model:baseline_only_ancova —[benchmarked_on]→ task:procova_validity model:baseline_only_ancova_ad —[benchmarked_on]→ task:procova_validity_ad model:biomedbert_probe —[benchmarked_on]→ task:jobpost_fraud model:biomedbert_probe —[benchmarked_on]→ task:ledgar model:biomedbert_probe —[benchmarked_on]→ task:medabstracts model:biomedclip_ft —[benchmarked_on]→ task:breastmnist_224 model:biomedclip_ft —[benchmarked_on]→ task:retinamnist_224 model:biomedclip_probe —[benchmarked_on]→ task:bloodmnist model:biomedclip_probe —[benchmarked_on]→ task:bloodmnist_224 model:biomedclip_probe —[benchmarked_on]→ task:breastmnist model:biomedclip_probe —[benchmarked_on]→ task:breastmnist_224 model:biomedclip_probe —[benchmarked_on]→ task:dermamnist model:biomedclip_probe —[benchmarked_on]→ task:dermamnist_224 model:biomedclip_probe —[benchmarked_on]→ task:organcmnist model:biomedclip_probe —[benchmarked_on]→ task:organcmnist_224 model:biomedclip_probe —[benchmarked_on]→ task:pneumoniamnist model:biomedclip_probe —[benchmarked_on]→ task:pneumoniamnist_224 model:biomedclip_probe —[benchmarked_on]→ task:retinamnist model:biomedclip_probe —[benchmarked_on]→ task:retinamnist_224 model:biomedclip_zeroshot —[benchmarked_on]→ task:bloodmnist model:biomedclip_zeroshot —[benchmarked_on]→ task:bloodmnist_224 model:biomedclip_zeroshot —[benchmarked_on]→ task:breastmnist model:biomedclip_zeroshot —[benchmarked_on]→ task:breastmnist_224 model:biomedclip_zeroshot —[benchmarked_on]→ task:dermamnist model:biomedclip_zeroshot —[benchmarked_on]→ task:dermamnist_224 model:biomedclip_zeroshot —[benchmarked_on]→ task:organcmnist model:biomedclip_zeroshot —[benchmarked_on]→ task:organcmnist_224 model:biomedclip_zeroshot —[benchmarked_on]→ task:pneumoniamnist model:biomedclip_zeroshot —[benchmarked_on]→ task:pneumoniamnist_224 model:biomedclip_zeroshot —[benchmarked_on]→ task:retinamnist model:biomedclip_zeroshot —[benchmarked_on]→ task:retinamnist_224 model:cnn_scratch —[benchmarked_on]→ task:bloodmnist model:cnn_scratch —[benchmarked_on]→ task:breastmnist model:cnn_scratch —[benchmarked_on]→ task:dermamnist model:cnn_scratch —[benchmarked_on]→ task:octmnist model:cnn_scratch —[benchmarked_on]→ task:organamnist model:cnn_scratch —[benchmarked_on]→ task:organcmnist model:cnn_scratch —[benchmarked_on]→ task:organsmnist model:cnn_scratch —[benchmarked_on]→ task:pathmnist model:cnn_scratch —[benchmarked_on]→ task:pneumoniamnist model:cnn_scratch —[benchmarked_on]→ task:retinamnist model:cnn_scratch —[benchmarked_on]→ task:tissuemnist model:covariate_shopping_20 —[benchmarked_on]→ task:procova_validity model:covariate_shopping_20_ad —[benchmarked_on]→ task:procova_validity_ad model:dinov2_probe —[benchmarked_on]→ task:bloodmnist model:dinov2_probe —[benchmarked_on]→ task:bloodmnist_224 model:dinov2_probe —[benchmarked_on]→ task:breastmnist model:dinov2_probe —[benchmarked_on]→ task:breastmnist_224 model:dinov2_probe —[benchmarked_on]→ task:dermamnist model:dinov2_probe —[benchmarked_on]→ task:dermamnist_224 model:dinov2_probe —[benchmarked_on]→ task:organcmnist model:dinov2_probe —[benchmarked_on]→ task:organcmnist_224 model:dinov2_probe —[benchmarked_on]→ task:pneumoniamnist model:dinov2_probe —[benchmarked_on]→ task:pneumoniamnist_224 model:dinov2_probe —[benchmarked_on]→ task:retinamnist model:dinov2_probe —[benchmarked_on]→ task:retinamnist_224 model:gte_probe —[benchmarked_on]→ task:jobpost_fraud model:gte_probe —[benchmarked_on]→ task:ledgar model:gte_probe —[benchmarked_on]→ task:medabstracts model:hog_logreg —[benchmarked_on]→ task:bloodmnist model:hog_logreg —[benchmarked_on]→ task:breastmnist model:hog_logreg —[benchmarked_on]→ task:dermamnist model:hog_logreg —[benchmarked_on]→ task:octmnist model:hog_logreg —[benchmarked_on]→ task:organamnist model:hog_logreg —[benchmarked_on]→ task:organcmnist model:hog_logreg —[benchmarked_on]→ task:organsmnist model:hog_logreg —[benchmarked_on]→ task:pathmnist model:hog_logreg —[benchmarked_on]→ task:pneumoniamnist model:hog_logreg —[benchmarked_on]→ task:retinamnist model:hog_logreg —[benchmarked_on]→ task:tissuemnist model:mlp_pixels —[benchmarked_on]→ task:bloodmnist model:mlp_pixels —[benchmarked_on]→ task:breastmnist model:mlp_pixels —[benchmarked_on]→ task:dermamnist model:mlp_pixels —[benchmarked_on]→ task:octmnist model:mlp_pixels —[benchmarked_on]→ task:organamnist model:mlp_pixels —[benchmarked_on]→ task:organcmnist model:mlp_pixels —[benchmarked_on]→ task:organsmnist model:mlp_pixels —[benchmarked_on]→ task:pathmnist model:mlp_pixels —[benchmarked_on]→ task:pneumoniamnist model:mlp_pixels —[benchmarked_on]→ task:retinamnist model:mlp_pixels —[benchmarked_on]→ task:tissuemnist model:pca_logreg —[benchmarked_on]→ task:bloodmnist model:pca_logreg —[benchmarked_on]→ task:breastmnist model:pca_logreg —[benchmarked_on]→ task:dermamnist model:pca_logreg —[benchmarked_on]→ task:octmnist model:pca_logreg —[benchmarked_on]→ task:organamnist model:pca_logreg —[benchmarked_on]→ task:organcmnist model:pca_logreg —[benchmarked_on]→ task:organsmnist model:pca_logreg —[benchmarked_on]→ task:pathmnist model:pca_logreg —[benchmarked_on]→ task:pneumoniamnist model:pca_logreg —[benchmarked_on]→ task:retinamnist model:pca_logreg —[benchmarked_on]→ task:tissuemnist model:pubmedbert_st_probe —[benchmarked_on]→ task:jobpost_fraud model:pubmedbert_st_probe —[benchmarked_on]→ task:ledgar model:pubmedbert_st_probe —[benchmarked_on]→ task:medabstracts model:resnet18_ft —[benchmarked_on]→ task:bloodmnist model:resnet18_ft —[benchmarked_on]→ task:breastmnist model:resnet18_ft —[benchmarked_on]→ task:dermamnist model:resnet18_ft —[benchmarked_on]→ task:octmnist model:resnet18_ft —[benchmarked_on]→ task:organamnist model:resnet18_ft —[benchmarked_on]→ task:organcmnist model:resnet18_ft —[benchmarked_on]→ task:organsmnist model:resnet18_ft —[benchmarked_on]→ task:pathmnist model:resnet18_ft —[benchmarked_on]→ task:pneumoniamnist model:resnet18_ft —[benchmarked_on]→ task:retinamnist model:resnet18_ft —[benchmarked_on]→ task:tissuemnist model:resnet18_in_probe —[benchmarked_on]→ task:bloodmnist model:resnet18_in_probe —[benchmarked_on]→ task:breastmnist model:resnet18_in_probe —[benchmarked_on]→ task:dermamnist model:resnet18_in_probe —[benchmarked_on]→ task:octmnist model:resnet18_in_probe —[benchmarked_on]→ task:organamnist model:resnet18_in_probe —[benchmarked_on]→ task:organcmnist model:resnet18_in_probe —[benchmarked_on]→ task:organsmnist model:resnet18_in_probe —[benchmarked_on]→ task:pathmnist