| Filename |
Size |
| samples_1151940_features_29_edge_embedding_id_42220_X.npy.gz | 234.5M |
| samples_1069964_features_29_node_embedding_id_42218_X.npy.gz | 217.4M |
| samples_992641_features_29_grasping-dataset_id_43708_X.npy.gz | 190.1M |
| samples_1000000_features_32_bng(wisconsin)_id_1187_X.npy.gz | 180.1M |
| samples_400000_features_100_yolanda_id_42705_X.npy.gz | 170.5M |
| samples_2596777_features_13_mlr_xgboost_rng_id_42459_X.npy.gz | 147.5M |
| samples_200000_features_200_santandercustomersatisfaction_id_42395_X.npy.gz | 135.5M |
| samples_1000000_features_40_bng(ailerons)_id_1207_X.npy.gz | 129.3M |
| samples_1000000_features_21_bng(cpu_act)_id_1190_X.npy.gz | 114.3M |
| samples_1000000_features_18_bng(vehicle)_id_42718_X.npy.gz | 111.4M |
| samples_5192_features_2916_gtsrb-hog03_subset_9_id_41989_X.npy.gz | 95.7M |
| samples_5183_features_2916_gtsrb-hog03_subset_4_id_41989_X.npy.gz | 95.6M |
| samples_5183_features_2916_gtsrb-hog03_subset_3_id_41989_X.npy.gz | 95.6M |
| samples_5183_features_2916_gtsrb-hog03_subset_6_id_41989_X.npy.gz | 95.5M |
| samples_5183_features_2916_gtsrb-hog03_subset_8_id_41989_X.npy.gz | 95.5M |
| samples_5183_features_2916_gtsrb-hog03_subset_0_id_41989_X.npy.gz | 95.5M |
| samples_5183_features_2916_gtsrb-hog03_subset_7_id_41989_X.npy.gz | 95.5M |
| samples_5183_features_2916_gtsrb-hog03_subset_5_id_41989_X.npy.gz | 95.5M |
| samples_5183_features_2916_gtsrb-hog03_subset_2_id_41989_X.npy.gz | 95.4M |
| samples_5183_features_2916_gtsrb-hog03_subset_1_id_41989_X.npy.gz | 95.4M |
| samples_1000000_features_15_bng(autos,1000,10)_id_1395_X.npy.gz | 94.3M |
| samples_1000000_features_15_bng(autos,1000,5)_id_1394_X.npy.gz | 94.3M |
| samples_1000000_features_15_bng(autos,5000,10)_id_1398_X.npy.gz | 94.3M |
| samples_1000000_features_15_bng(autos,10000,10)_id_1401_X.npy.gz | 94.2M |
| samples_1000000_features_15_bng(autos,5000,5)_id_1397_X.npy.gz | 94.2M |
| samples_1000000_features_15_bng(autos,1000,1)_id_1393_X.npy.gz | 94.2M |
| samples_1000000_features_15_bng(autos,10000,5)_id_1400_X.npy.gz | 94.2M |
| samples_1000000_features_15_bng(autos,5000,1)_id_1396_X.npy.gz | 94.2M |
| samples_1000000_features_15_bng(autos,10000,1)_id_1399_X.npy.gz | 94.2M |
| samples_1000000_features_15_bng(autos)_id_248_X.npy.gz | 94.2M |
| samples_1000000_features_15_autos_id_45080_X.npy.gz | 94.2M |
| samples_1000000_features_15_bng(baseball)_id_1184_X.npy.gz | 93.0M |
| samples_1000000_features_17_bng(autohorse)_id_1192_X.npy.gz | 91.3M |
| samples_1000000_features_16_bng(pendigits)_id_261_X.npy.gz | 91.1M |
| samples_940160_features_24_higgs_id_44092_X.npy.gz | 88.6M |
| samples_1000000_features_18_bng(cylinder-bands)_id_262_X.npy.gz | 88.0M |
| samples_1000000_features_15_bng(autoprice)_id_1195_X.npy.gz | 87.8M |
| samples_1000000_features_14_bng(auto_price)_id_1189_X.npy.gz | 86.1M |
| samples_2078931_features_18_new-york-taxi-trip-enriched-by-mathematica_id_43584_X.npy.gz | 82.4M |
| samples_1000000_features_14_bng(japanesevowels)_id_1214_X.npy.gz | 81.4M |