120361
PhonemeSpectra,6.517339029931114
PhotoStimulation,1.1283870794760338
RacketSports,0.41070629899733835
+STEW,0.5864372029017902
SelfRegulationSCP1,0.5171146591886021
Skoda,0.1875074463467951
SpokenArabicDigits,0.4570068697595056
diff --git a/results/multiverse/TDE/TDE_sensitivity.csv b/results/multiverse/TDE/TDE_sensitivity.csv
index d2eade9..8121f01 100644
--- a/results/multiverse/TDE/TDE_sensitivity.csv
+++ b/results/multiverse/TDE/TDE_sensitivity.csv
@@ -52,6 +52,7 @@ PenDigits,0.8847913093196113
PhonemeSpectra,0.2496271995228154
PhotoStimulation,0.3888888888888889
RacketSports,0.8355263157894737
+STEW,0.7612233445566778
SelfRegulationSCP1,0.9452054794520548
Skoda,0.9204103289706402
SpokenArabicDigits,0.9195088676671214
diff --git a/results/multiverse/TDE/TDE_specificity.csv b/results/multiverse/TDE/TDE_specificity.csv
index 5b5e9ec..ceb0314 100644
--- a/results/multiverse/TDE/TDE_specificity.csv
+++ b/results/multiverse/TDE/TDE_specificity.csv
@@ -52,6 +52,7 @@ PenDigits,0.8847913093196113
PhonemeSpectra,0.2496271995228154
PhotoStimulation,0.3888888888888889
RacketSports,0.8355263157894737
+STEW,0.6515151515151515
SelfRegulationSCP1,0.6938775510204082
Skoda,0.9204103289706402
SpokenArabicDigits,0.9195088676671214
diff --git a/results/multiverse/TimesURL/TimesURL_accuracy.csv b/results/multiverse/TimesURL/TimesURL_accuracy.csv
index 28e7b38..17f210b 100644
--- a/results/multiverse/TimesURL/TimesURL_accuracy.csv
+++ b/results/multiverse/TimesURL/TimesURL_accuracy.csv
@@ -22,6 +22,7 @@ CrowdSourced,0.6840804800564773
DuckDuckGeese,0.5
ERing,0.8851851851851852
EigenWorms,0.8549618320610687
+EmoPain,0.8366197183098592
Epilepsy,0.9420289855072463
EthanolConcentration,0.23954372623574144
EyesOpenShut,0.5
diff --git a/results/multiverse/TimesURL/TimesURL_auroc.csv b/results/multiverse/TimesURL/TimesURL_auroc.csv
index 5d44e67..d6ed61b 100644
--- a/results/multiverse/TimesURL/TimesURL_auroc.csv
+++ b/results/multiverse/TimesURL/TimesURL_auroc.csv
@@ -22,6 +22,7 @@ CrowdSourced,0.7748470948012232
DuckDuckGeese,0.7725
ERing,0.9819753086419752
EigenWorms,0.9485469975641881
+EmoPain,0.8388880647503131
Epilepsy,0.9827082206548413
EthanolConcentration,0.5270873799468113
EyesOpenShut,0.4331065759637188
diff --git a/results/multiverse/TimesURL/TimesURL_balacc.csv b/results/multiverse/TimesURL/TimesURL_balacc.csv
index 05a2ad2..2891a50 100644
--- a/results/multiverse/TimesURL/TimesURL_balacc.csv
+++ b/results/multiverse/TimesURL/TimesURL_balacc.csv
@@ -22,6 +22,7 @@ CrowdSourced,0.6841642943435045
DuckDuckGeese,0.5
ERing,0.8851851851851853
EigenWorms,0.8226472078645992
+EmoPain,0.48561151079136694
Epilepsy,0.9441573926868044
EthanolConcentration,0.23933566433566433
EyesOpenShut,0.5
diff --git a/results/multiverse/TimesURL/TimesURL_f1.csv b/results/multiverse/TimesURL/TimesURL_f1.csv
index 6988ae1..519c325 100644
--- a/results/multiverse/TimesURL/TimesURL_f1.csv
+++ b/results/multiverse/TimesURL/TimesURL_f1.csv
@@ -22,6 +22,7 @@ CrowdSourced,0.7446504992867332
DuckDuckGeese,0.4913478260869566
ERing,0.8852171572332718
EigenWorms,0.8520288596624473