model:resnet18_in_probe —[benchmarked_on]→ task:pneumoniamnist model:resnet18_in_probe —[benchmarked_on]→ task:retinamnist model:resnet18_in_probe —[benchmarked_on]→ task:tissuemnist model:rf_pixels —[benchmarked_on]→ task:bloodmnist model:rf_pixels —[benchmarked_on]→ task:breastmnist model:rf_pixels —[benchmarked_on]→ task:dermamnist model:rf_pixels —[benchmarked_on]→ task:octmnist model:rf_pixels —[benchmarked_on]→ task:organamnist model:rf_pixels —[benchmarked_on]→ task:organcmnist model:rf_pixels —[benchmarked_on]→ task:organsmnist model:rf_pixels —[benchmarked_on]→ task:pathmnist model:rf_pixels —[benchmarked_on]→ task:pneumoniamnist model:rf_pixels —[benchmarked_on]→ task:retinamnist model:rf_pixels —[benchmarked_on]→ task:tissuemnist model:tab_gbm —[benchmarked_on]→ task:adult_income model:tab_gbm —[benchmarked_on]→ task:anuran_mfcc model:tab_gbm —[benchmarked_on]→ task:breast_wdbc model:tab_gbm —[benchmarked_on]→ task:coil2000_caravan model:tab_gbm —[benchmarked_on]→ task:diabetes_pima model:tab_gbm —[benchmarked_on]→ task:dry_bean model:tab_gbm —[benchmarked_on]→ task:german_credit model:tab_gbm —[benchmarked_on]→ task:heart_cleveland model:tab_gbm —[benchmarked_on]→ task:landsat_statlog model:tab_gbm —[benchmarked_on]→ task:occupancy_detection model:tab_gbm —[benchmarked_on]→ task:occupancy_detection_2 model:tab_gbm —[benchmarked_on]→ task:secom model:tab_gbm —[benchmarked_on]→ task:steel_plate_faults model:tab_gbm —[benchmarked_on]→ task:wine_quality_red model:tab_gbm —[benchmarked_on]→ task:wine_quality_white model:tab_logreg —[benchmarked_on]→ task:adult_income model:tab_logreg —[benchmarked_on]→ task:anuran_mfcc model:tab_logreg —[benchmarked_on]→ task:breast_wdbc model:tab_logreg —[benchmarked_on]→ task:coil2000_caravan model:tab_logreg —[benchmarked_on]→ task:diabetes_pima model:tab_logreg —[benchmarked_on]→ task:dry_bean model:tab_logreg —[benchmarked_on]→ task:german_credit model:tab_logreg —[benchmarked_on]→ task:heart_cleveland model:tab_logreg —[benchmarked_on]→ task:landsat_statlog model:tab_logreg —[benchmarked_on]→ task:occupancy_detection model:tab_logreg —[benchmarked_on]→ task:occupancy_detection_2 model:tab_logreg —[benchmarked_on]→ task:secom model:tab_logreg —[benchmarked_on]→ task:steel_plate_faults model:tab_logreg —[benchmarked_on]→ task:wine_quality_red model:tab_logreg —[benchmarked_on]→ task:wine_quality_white model:tab_mlp —[benchmarked_on]→ task:adult_income model:tab_mlp —[benchmarked_on]→ task:anuran_mfcc model:tab_mlp —[benchmarked_on]→ task:breast_wdbc model:tab_mlp —[benchmarked_on]→ task:coil2000_caravan model:tab_mlp —[benchmarked_on]→ task:diabetes_pima model:tab_mlp —[benchmarked_on]→ task:dry_bean model:tab_mlp —[benchmarked_on]→ task:german_credit model:tab_mlp —[benchmarked_on]→ task:heart_cleveland model:tab_mlp —[benchmarked_on]→ task:landsat_statlog model:tab_mlp —[benchmarked_on]→ task:occupancy_detection model:tab_mlp —[benchmarked_on]→ task:occupancy_detection_2 model:tab_mlp —[benchmarked_on]→ task:secom model:tab_mlp —[benchmarked_on]→ task:steel_plate_faults model:tab_mlp —[benchmarked_on]→ task:wine_quality_red model:tab_mlp —[benchmarked_on]→ task:wine_quality_white model:tab_rf —[benchmarked_on]→ task:adult_income model:tab_rf —[benchmarked_on]→ task:anuran_mfcc model:tab_rf —[benchmarked_on]→ task:breast_wdbc model:tab_rf —[benchmarked_on]→ task:coil2000_caravan model:tab_rf —[benchmarked_on]→ task:diabetes_pima model:tab_rf —[benchmarked_on]→ task:dry_bean model:tab_rf —[benchmarked_on]→ task:german_credit model:tab_rf —[benchmarked_on]→ task:heart_cleveland model:tab_rf —[benchmarked_on]→ task:landsat_statlog model:tab_rf —[benchmarked_on]→ task:occupancy_detection model:tab_rf —[benchmarked_on]→ task:occupancy_detection_2 model:tab_rf —[benchmarked_on]→ task:secom model:tab_rf —[benchmarked_on]→ task:steel_plate_faults model:tab_rf —[benchmarked_on]→ task:wine_quality_red model:tab_rf —[benchmarked_on]→ task:wine_quality_white model:tfidf_logreg —[benchmarked_on]→ task:jobpost_fraud model:tfidf_logreg —[benchmarked_on]→ task:ledgar model:tfidf_logreg —[benchmarked_on]→ task:medabstracts model:tfidf_mlp —[benchmarked_on]→ task:jobpost_fraud model:tfidf_mlp —[benchmarked_on]→ task:ledgar model:tfidf_mlp —[benchmarked_on]→ task:medabstracts model:tfidf_nb —[benchmarked_on]→ task:jobpost_fraud model:tfidf_nb —[benchmarked_on]→ task:ledgar model:tfidf_nb —[benchmarked_on]→ task:medabstracts model:tfidf_svm —[benchmarked_on]→ task:jobpost_fraud model:tfidf_svm —[benchmarked_on]→ task:ledgar model:tfidf_svm —[benchmarked_on]→ task:medabstracts model:twin_broken_anticorrelated —[benchmarked_on]→ task:procova_validity model:twin_broken_anticorrelated_ad —[benchmarked_on]→ task:procova_validity_ad model:twin_broken_nonmonotone —[benchmarked_on]→ task:procova_validity model:twin_broken_nonmonotone_ad —[benchmarked_on]→ task:procova_validity_ad model:twin_constant —[benchmarked_on]→ task:procova_validity model:twin_constant_ad —[benchmarked_on]→ task:procova_validity_ad model:twin_r2_0.40 —[benchmarked_on]→ task:procova_validity model:twin_r2_0.40_ad —[benchmarked_on]→ task:procova_validity_ad model:twin_r2_0.60 —[benchmarked_on]→ task:procova_validity model:twin_r2_0.60_ad —[benchmarked_on]→ task:procova_validity_ad model:twin_r2_0.80 —[benchmarked_on]→ task:procova_validity model:twin_r2_0.80_ad —[benchmarked_on]→ task:procova_validity_ad model:twin_useless_r2_0.0 —[benchmarked_on]→ task:procova_validity model:twin_useless_r2_0.0_ad —[benchmarked_on]→ task:procova_validity_ad model:twin_wrong_population_age —[benchmarked_on]→ task:procova_validity model:twin_wrong_population_age_ad —[benchmarked_on]→ task:procova_validity_ad model:baseline_only_ancova —[compared_with]→ model:covariate_shopping_20 model:baseline_only_ancova —[compared_with]→ model:twin_broken_anticorrelated model:baseline_only_ancova —[compared_with]→ model:twin_broken_nonmonotone model:baseline_only_ancova —[compared_with]→ model:twin_constant model:baseline_only_ancova —[compared_with]→ model:twin_r2_0.40 model:baseline_only_ancova —[compared_with]→ model:twin_r2_0.60 model:baseline_only_ancova —[compared_with]→ model:twin_r2_0.80 model:baseline_only_ancova —[compared_with]→ model:twin_useless_r2_0.0 model:baseline_only_ancova —[compared_with]→ model:twin_wrong_population_age model:baseline_only_ancova_ad —[compared_with]→ model:covariate_shopping_20_ad model:baseline_only_ancova_ad —[compared_with]→ model:twin_broken_anticorrelated_ad