kc1-numeric (1) |
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qqdefects_numeric (1) |
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nasa_numeric (1) |
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rsctc2010_1 (1) |
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rsctc2010_2 (1) |
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rsctc2010_3 (1) |
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rsctc2010_4 (1) |
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rsctc2010_5 (1) |
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rsctc2010_6 (1) |
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mouseType (1) |
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BurkittLymphoma (1) |
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anthracyclineTaxaneChemotherapy (1) |
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ovarianTumour (1) |
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hepatitisC (1) |
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variousCancers_final (1) |
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USCrime (1) |
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MercuryinBass (1) |
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SMSA (1) |
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Brainsize (1) |
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Acorns (1) |
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Cereals (1) |
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FacultySalaries (1) |
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ICU (1) |
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pubexpendat (1) |
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EgyptianSkulls (1) |
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PopularKids (1) |
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yeast_gene (1) |
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GCM (1) |
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KDDCup99_full (1) |
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KDDCup09_appetency (1) |
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KDDCup09_churn (1) |
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KDDCup99 (1) |
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KDDCup09_upselling (1) |
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AP_Breast_Prostate (1) |
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AP_Endometrium_Breast (1) |
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AP_Omentum_Uterus (1) |
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AP_Omentum_Prostate (1) |
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AP_Colon_Lung (1) |
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AP_Uterus_Kidney (1) |
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AP_Prostate_Uterus (1) |
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AP_Omentum_Lung (1) |
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AP_Ovary_Lung (1) |
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AP_Endometrium_Prostate (1) |
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OVA_Prostate (1) |
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AP_Ovary_Kidney (1) |
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pc1_req (1) |
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airlines (1) |
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Goteborg_52 (1) |
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BNG(primary-tumor) (1) |
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BNG(baseball) (1) |
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BNG(wine) (1) |
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BNG(wisconsin) (1) |
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BNG(cleveland) (1) |
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BNG(cpu_act) (1) |
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BNG(pbc) (1) |
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BNG(lowbwt) (1) |
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BNG(cholesterol) (1) |
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BNG(Australian) (1) |
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BNG(SPECT) (1) |
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BNG(JapaneseVowels) (1) |
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letter-challenge-unlabeled.arff (1) |
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letter-challenge-labeled.arff (1) |
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nki70.arff (1) |
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TAM_k_d (1) |
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eating (1) |
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vehicleNorm (1) |
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lungcancer_shedden (1) |
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BNG(anneal,1000,1) (1) |
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BNG(anneal,5000,5) (1) |
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BNG(anneal,10000,5) (1) |
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BNG(anneal,10000,10) (1) |
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BNG(anneal.ORIG,1000,5) (1) |
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BNG(anneal.ORIG,10000,5) (1) |
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BNG(kr-vs-kp,1000,1) (1) |
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BNG(kr-vs-kp,1000,5) (1) |
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BNG(kr-vs-kp,10000,5) (1) |
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BNG(letter,1000,1) (1) |
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BNG(letter,1000,5) (1) |
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BNG(letter,1000,10) (1) |
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BNG(letter,5000,1) (1) |
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BNG(letter,5000,5) (1) |
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BNG(letter,5000,10) (1) |
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BNG(letter,10000,1) (1) |
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BNG(letter,10000,5) (1) |
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BNG(letter,10000,10) (1) |
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BNG(audiology,1000,1) (1) |
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BNG(audiology,1000,5) (1) |
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BNG(audiology,1000,10) (1) |
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BNG(audiology,5000,1) (1) |
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BNG(audiology,5000,5) (1) |
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BNG(audiology,5000,10) (1) |
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BNG(autos,1000,1) (1) |
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BNG(autos,1000,5) (1) |
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BNG(autos,1000,10) (1) |
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BNG(autos,5000,1) (1) |
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BNG(autos,5000,5) (1) |
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BNG(autos,5000,10) (1) |
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BNG(autos,10000,1) (1) |
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BNG(autos,10000,5) (1) |
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BNG(autos,10000,10) (1) |
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BNG(lymph,1000,1) (1) |
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BNG(lymph,1000,5) (1) |
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BNG(lymph,1000,10) (1) |
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BNG(lymph,5000,1) (1) |
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BNG(lymph,5000,5) (1) |
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BNG(lymph,5000,10) (1) |
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BNG(lymph,10000,1) (1) |
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BNG(lymph,10000,5) (1) |