+EmoPain,0.8150529324542688
Epilepsy,0.9418486609229948
EthanolConcentration,0.2415233857922727
EyesOpenShut,0.6666666666666666
diff --git a/results/multiverse/TimesURL/TimesURL_logloss.csv b/results/multiverse/TimesURL/TimesURL_logloss.csv
index 769b055..230cb78 100644
--- a/results/multiverse/TimesURL/TimesURL_logloss.csv
+++ b/results/multiverse/TimesURL/TimesURL_logloss.csv
@@ -22,6 +22,7 @@ CrowdSourced,0.6811406478510141
DuckDuckGeese,1.5354294896775442
ERing,0.5886295866172955
EigenWorms,0.6568276741658519
+EmoPain,0.63623861409052
Epilepsy,0.4325868494205753
EthanolConcentration,1.9707683257768949
EyesOpenShut,1.1269007394531552
diff --git a/results/multiverse/TimesURL/TimesURL_sensitivity.csv b/results/multiverse/TimesURL/TimesURL_sensitivity.csv
index da22960..05bb815 100644
--- a/results/multiverse/TimesURL/TimesURL_sensitivity.csv
+++ b/results/multiverse/TimesURL/TimesURL_sensitivity.csv
@@ -22,6 +22,7 @@ CrowdSourced,0.9216101694915254
DuckDuckGeese,0.5
ERing,0.8851851851851852
EigenWorms,0.8549618320610687
+EmoPain,0.8366197183098592
Epilepsy,0.9420289855072463
EthanolConcentration,0.23954372623574144
EyesOpenShut,1.0
diff --git a/results/multiverse/TimesURL/TimesURL_specificity.csv b/results/multiverse/TimesURL/TimesURL_specificity.csv
index 6ae92ac..2487839 100644
--- a/results/multiverse/TimesURL/TimesURL_specificity.csv
+++ b/results/multiverse/TimesURL/TimesURL_specificity.csv
@@ -22,6 +22,7 @@ CrowdSourced,0.44671841919548344
DuckDuckGeese,0.5
ERing,0.8851851851851852
EigenWorms,0.8549618320610687
+EmoPain,0.8366197183098592
Epilepsy,0.9420289855072463
EthanolConcentration,0.23954372623574144
EyesOpenShut,0.0
diff --git a/results/multiverse/XCM/XCM_accuracy.csv b/results/multiverse/XCM/XCM_accuracy.csv
index fcddf01..12f5b88 100644
--- a/results/multiverse/XCM/XCM_accuracy.csv
+++ b/results/multiverse/XCM/XCM_accuracy.csv
@@ -22,6 +22,7 @@ CrowdSourced,0.7518531591951995
DuckDuckGeese,0.54
ERing,0.3037037037037037
EigenWorms,0.5038167938931297
+EmoPain,0.6957746478873239
Epilepsy,0.9130434782608695
EthanolConcentration,0.2889733840304182
EyesOpenShut,0.5
diff --git a/results/multiverse/XCM/XCM_auroc.csv b/results/multiverse/XCM/XCM_auroc.csv
index e1ed21e..604df0a 100644
--- a/results/multiverse/XCM/XCM_auroc.csv
+++ b/results/multiverse/XCM/XCM_auroc.csv
@@ -22,6 +22,7 @@ CrowdSourced,0.7769353372486634
DuckDuckGeese,0.8835
ERing,0.9387489711934157
EigenWorms,0.8730167577171467
+EmoPain,0.8743557734499935
Epilepsy,0.9757065171400083
EthanolConcentration,0.5558911771202598
EyesOpenShut,0.2380952380952381
diff --git a/results/multiverse/XCM/XCM_balacc.csv b/results/multiverse/XCM/XCM_balacc.csv
index 9211a6b..6569b6e 100644
--- a/results/multiverse/XCM/XCM_balacc.csv
+++ b/results/multiverse/XCM/XCM_balacc.csv
@@ -22,6 +22,7 @@ CrowdSourced,0.7519220303099171
DuckDuckGeese,0.54
ERing,0.30370370370370375
EigenWorms,0.36
+EmoPain,0.5431706247904902
Epilepsy,0.9141494435612083
EthanolConcentration,0.28805361305361304
EyesOpenShut,0.5
diff --git a/results/multiverse/XCM/XCM_f1.csv b/results/multiverse/XCM/XCM_f1.csv
index 2576c12..6a5c16f 100644