model:baseline_only_ancova_ad —[compared_with]→ model:twin_broken_nonmonotone_ad model:baseline_only_ancova_ad —[compared_with]→ model:twin_constant_ad model:baseline_only_ancova_ad —[compared_with]→ model:twin_r2_0.40_ad model:baseline_only_ancova_ad —[compared_with]→ model:twin_r2_0.60_ad model:baseline_only_ancova_ad —[compared_with]→ model:twin_r2_0.80_ad model:baseline_only_ancova_ad —[compared_with]→ model:twin_useless_r2_0.0_ad model:baseline_only_ancova_ad —[compared_with]→ model:twin_wrong_population_age_ad model:biomedbert_probe —[compared_with]→ model:gte_probe model:biomedbert_probe —[compared_with]→ model:pubmedbert_st_probe model:biomedbert_probe —[compared_with]→ model:tfidf_logreg model:biomedbert_probe —[compared_with]→ model:tfidf_mlp model:biomedbert_probe —[compared_with]→ model:tfidf_nb model:biomedbert_probe —[compared_with]→ model:tfidf_svm model:biomedclip_ft —[compared_with]→ model:biomedclip_probe model:biomedclip_ft —[compared_with]→ model:biomedclip_zeroshot model:biomedclip_ft —[compared_with]→ model:dinov2_probe model:biomedclip_probe —[compared_with]→ model:biomedclip_zeroshot model:biomedclip_probe —[compared_with]→ model:cnn_scratch model:biomedclip_probe —[compared_with]→ model:dinov2_probe model:biomedclip_probe —[compared_with]→ model:hog_logreg model:biomedclip_probe —[compared_with]→ model:mlp_pixels model:biomedclip_probe —[compared_with]→ model:pca_logreg model:biomedclip_probe —[compared_with]→ model:resnet18_ft model:biomedclip_probe —[compared_with]→ model:resnet18_in_probe model:biomedclip_probe —[compared_with]→ model:rf_pixels model:biomedclip_zeroshot —[compared_with]→ model:cnn_scratch model:biomedclip_zeroshot —[compared_with]→ model:dinov2_probe model:biomedclip_zeroshot —[compared_with]→ model:hog_logreg model:biomedclip_zeroshot —[compared_with]→ model:mlp_pixels model:biomedclip_zeroshot —[compared_with]→ model:pca_logreg model:biomedclip_zeroshot —[compared_with]→ model:resnet18_ft model:biomedclip_zeroshot —[compared_with]→ model:resnet18_in_probe model:biomedclip_zeroshot —[compared_with]→ model:rf_pixels model:cnn_scratch —[compared_with]→ model:dinov2_probe model:cnn_scratch —[compared_with]→ model:hog_logreg model:cnn_scratch —[compared_with]→ model:mlp_pixels model:cnn_scratch —[compared_with]→ model:pca_logreg model:cnn_scratch —[compared_with]→ model:resnet18_ft model:cnn_scratch —[compared_with]→ model:resnet18_in_probe model:cnn_scratch —[compared_with]→ model:rf_pixels model:covariate_shopping_20 —[compared_with]→ model:twin_broken_anticorrelated model:covariate_shopping_20 —[compared_with]→ model:twin_broken_nonmonotone model:covariate_shopping_20 —[compared_with]→ model:twin_constant model:covariate_shopping_20 —[compared_with]→ model:twin_r2_0.40 model:covariate_shopping_20 —[compared_with]→ model:twin_r2_0.60 model:covariate_shopping_20 —[compared_with]→ model:twin_r2_0.80 model:covariate_shopping_20 —[compared_with]→ model:twin_useless_r2_0.0 model:covariate_shopping_20 —[compared_with]→ model:twin_wrong_population_age model:covariate_shopping_20_ad —[compared_with]→ model:twin_broken_anticorrelated_ad model:covariate_shopping_20_ad —[compared_with]→ model:twin_broken_nonmonotone_ad model:covariate_shopping_20_ad —[compared_with]→ model:twin_constant_ad model:covariate_shopping_20_ad —[compared_with]→ model:twin_r2_0.40_ad model:covariate_shopping_20_ad —[compared_with]→ model:twin_r2_0.60_ad model:covariate_shopping_20_ad —[compared_with]→ model:twin_r2_0.80_ad model:covariate_shopping_20_ad —[compared_with]→ model:twin_useless_r2_0.0_ad model:covariate_shopping_20_ad —[compared_with]→ model:twin_wrong_population_age_ad model:dinov2_probe —[compared_with]→ model:hog_logreg model:dinov2_probe —[compared_with]→ model:mlp_pixels model:dinov2_probe —[compared_with]→ model:pca_logreg model:dinov2_probe —[compared_with]→ model:resnet18_ft model:dinov2_probe —[compared_with]→ model:resnet18_in_probe model:dinov2_probe —[compared_with]→ model:rf_pixels model:gte_probe —[compared_with]→ model:pubmedbert_st_probe model:gte_probe —[compared_with]→ model:tfidf_logreg model:gte_probe —[compared_with]→ model:tfidf_mlp model:gte_probe —[compared_with]→ model:tfidf_nb model:gte_probe —[compared_with]→ model:tfidf_svm model:hog_logreg —[compared_with]→ model:mlp_pixels model:hog_logreg —[compared_with]→ model:pca_logreg model:hog_logreg —[compared_with]→ model:resnet18_ft model:hog_logreg —[compared_with]→ model:resnet18_in_probe model:hog_logreg —[compared_with]→ model:rf_pixels model:mlp_pixels —[compared_with]→ model:pca_logreg model:mlp_pixels —[compared_with]→ model:resnet18_ft model:mlp_pixels —[compared_with]→ model:resnet18_in_probe model:mlp_pixels —[compared_with]→ model:rf_pixels model:pca_logreg —[compared_with]→ model:resnet18_ft model:pca_logreg —[compared_with]→ model:resnet18_in_probe model:pca_logreg —[compared_with]→ model:rf_pixels model:pubmedbert_st_probe —[compared_with]→ model:tfidf_logreg model:pubmedbert_st_probe —[compared_with]→ model:tfidf_mlp model:pubmedbert_st_probe —[compared_with]→ model:tfidf_nb model:pubmedbert_st_probe —[compared_with]→ model:tfidf_svm model:resnet18_ft —[compared_with]→ model:resnet18_in_probe model:resnet18_ft —[compared_with]→ model:rf_pixels model:resnet18_in_probe —[compared_with]→ model:rf_pixels model:tab_gbm —[compared_with]→ model:tab_logreg model:tab_gbm —[compared_with]→ model:tab_mlp model:tab_gbm —[compared_with]→ model:tab_rf model:tab_logreg —[compared_with]→ model:tab_mlp model:tab_logreg —[compared_with]→ model:tab_rf model:tab_mlp —[compared_with]→ model:tab_rf model:tfidf_logreg —[compared_with]→ model:tfidf_mlp model:tfidf_logreg —[compared_with]→ model:tfidf_nb model:tfidf_logreg —[compared_with]→ model:tfidf_svm model:tfidf_mlp —[compared_with]→ model:tfidf_nb model:tfidf_mlp —[compared_with]→ model:tfidf_svm model:tfidf_nb —[compared_with]→ model:tfidf_svm model:twin_broken_anticorrelated —[compared_with]→ model:twin_broken_nonmonotone model:twin_broken_anticorrelated —[compared_with]→ model:twin_constant model:twin_broken_anticorrelated —[compared_with]→ model:twin_r2_0.40 model:twin_broken_anticorrelated —[compared_with]→ model:twin_r2_0.60 model:twin_broken_anticorrelated —[compared_with]→ model:twin_r2_0.80 model:twin_broken_anticorrelated —[compared_with]→ model:twin_useless_r2_0.0 model:twin_broken_anticorrelated —[compared_with]→ model:twin_wrong_population_age model:twin_broken_anticorrelated_ad —[compared_with]→ model:twin_broken_nonmonotone_ad model:twin_broken_anticorrelated_ad —[compared_with]→ model:twin_constant_ad model:twin_broken_anticorrelated_ad —[compared_with]→ model:twin_r2_0.40_ad model:twin_broken_anticorrelated_ad —[compared_with]→ model:twin_r2_0.60_ad model:twin_broken_anticorrelated_ad —[compared_with]→ model:twin_r2_0.80_ad model:twin_broken_anticorrelated_ad —[compared_with]→ model:twin_useless_r2_0.0_ad model:twin_broken_anticorrelated_ad —[compared_with]→ model:twin_wrong_population_age_ad model:twin_broken_nonmonotone —[compared_with]→ model:twin_constant model:twin_broken_nonmonotone —[compared_with]→ model:twin_r2_0.40 model:twin_broken_nonmonotone —[compared_with]→ model:twin_r2_0.60 model:twin_broken_nonmonotone —[compared_with]→ model:twin_r2_0.80 model:twin_broken_nonmonotone —[compared_with]→ model:twin_useless_r2_0.0 model:twin_broken_nonmonotone —[compared_with]→ model:twin_wrong_population_age model:twin_broken_nonmonotone_ad —[compared_with]→ model:twin_constant_ad model:twin_broken_nonmonotone_ad —[compared_with]→ model:twin_r2_0.40_ad model:twin_broken_nonmonotone_ad —[compared_with]→ model:twin_r2_0.60_ad model:twin_broken_nonmonotone_ad —[compared_with]→ model:twin_r2_0.80_ad model:twin_broken_nonmonotone_ad —[compared_with]→ model:twin_useless_r2_0.0_ad model:twin_broken_nonmonotone_ad —[compared_with]→ model:twin_wrong_population_age_ad model:twin_constant —[compared_with]→ model:twin_r2_0.40 model:twin_constant —[compared_with]→ model:twin_r2_0.60 model:twin_constant —[compared_with]→ model:twin_r2_0.80 model:twin_constant —[compared_with]→ model:twin_useless_r2_0.0 model:twin_constant —[compared_with]→ model:twin_wrong_population_age model:twin_constant_ad —[compared_with]→ model:twin_r2_0.40_ad model:twin_constant_ad —[compared_with]→ model:twin_r2_0.60_ad model:twin_constant_ad —[compared_with]→ model:twin_r2_0.80_ad model:twin_constant_ad —[compared_with]→ model:twin_useless_r2_0.0_ad model:twin_constant_ad —[compared_with]→ model:twin_wrong_population_age_ad model:twin_r2_0.40 —[compared_with]→ model:twin_r2_0.60 model:twin_r2_0.40 —[compared_with]→ model:twin_r2_0.80 model:twin_r2_0.40 —[compared_with]→ model:twin_useless_r2_0.0 model:twin_r2_0.40 —[compared_with]→ model:twin_wrong_population_age model:twin_r2_0.40_ad —[compared_with]→ model:twin_r2_0.60_ad model:twin_r2_0.40_ad —[compared_with]→ model:twin_r2_0.80_ad model:twin_r2_0.40_ad —[compared_with]→ model:twin_useless_r2_0.0_ad model:twin_r2_0.40_ad —[compared_with]→ model:twin_wrong_population_age_ad model:twin_r2_0.60 —[compared_with]→ model:twin_r2_0.80 model:twin_r2_0.60 —[compared_with]→ model:twin_useless_r2_0.0 model:twin_r2_0.60 —[compared_with]→ model:twin_wrong_population_age model:twin_r2_0.60_ad —[compared_with]→ model:twin_r2_0.80_ad model:twin_r2_0.60_ad —[compared_with]→ model:twin_useless_r2_0.0_ad model:twin_r2_0.60_ad —[compared_with]→ model:twin_wrong_population_age_ad model:twin_r2_0.80 —[compared_with]→ model:twin_useless_r2_0.0 model:twin_r2_0.80 —[compared_with]→ model:twin_wrong_population_age model:twin_r2_0.80_ad —[compared_with]→ model:twin_useless_r2_0.0_ad model:twin_r2_0.80_ad —[compared_with]→ model:twin_wrong_population_age_ad model:twin_useless_r2_0.0 —[compared_with]→ model:twin_wrong_population_age model:twin_useless_r2_0.0_ad —[compared_with]→ model:twin_wrong_population_age_ad model:rf_pixels —[contaminated_by]→ generation:gen1 generation:anchor —[drawn_from]→ dataset:Barcelona blood cell dataset generation:gen1 —[drawn_from]→ dataset:Barcelona blood cell dataset generation:gen2 —[drawn_from]→ dataset:Barcelona blood cell dataset generation:public —[drawn_from]→ dataset:Barcelona blood cell dataset model:baseline_only_ancova —[evaluated_under]→ code_fingerprint:7ab31ab2d451 model:baseline_only_ancova —[evaluated_under]→ spec_version:MedEval-1 v0.1 + T-PV1 (prognostic validity extension, draft) model:baseline_only_ancova_ad —[evaluated_under]→ code_fingerprint:a158da61099e model:baseline_only_ancova_ad —[evaluated_under]→ spec_version:MedEval-1 v0.1 + T-PV1 (prognostic validity extension, draft) model:biomedbert_probe —[evaluated_under]→ code_fingerprint:b444c02112cc model:biomedbert_probe —[evaluated_under]→ code_fingerprint:b5b34c074f7f model:biomedbert_probe —[evaluated_under]→ spec_version:MedEval-1 v0.1 model:biomedclip_ft —[evaluated_under]→ code_fingerprint:dde8cf648b5e model:biomedclip_ft —[evaluated_under]→ spec_version:MedEval-1 v0.1 model:biomedclip_probe —[evaluated_under]→ code_fingerprint:b444c02112cc model:biomedclip_probe —[evaluated_under]→ spec_version:MedEval-1 v0.1 model:biomedclip_zeroshot —[evaluated_under]→ code_fingerprint:b444c02112cc model:biomedclip_zeroshot —[evaluated_under]→ spec_version:MedEval-1 v0.1 model:cnn_scratch —[evaluated_under]→ code_fingerprint:b444c02112cc model:cnn_scratch —[evaluated_under]→ spec_version:MedEval-1 v0.1 model:covariate_shopping_20 —[evaluated_under]→ code_fingerprint:7ab31ab2d451 model:covariate_shopping_20 —[evaluated_under]→ spec_version:MedEval-1 v0.1 + T-PV1 (prognostic validity extension, draft) model:covariate_shopping_20_ad —[evaluated_under]→ code_fingerprint:a158da61099e model:covariate_shopping_20_ad —[evaluated_under]→ spec_version:MedEval-1 v0.1 + T-PV1 (prognostic validity extension, draft) model:dinov2_probe —[evaluated_under]→ code_fingerprint:b444c02112cc model:dinov2_probe —[evaluated_under]→ spec_version:MedEval-1 v0.1 model:gte_probe —[evaluated_under]→ code_fingerprint:b5b34c074f7f model:gte_probe —[evaluated_under]→ spec_version:MedEval-1 v0.1 model:hog_logreg —[evaluated_under]→ code_fingerprint:b444c02112cc model:hog_logreg —[evaluated_under]→ spec_version:MedEval-1 v0.1 model:mlp_pixels —[evaluated_under]→ code_fingerprint:b444c02112cc model:mlp_pixels —[evaluated_under]→ spec_version:MedEval-1 v0.1 model:pca_logreg —[evaluated_under]→ code_fingerprint:b444c02112cc model:pca_logreg —[evaluated_under]→ spec_version:MedEval-1 v0.1 model:pubmedbert_st_probe —[evaluated_under]→ code_fingerprint:b5b34c074f7f model:pubmedbert_st_probe —[evaluated_under]→ spec_version:MedEval-1 v0.1 model:resnet18_ft —[evaluated_under]→ code_fingerprint:b444c02112cc model:resnet18_ft —[evaluated_under]→ spec_version:MedEval-1 v0.1 model:resnet18_in_probe —[evaluated_under]→ code_fingerprint:b444c02112cc model:resnet18_in_probe —[evaluated_under]→ spec_version:MedEval-1 v0.1 model:rf_pixels —[evaluated_under]→ code_fingerprint:b444c02112cc model:rf_pixels —[evaluated_under]→ spec_version:MedEval-1 v0.1 model:tab_gbm —[evaluated_under]→ code_fingerprint:b444c02112cc model:tab_gbm —[evaluated_under]→ code_fingerprint:de32bca72d56 model:tab_gbm —[evaluated_under]→ spec_version:MedEval-1 v0.1 model:tab_logreg —[evaluated_under]→ code_fingerprint:b444c02112cc model:tab_logreg —[evaluated_under]→ code_fingerprint:de32bca72d56 model:tab_logreg —[evaluated_under]→ spec_version:MedEval-1 v0.1 model:tab_mlp —[evaluated_under]→ code_fingerprint:b444c02112cc model:tab_mlp —[evaluated_under]→ code_fingerprint:de32bca72d56 model:tab_mlp —[evaluated_under]→ spec_version:MedEval-1 v0.1 model:tab_rf —[evaluated_under]→ code_fingerprint:b444c02112cc model:tab_rf —[evaluated_under]→ code_fingerprint:de32bca72d56 model:tab_rf —[evaluated_under]→ spec_version:MedEval-1 v0.1 model:tfidf_logreg —[evaluated_under]→ code_fingerprint:b444c02112cc model:tfidf_logreg —[evaluated_under]→ spec_version:MedEval-1 v0.1 model:tfidf_mlp —[evaluated_under]→ code_fingerprint:b444c02112cc model:tfidf_mlp —[evaluated_under]→ spec_version:MedEval-1 v0.1 model:tfidf_nb —[evaluated_under]→ code_fingerprint:b444c02112cc model:tfidf_nb —[evaluated_under]→ spec_version:MedEval-1 v0.1 model:tfidf_svm —[evaluated_under]→ code_fingerprint:b444c02112cc model:tfidf_svm —[evaluated_under]→ spec_version:MedEval-1 v0.1 model:twin_broken_anticorrelated —[evaluated_under]→ code_fingerprint:7ab31ab2d451 model:twin_broken_anticorrelated —[evaluated_under]→ spec_version:MedEval-1 v0.1 + T-PV1 (prognostic validity extension, draft) model:twin_broken_anticorrelated_ad —[evaluated_under]→ code_fingerprint:a158da61099e model:twin_broken_anticorrelated_ad —[evaluated_under]→ spec_version:MedEval-1 v0.1 + T-PV1 (prognostic validity extension, draft) model:twin_broken_nonmonotone —[evaluated_under]→ code_fingerprint:7ab31ab2d451 model:twin_broken_nonmonotone —[evaluated_under]→ spec_version:MedEval-1 v0.1 + T-PV1 (prognostic validity extension, draft) model:twin_broken_nonmonotone_ad —[evaluated_under]→ code_fingerprint:a158da61099e model:twin_broken_nonmonotone_ad —[evaluated_under]→ spec_version:MedEval-1 v0.1 + T-PV1 (prognostic validity extension, draft) model:twin_constant —[evaluated_under]→ code_fingerprint:7ab31ab2d451 model:twin_constant —[evaluated_under]→ spec_version:MedEval-1 v0.1 + T-PV1 (prognostic validity extension, draft) model:twin_constant_ad —[evaluated_under]→ code_fingerprint:a158da61099e model:twin_constant_ad —[evaluated_under]→ spec_version:MedEval-1 v0.1 + T-PV1 (prognostic validity extension, draft) model:twin_r2_0.40 —[evaluated_under]→ code_fingerprint:7ab31ab2d451 model:twin_r2_0.40 —[evaluated_under]→ spec_version:MedEval-1 v0.1 + T-PV1 (prognostic validity extension, draft) model:twin_r2_0.40_ad —[evaluated_under]→ code_fingerprint:a158da61099e model:twin_r2_0.40_ad —[evaluated_under]→ spec_version:MedEval-1 v0.1 + T-PV1 (prognostic validity extension, draft) model:twin_r2_0.60 —[evaluated_under]→ code_fingerprint:7ab31ab2d451 model:twin_r2_0.60 —[evaluated_under]→ spec_version:MedEval-1 v0.1 + T-PV1 (prognostic validity extension, draft) model:twin_r2_0.60_ad —[evaluated_under]→ code_fingerprint:a158da61099e model:twin_r2_0.60_ad —[evaluated_under]→ spec_version:MedEval-1 v0.1 + T-PV1 (prognostic validity extension, draft) model:twin_r2_0.80 —[evaluated_under]→ code_fingerprint:7ab31ab2d451 model:twin_r2_0.80 —[evaluated_under]→ spec_version:MedEval-1 v0.1 + T-PV1 (prognostic validity extension, draft) model:twin_r2_0.80_ad —[evaluated_under]→ code_fingerprint:a158da61099e model:twin_r2_0.80_ad —[evaluated_under]→ spec_version:MedEval-1 v0.1 + T-PV1 (prognostic validity extension, draft) model:twin_useless_r2_0.0 —[evaluated_under]→ code_fingerprint:7ab31ab2d451 model:twin_useless_r2_0.0 —[evaluated_under]→ spec_version:MedEval-1 v0.1 + T-PV1 (prognostic validity extension, draft) model:twin_useless_r2_0.0_ad —[evaluated_under]→ code_fingerprint:a158da61099e model:twin_useless_r2_0.0_ad —[evaluated_under]→ spec_version:MedEval-1 v0.1 + T-PV1 (prognostic validity extension, draft) model:twin_wrong_population_age —[evaluated_under]→ code_fingerprint:7ab31ab2d451 model:twin_wrong_population_age —[evaluated_under]→ spec_version:MedEval-1 v0.1 + T-PV1 (prognostic validity extension, draft) model:twin_wrong_population_age_ad —[evaluated_under]→ code_fingerprint:a158da61099e model:twin_wrong_population_age_ad —[evaluated_under]→ spec_version:MedEval-1 v0.1 + T-PV1 (prognostic validity extension, draft) model:covariate_shopping_20 —[failed_on]→ task:procova_validity model:covariate_shopping_20_ad —[failed_on]→ task:procova_validity_ad task:adult_income —[has_modality]→ modality:Tabular / socioeconomic task:anuran_mfcc —[has_modality]→ modality:Bioacoustic / MFCC task:bloodmnist —[has_modality]→ modality:Microscopy task:bloodmnist_224 —[has_modality]→ modality:Microscopy task:breast_wdbc —[has_modality]→ modality:Tabular / imaging-derived task:breastmnist —[has_modality]→ modality:Ultrasound task:breastmnist_224 —[has_modality]→ modality:Ultrasound task:coil2000_caravan —[has_modality]→ modality:Tabular / insurance task:dermamnist —[has_modality]→ modality:Dermatoscopy task:dermamnist_224 —[has_modality]→ modality:Dermatoscopy task:diabetes_pima —[has_modality]→ modality:Tabular / clinical task:dry_bean —[has_modality]→ modality:Tabular / imaging-derived task:german_credit —[has_modality]→ modality:Tabular / financial task:heart_cleveland —[has_modality]→ modality:Tabular / clinical task:jobpost_fraud —[has_modality]→ modality:Recruitment text task:landsat_statlog —[has_modality]→ modality:Tabular / multispectral task:ledgar —[has_modality]→ modality:Legal text task:medabstracts —[has_modality]→ modality:Clinical text task:occupancy_detection —[has_modality]→ modality:Tabular / environmental sensors task:occupancy_detection_2 —[has_modality]→ modality:Tabular / environmental sensors task:octmnist —[has_modality]→ modality:OCT task:organamnist —[has_modality]→ modality:CT task:organcmnist —[has_modality]→ modality:CT task:organcmnist_224 —[has_modality]→ modality:CT task:organsmnist —[has_modality]→ modality:CT task:pathmnist —[has_modality]→ modality:Histopathology task:pneumoniamnist —[has_modality]→ modality:Chest X-ray task:pneumoniamnist_224 —[has_modality]→ modality:Chest X-ray task:procova_validity —[has_modality]→ modality:Prognostic model / clinical trial task:procova_validity_ad —[has_modality]→ modality:Prognostic model / clinical trial task:retinamnist —[has_modality]→ modality:Fundus task:retinamnist_224 —[has_modality]→ modality:Fundus task:secom —[has_modality]→ modality:Tabular / process sensors task:steel_plate_faults —[has_modality]→ modality:Tabular / imaging-derived task:tissuemnist —[has_modality]→ modality:Microscopy task:wine_quality_red —[has_modality]→ modality:Tabular / physicochemical task:wine_quality_white —[has_modality]→ modality:Tabular / physicochemical task:adult_income —[in_domain]→ domain:labour task:anuran_mfcc —[in_domain]→ domain:ecology task:bloodmnist —[in_domain]→ domain:medicine task:bloodmnist_224 —[in_domain]→ domain:medicine task:breast_wdbc —[in_domain]→ domain:medicine task:breastmnist —[in_domain]→ domain:medicine task:breastmnist_224 —[in_domain]→ domain:medicine task:coil2000_caravan —[in_domain]→ domain:financial task:dermamnist —[in_domain]→ domain:medicine task:dermamnist_224 —[in_domain]→ domain:medicine task:diabetes_pima —[in_domain]→ domain:medicine task:dry_bean —[in_domain]→ domain:agriculture task:german_credit —[in_domain]→ domain:financial task:heart_cleveland —[in_domain]→ domain:medicine task:jobpost_fraud —[in_domain]→ domain:labour task:landsat_statlog —[in_domain]→ domain:earth task:ledgar —[in_domain]→ domain:legal task:medabstracts —[in_domain]→ domain:medicine task:occupancy_detection —[in_domain]→ domain:energy task:occupancy_detection_2 —[in_domain]→ domain:energy task:octmnist —[in_domain]→ domain:medicine task:organamnist —[in_domain]→ domain:medicine task:organcmnist —[in_domain]→ domain:medicine task:organcmnist_224 —[in_domain]→ domain:medicine task:organsmnist —[in_domain]→ domain:medicine task:pathmnist —[in_domain]→ domain:medicine task:pneumoniamnist —[in_domain]→ domain:medicine task:pneumoniamnist_224 —[in_domain]→ domain:medicine task:procova_validity —[in_domain]→ domain:medicine task:procova_validity_ad —[in_domain]→ domain:alzheimers/cdr-sb task:retinamnist —[in_domain]→ domain:medicine task:retinamnist_224 —[in_domain]→ domain:medicine task:secom —[in_domain]→ domain:industrial task:steel_plate_faults —[in_domain]→ domain:industrial task:tissuemnist —[in_domain]→ domain:medicine task:wine_quality_red —[in_domain]→ domain:agriculture task:wine_quality_white —[in_domain]→ domain:agriculture task:occupancy_detection —[measured_in_setting]→ acquisition_setting:test period 1 task:occupancy_detection_2 —[measured_in_setting]→ acquisition_setting:test period 2 task:organamnist —[measured_in_setting]→ acquisition_setting:axial task:organcmnist —[measured_in_setting]→ acquisition_setting:coronal task:organsmnist —[measured_in_setting]→ acquisition_setting:sagittal task:wine_quality_red —[measured_in_setting]→ acquisition_setting:red (vinho verde) task:wine_quality_white —[measured_in_setting]→ acquisition_setting:white (vinho verde) generation:gen1 —[retired_by]→ generation:gen2 model:hog_logreg —[scored_on]→ generation:gen1 model:hog_logreg —[scored_on]→ generation:gen2 model:hog_logreg —[scored_on]→ generation:public model:mlp_pixels —[scored_on]→ generation:gen1 model:mlp_pixels —[scored_on]→ generation:gen2 model:mlp_pixels —[scored_on]→ generation:public model:pca_logreg —[scored_on]→ generation:gen1 model:pca_logreg —[scored_on]→ generation:gen2 model:pca_logreg —[scored_on]→ generation:public model:resnet18_in_probe —[scored_on]→ generation:gen1 model:resnet18_in_probe —[scored_on]→ generation:gen2 model:resnet18_in_probe —[scored_on]→ generation:public model:rf_pixels —[scored_on]→ generation:gen1 model:rf_pixels —[scored_on]→ generation:gen2 model:rf_pixels —[scored_on]→ generation:public task:bloodmnist —[shares_dataset]→ task:bloodmnist_224 task:breastmnist —[shares_dataset]→ task:breastmnist_224 task:dermamnist —[shares_dataset]→ task:dermamnist_224 task:occupancy_detection —[shares_dataset]→ task:occupancy_detection_2 task:organamnist —[shares_dataset]→ task:organcmnist task:organamnist —[shares_dataset]→ task:organcmnist_224 task:organamnist —[shares_dataset]→ task:organsmnist task:organcmnist —[shares_dataset]→ task:organcmnist_224 task:organcmnist —[shares_dataset]→ task:organsmnist task:organcmnist_224 —[shares_dataset]→ task:organsmnist task:pneumoniamnist —[shares_dataset]→ task:pneumoniamnist_224 task:retinamnist —[shares_dataset]→ task:retinamnist_224 task:wine_quality_red —[shares_dataset]→ task:wine_quality_white acquisition_setting:axial —[transfers_to]→ acquisition_setting:coronal acquisition_setting:axial —[transfers_to]→ acquisition_setting:sagittal acquisition_setting:coronal —[transfers_to]→ acquisition_setting:axial acquisition_setting:coronal —[transfers_to]→ acquisition_setting:sagittal acquisition_setting:red (vinho verde) —[transfers_to]→ acquisition_setting:white (vinho verde) acquisition_setting:sagittal —[transfers_to]→ acquisition_setting:axial acquisition_setting:sagittal —[transfers_to]→ acquisition_setting:coronal acquisition_setting:test period 1 —[transfers_to]→ acquisition_setting:test period 2 acquisition_setting:test period 2 —[transfers_to]→ acquisition_setting:test period 1 acquisition_setting:white (vinho verde) —[transfers_to]→ acquisition_setting:red (vinho verde) task:adult_income —[uses_dataset]→ dataset:UCI Adult / Census Income task:anuran_mfcc —[uses_dataset]→ dataset:UCI Anuran Calls (MFCCs) task:bloodmnist —[uses_dataset]→ dataset:Barcelona blood cell dataset task:bloodmnist_224 —[uses_dataset]→ dataset:Barcelona blood cell dataset task:breast_wdbc —[uses_dataset]→ dataset:scikit-learn bundled WDBC task:breastmnist —[uses_dataset]→ dataset:BUSI task:breastmnist_224 —[uses_dataset]→ dataset:BUSI task:coil2000_caravan —[uses_dataset]→ dataset:UCI CoIL Challenge 2000 (tic-mld) task:dermamnist —[uses_dataset]→ dataset:HAM10000 task:dermamnist_224 —[uses_dataset]→ dataset:HAM10000 task:diabetes_pima —[uses_dataset]→ dataset:UCI Pima Indians Diabetes task:dry_bean —[uses_dataset]→ dataset:UCI Dry Bean Dataset task:german_credit —[uses_dataset]→ dataset:UCI Statlog German Credit task:heart_cleveland —[uses_dataset]→ dataset:UCI heart-disease, processed.cleveland task:jobpost_fraud —[uses_dataset]→ dataset:EMSCAD (Employment Scam Aegean Dataset) task:landsat_statlog —[uses_dataset]→ dataset:UCI Statlog (Landsat Satellite) task:ledgar —[uses_dataset]→ dataset:LexGLUE / LEDGAR (SEC EDGAR filings) task:medabstracts —[uses_dataset]→ dataset:Medical Abstracts TC Corpus task:occupancy_detection —[uses_dataset]→ dataset:UCI Occupancy Detection task:occupancy_detection_2 —[uses_dataset]→ dataset:UCI Occupancy Detection task:octmnist —[uses_dataset]→ dataset:Kermany OCT