--- a/results/multiverse/XCM/XCM_f1.csv
+++ b/results/multiverse/XCM/XCM_f1.csv
@@ -22,6 +22,7 @@ CrowdSourced,0.7923190546528803
DuckDuckGeese,0.5323809523809524
ERing,0.1517735755778025
EigenWorms,0.40159309658148024
+EmoPain,0.7492379034906649
Epilepsy,0.9112318840579711
EthanolConcentration,0.24591210249853798
EyesOpenShut,0.6666666666666666
diff --git a/results/multiverse/XCM/XCM_logloss.csv b/results/multiverse/XCM/XCM_logloss.csv
index e9de0b4..c1ab07c 100644
--- a/results/multiverse/XCM/XCM_logloss.csv
+++ b/results/multiverse/XCM/XCM_logloss.csv
@@ -22,6 +22,7 @@ CrowdSourced,5.681748011476673
DuckDuckGeese,1.4476585961906254
ERing,1.5511330924068825
EigenWorms,2.7894721126602673
+EmoPain,1.4895746842659396
Epilepsy,0.3715004381698749
EthanolConcentration,1.529273939296933
EyesOpenShut,4.248528533555482
diff --git a/results/multiverse/XCM/XCM_sensitivity.csv b/results/multiverse/XCM/XCM_sensitivity.csv
index e9242f0..b18a5d3 100644
--- a/results/multiverse/XCM/XCM_sensitivity.csv
+++ b/results/multiverse/XCM/XCM_sensitivity.csv
@@ -22,6 +22,7 @@ CrowdSourced,0.9470338983050848
DuckDuckGeese,0.54
ERing,0.3037037037037037
EigenWorms,0.5038167938931297
+EmoPain,0.6957746478873239
Epilepsy,0.9130434782608695
EthanolConcentration,0.2889733840304182
EyesOpenShut,1.0
diff --git a/results/multiverse/XCM/XCM_specificity.csv b/results/multiverse/XCM/XCM_specificity.csv
index bc472f0..dcf3a82 100644
--- a/results/multiverse/XCM/XCM_specificity.csv
+++ b/results/multiverse/XCM/XCM_specificity.csv
@@ -22,6 +22,7 @@ CrowdSourced,0.5568101623147494
DuckDuckGeese,0.54
ERing,0.3037037037037037
EigenWorms,0.5038167938931297
+EmoPain,0.6957746478873239
Epilepsy,0.9130434782608695
EthanolConcentration,0.2889733840304182
EyesOpenShut,0.0
diff --git a/results/multiverse/datasets.html b/results/multiverse/datasets.html
index 9ede74a..ea26c9c 100644
--- a/results/multiverse/datasets.html
+++ b/results/multiverse/datasets.html
@@ -60,7 +60,7 @@
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summary { cursor: pointer; color: var(--accent); }
code { font-family: ui-monospace, SFMono-Regular, Menlo, monospace; font-size: .9em; }
-tr.nosignal td { background: rgba(214, 158, 46, .16); }tr.saturated td { background: rgba(56, 161, 105, .14); }
Multiverse-core datasets: accuracy
64 datasets · accuracy · best of up to 24 estimators against the Dummy baseline · built 2026-09-11
One row per dataset. Dummy is the no-skill floor. Median, best and spread are over the other estimators, so the baseline cannot flatter them. Gain over dummy is best minus dummy, how much skill was found at all; spread is best minus worst, how much the choice of estimator mattered. The two answer different questions, and a single range would conflate them.
3 of 64 datasets gained 0.05 or less over the baseline (shaded amber) and 14 have a best of 0.99 or more (shaded green). Both separate estimators poorly, for opposite reasons. Best is a maximum over many estimators, so it is optimistic by construction: read it as what the archive can currently do on a problem, not as what any one method delivers.