task:organamnist —[uses_dataset]→ dataset:Liver Tumor Segmentation Benchmark (LiTS) task:organcmnist —[uses_dataset]→ dataset:Liver Tumor Segmentation Benchmark (LiTS) task:organcmnist_224 —[uses_dataset]→ dataset:Liver Tumor Segmentation Benchmark (LiTS) task:organsmnist —[uses_dataset]→ dataset:Liver Tumor Segmentation Benchmark (LiTS) task:pathmnist —[uses_dataset]→ dataset:NCT-CRC-HE-100K / CRC-VAL-HE-7K task:pneumoniamnist —[uses_dataset]→ dataset:Kermany pneumonia task:pneumoniamnist_224 —[uses_dataset]→ dataset:Kermany pneumonia task:retinamnist —[uses_dataset]→ dataset:DeepDRiD task:retinamnist_224 —[uses_dataset]→ dataset:DeepDRiD task:secom —[uses_dataset]→ dataset:UCI SECOM task:steel_plate_faults —[uses_dataset]→ dataset:Semeion Research Center / UCI Steel Plates Faults task:tissuemnist —[uses_dataset]→ dataset:BBBC051 / Broad task:wine_quality_red —[uses_dataset]→ dataset:UCI Wine Quality task:wine_quality_white —[uses_dataset]→ dataset:UCI Wine Quality axial
acquisition_setting · medicine
5 edges coronal
acquisition_setting · medicine
5 edges red (vinho verde)
acquisition_setting · agriculture
3 edges sagittal
acquisition_setting · medicine
5 edges test period 1
acquisition_setting · energy
3 edges test period 2
acquisition_setting · energy
3 edges white (vinho verde)
acquisition_setting · agriculture
3 edges 7ab31ab2d451
code_fingerprint
10 edges a158da61099e
code_fingerprint
10 edges b444c02112cc
code_fingerprint
19 edges b5b34c074f7f
code_fingerprint
3 edges dde8cf648b5e
code_fingerprint
1 edges de32bca72d56
code_fingerprint
4 edges BBBC051 / Broad
dataset · medicine
1 edges BUSI
dataset · medicine
2 edges Barcelona blood cell dataset
dataset · medicine
6 edges DeepDRiD
dataset · medicine
2 edges EMSCAD (Employment Scam Aegean Dataset)
dataset · labour
1 edges HAM10000
dataset · medicine
2 edges Kermany OCT
dataset · medicine
1 edges Kermany pneumonia
dataset · medicine
2 edges LexGLUE / LEDGAR (SEC EDGAR filings)
dataset · legal
1 edges Liver Tumor Segmentation Benchmark (LiTS)
dataset · medicine
4 edges Medical Abstracts TC Corpus
dataset · medicine
1 edges NCT-CRC-HE-100K / CRC-VAL-HE-7K
dataset · medicine
1 edges Semeion Research Center / UCI Steel Plates Faults
dataset · industrial
1 edges UCI Adult / Census Income
dataset · labour
1 edges UCI Anuran Calls (MFCCs)
dataset · ecology
1 edges UCI CoIL Challenge 2000 (tic-mld)
dataset · financial
1 edges UCI Dry Bean Dataset
dataset · agriculture
1 edges UCI Occupancy Detection
dataset · energy
2 edges UCI Pima Indians Diabetes
dataset · medicine
1 edges UCI SECOM
dataset · industrial
1 edges UCI Statlog (Landsat Satellite)
dataset · earth
1 edges UCI Statlog German Credit
dataset · financial
1 edges UCI Wine Quality
dataset · agriculture
2 edges UCI heart-disease, processed.cleveland
dataset · medicine
1 edges scikit-learn bundled WDBC
dataset · medicine
1 edges Agriculture
domain · agriculture
3 edges Alzheimers/cdr-sb
domain · alzheimers/cdr-sb
1 edges Earth
domain · earth
1 edges Ecology
domain · ecology
1 edges Energy
domain · energy
2 edges Financial
domain · financial
2 edges Industrial
domain · industrial
2 edges Labour
domain · labour
2 edges Legal
domain · legal
1 edges Medicine
domain · medicine
22 edges Medicine anchor
generation · medicine
1 edges generation 1
generation · medicine
8 edges generation 2
generation · medicine
7 edges public control arm
generation · medicine
6 edges Bioacoustic / MFCC
modality · ecology
1 edges CT
modality · medicine
4 edges Chest X-ray
modality · medicine
2 edges Clinical text
modality · medicine
1 edges Dermatoscopy
modality · medicine
2 edges Fundus
modality · medicine
2 edges Histopathology
modality · medicine
1 edges Legal text
modality · legal
1 edges Microscopy
modality · medicine
3 edges OCT
modality · medicine
1 edges Prognostic model / clinical trial
modality · medicine
2 edges Recruitment text
modality · labour
1 edges Tabular / clinical
modality · medicine
2 edges Tabular / environmental sensors
modality · energy
2 edges Tabular / financial
modality · financial
1 edges Tabular / imaging-derived
modality · medicine
3 edges Tabular / insurance
modality · financial
1 edges Tabular / multispectral
modality · earth
1 edges Tabular / physicochemical
modality · agriculture
2 edges Tabular / process sensors
modality · industrial
1 edges Tabular / socioeconomic
modality · labour
1 edges Ultrasound
modality · medicine
2 edges Baseline severity only (standard of care)
model
12 edges Baseline severity only (standard of care)
model
12 edges BiomedBERT frozen + linear probe
model
12 edges BiomedCLIP ViT-B/16 fine-tuned
model
7 edges BiomedCLIP ViT-B/16 frozen + linear probe
model
24 edges BiomedCLIP ViT-B/16 frozen + … BiomedCLIP ViT-B/16, zero-shot
model
24 edges BiomedCLIP ViT-B/16, zero-shot Small CNN, trained from scratch
model
22 edges Small CNN, trained from scrat… Covariate shopping over 20 candidate scores
model
13 edges Covariate shopping over 20 candidate scores
model
13 edges DINOv2 ViT-B/14 frozen + linear probe
model
24 edges DINOv2 ViT-B/14 frozen + line… GTE-base frozen + linear probe
model
11 edges HOG + logistic regression
model
25 edges HOG + logistic regression MLP (256) on raw pixels
model
25 edges MLP (256) on raw pixels PCA-64 + logistic regression
model
25 edges PCA-64 + logistic regression PubMedBERT-sentence frozen + linear probe
model
11 edges ResNet-18 (ImageNet) fine-tuned
model
22 edges ResNet-18 (ImageNet) frozen features + linear probe
model
25 edges ResNet-18 (ImageNet) frozen f… Random forest on raw pixels
model
26 edges Random forest on raw pixels Gradient boosting
model
21 edges Logistic regression
model
21 edges MLP (128, 64)
model
21 edges Random forest
model
21 edges TF-IDF + logistic regression
model
11 edges TF-IDF + MLP (256)
model
11 edges TF-IDF + complement naive Bayes
model
11 edges TF-IDF + linear SVM (Platt-scaled)
model
11 edges DELIBERATELY BROKEN twin -- anti-correlated, wrong scale
model
12 edges DELIBERATELY BROKEN twin -- anti-correlated, wrong scale
model
12 edges DELIBERATELY BROKEN twin -- non-monotone (magnitude, not direction)
model
12 edges DELIBERATELY BROKEN twin -- non-monotone (magnitude, not direction)
model
12 edges Degenerate twin (constant output)
model
12 edges Degenerate twin (constant output)
model
12 edges Prognostic twin, R^2 0.40 (specified quality)
model
12 edges Prognostic twin, R^2 0.40 (specified quality)
model
12 edges Prognostic twin, R^2 0.60 (specified quality)
model
12 edges Prognostic twin, R^2 0.60 (specified quality)
model
12 edges Prognostic twin, R^2 0.80 (specified quality)
model
12 edges Prognostic twin, R^2 0.80 (specified quality)
model
12 edges Useless twin (pure noise)
model
12 edges Useless twin (pure noise)
model
12 edges Transferred twin (age only)
model
12 edges Transferred twin (age only)
model
12 edges MedEval-1 v0.1
spec_version
22 edges MedEval-1 v0.1 + T-PV1 (prognostic validity extension, draft)
spec_version
20 edges Census income (>$50K)
task · labour
7 edges Anuran call species (10-class)
task · ecology
7 edges Peripheral blood cells (8-class)
task · medicine
14 edges Peripheral blood cells (8-class) @224px
task · medicine
7 edges Breast cytology (WDBC)
task · medicine
7 edges Breast ultrasound (malignancy)
task · medicine
14 edges Breast ultrasound (malignancy) @224px
task · medicine
8 edges Caravan insurance purchase (CoIL 2000)
task · financial
7 edges Dermatoscopy (7-class skin lesion)
task · medicine
14 edges Dermatoscopy (7-class skin lesion) @224px
task · medicine
7 edges Diabetes onset (Pima)
task · medicine
7 edges Dry bean variety (7-class)
task · agriculture
7 edges Consumer credit risk (Statlog)
task · financial
7 edges Coronary artery disease (Cleveland)
task · medicine
7 edges Fraudulent job posting detection
task · labour
10 edges Landsat satellite land cover (6-class)
task · earth
7 edges Contract provision type (100-class)
task · legal
10 edges Medical abstracts (5-class condition)
task · medicine
10 edges Room occupancy from sensors (period 1)
task · energy
9 edges Room occupancy from sensors (period 2)
task · energy
9 edges Retinal OCT (4-class)
task · medicine
10 edges Abdominal CT organs — axial (A)
task · medicine
14 edges Abdominal CT organs — coronal (C)
task · medicine
17 edges Abdominal CT organs — coronal (C) @224px
task · medicine
9 edges Abdominal CT organs — sagittal (S)
task · medicine
14 edges Colorectal pathology (9-class tissue)
task · medicine
10 edges Paediatric chest X-ray (pneumonia)
task · medicine
14 edges Paediatric chest X-ray (pneumonia) @224px
task · medicine
7 edges Prognostic-model trial validity (PROCOVA)
task · medicine
13 edges Prognostic-model trial validity (PROCOVA)
task · alzheimers/cdr-sb
13 edges Fundus photography (DR grade)
task · medicine
14 edges Fundus photography (DR grade) @224px
task · medicine
8 edges Semiconductor fabrication pass/fail
task · industrial
7 edges Steel plate surface faults (7-class)
task · industrial
7 edges Kidney cortex cells (8-class)
task · medicine
10 edges Wine quality, red (binarised)
task · agriculture
9 edges Wine quality, white (binarised)
task · agriculture
9 edges
155 nodes and 632 edges shown, the 10 busiest labelled. Click any node for its record; hover a legend row to light that type up. Layout is a deterministic force simulation with no transcendental arithmetic in it, so it draws the same every time, in every engine.
Not drawn · 46 unconnected d50ab00f9ad4 code_fingerprint · Tyto Insights for Eardrum Bulging Detection regulatory_approval · Deep Capsule® (Deep Capsule US) regulatory_approval · Magnifico Open (100009900) regulatory_approval · Tyto Stethoscope (G3) regulatory_approval · Trinias regulatory_approval · Butterfly Gestational Age Tool regulatory_approval · InferCare RECIST regulatory_approval · SurgiCount+ System regulatory_approval · syngo.via RT Image Suite VC10 regulatory_approval · ECG-AI Pulmonary Hypertension (PH) 12-Lead algorithm (1020) regulatory_approval · JLK-NCCT regulatory_approval · Sonio Detect (v3) regulatory_approval · CEPHX3D regulatory_approval · CT Rembra RT; CT Areta RT; CT Rembra regulatory_approval · Contour ProtégéAI+ regulatory_approval · Stealth AXiS Cranial clinical application regulatory_approval · LiverMultiScan (v6.0) regulatory_approval · EarliPoint Assessment regulatory_approval · Photonova Spectra, Photonova Spectra Select regulatory_approval · VELYS Hip Navigation regulatory_approval · SOMATOM X.cite; SOMATOM X.ceed regulatory_approval · Alphenix, INFX-8000V/B, INFX-8000V/S, V9.6 with aEvolve Imaging (FOV Extension) regulatory_approval · Clarius Ejection Fraction AI regulatory_approval · EPIQ Series Diagnostic Ultrasound System, Affiniti Series Diagnostic Ultrasound System regulatory_approval · EchoNavigator R5.0 regulatory_approval · Vantage Fortian/Orian 1.5T, MRT-1550, V10.0 with AiCE Reconstruction Processing Unit for MR regulatory_approval · Spectral CT Verida Family regulatory_approval · Onera SleepMap (SLEEPMAP) regulatory_approval · True Definition DL regulatory_approval · SwiftMR regulatory_approval · Lunit INSIGHT DBT (V1.2) regulatory_approval · Annalise Enterprise regulatory_approval · QT Scanner 2000 Model A regulatory_approval · Data Analysis Facilitation Suite (DAFS) regulatory_approval · Automated Aortic Stenosis Software (AutoAS) regulatory_approval · AiORTA - Plan v2.0 regulatory_approval · Aquilion ServeSP (TSX-307B) V2.0 regulatory_approval · Bunkerhill Contrast CAC regulatory_approval · Bunkerhill Contrast AVC regulatory_approval · AV Cardiac CT regulatory_approval · AutoContour (RADAC V5) regulatory_approval · LOGIQ Vita; LOGIQ Vita Pro; LOGIQ Vita Express; LOGIQ Vita Plus; LOGIQ Vita Power; LOGIQ S20; LOGIQ S20 Pro; LOGIQ S20 Express; LOGIQ S20 Plus; LOGIQ S20 Power regulatory_approval · S-scan Open (100001800) regulatory_approval · Claire OCT System regulatory_approval · MedEval-1 v0.1 -- held-out track HP-1 spec_version These carry no edge under the current filter, so they are listed rather than plotted — a force layout pushes an unconnected node to the frame edge and squashes the rest of the graph to fit it.
Node types
Model 42 Task 37 Dataset / corpus 25 Modality 22 Domain 10 Acquisition setting 7 Held-out generation 4 Spec version 3 Code fingerprint 7 Regulatory approval 44 Click to hide a type.
Node types with nothing in them
Hospital / site 0 Deployment 0 Scanner (physical equipment) 0 Clinician 0 Publication 0 Defined in the schema, populated by nothing. Hover for what each one would need. These counts are real zeros, not missing data.
Edge types
benchmarked on 216 evaluated under 89 shares dataset 13 compared with 165 transfers to 10 retired by 1 contaminated by 1 failed on 2 scored on 15 uses dataset 35 has modality 37 in domain 37 measured in setting 7 drawn from 4 Edge types with nothing in them
deployed at 0 approved for 0 reported in 0 Defined in the schema, populated by nothing. Hover for what each one would need. These counts are real zeros, not missing data.