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BNG(lymph,10000,10) (1) |
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lungcancer_GSE31210 (1) |
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MyIris (1) |
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Kaggle_bike_sharing_demand_challange (1) |
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physionet_asystole (1) |
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physionet_bradycardia (1) |
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physionet_tachycardia (1) |
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contact-lenses (1) |
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cpu.with.vendor (1) |
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a1a (1) |
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a2a (1) |
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a3a (1) |
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a4a (1) |
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a5a (1) |
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a6a (1) |
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a7a (1) |
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a8a (1) |
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a9a (1) |
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colon-cancer (1) |
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svmguide1 (1) |
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duke-breast-cancer (1) |
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fourclass (1) |
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german.numer (1) |
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iris-test (1) |
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KungChi3 (1) |
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KnuggetChase3 (1) |
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acute-inflammations (1) |
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appendicitis (1) |
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amazon-commerce-reviews (1) |
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arcene (1) |
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artificial-characters (1) |
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banana (1) |
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bank-marketing (1) |
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banknote-authentication (1) |
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blogger (1) |
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blood-transfusion-service-center (1) |
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breast-tissue (1) |
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cardiotocography (1) |
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climate-model-simulation-crashes (1) |
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cnae-9 (1) |
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QSAR-TID-11279 (1) |
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QSAR-TID-12173 (1) |
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QSAR-TID-103037 (1) |
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QSAR-TID-10396 (1) |
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QSAR-TID-10967 (1) |
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QSAR-TID-12264 (1) |
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QSAR-TID-101226 (1) |
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QSAR-TID-30036 (1) |
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QSAR-TID-101211 (1) |
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QSAR-TID-18046 (1) |
|
QSAR-TID-10647 (1) |
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QSAR-TID-100914 (1) |
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QSAR-TID-100909 (1) |
|
QSAR-TID-20105 (1) |
|
QSAR-TID-10355 (1) |
|
QSAR-TID-30028 (1) |
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QSAR-TID-101069 (1) |
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QSAR-TID-102849 (1) |
|
QSAR-TID-11802 (1) |
|
QSAR-TID-100410 (1) |
|
QSAR-TID-10696 (1) |
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QSAR-TID-10294 (1) |
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QSAR-TID-100948 (1) |
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QSAR-TID-103062 (1) |
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QSAR-TID-101301 (1) |
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QSAR-TID-17113 (1) |
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QSAR-TID-11049 (1) |
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QSAR-TID-17107 (1) |
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QSAR-TID-101312 (1) |
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QSAR-TID-11896 (1) |
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QSAR-TID-76 (1) |
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QSAR-TID-100906 (1) |
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QSAR-TID-10274 (1) |
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QSAR-TID-10548 (1) |
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QSAR-TID-108 (1) |
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QSAR-TID-12828 (1) |
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QSAR-TID-10621 (1) |
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QSAR-TID-11780 (1) |
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QSAR-TID-30043 (1) |
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QSAR-TID-10473 (1) |
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QSAR-TID-10682 (1) |
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QSAR-TID-138 (1) |
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QSAR-TID-101332 (1) |
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QSAR-TID-56 (1) |
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QSAR-TID-11784 (1) |
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QSAR-TID-271 (1) |
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QSAR-TID-30004 (1) |
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QSAR-TID-10803 (1) |
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QSAR-TID-12327 (1) |
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QSAR-TID-10962 (1) |
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QSAR-TID-101276 (1) |
|
kdd_internet_usage (2) |
|
Bioresponse (1) |
0.70345191728959 |
Amazon_employee_access (1) |
0.49986821296784 |
Dexter (1) |
0.85756666666667 |
DBpedia(YAGO).arff (1) |
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Wikidata (1) |
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NELL (1) |
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Smartphone-Based_Recognition_of_Human_Activities (1) |
0.95214814814815 |
CreditCardSubset (1) |
0.7177995724653 |
thoracic_surgery (1) |
0.5 |
Engine1 (1) |
0.91374877954813 |
YearPredictionMSD (1) |
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Concrete_Data (1) |
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InterferenceSeperation (1) |
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parkinsons-telemonitoring (1) |
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higgs (1) |
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KEGGMetabolicReactionNetwork (1) |
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PhishingWebsites (1) |
0.95491613452352 |
Census-Income (1) |
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GesturePhaseSegmentationProcessed (1) |
0.68975438450934 |
ParkinsonSpeechDatasetwithMultipleTypesofSoundRecordings (1) |
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Diabetes130US (1) |
0.60838292985151 |
GeographicalOriginalofMusic (1) |
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OnlineNewsPopularity (1) |
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BuzzinsocialmediaTomsHardware (1) |
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Buzzinsocialmedia_Twitter (1) |
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mv (1) |
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aids (1) |
0.3728 |
codrna (1) |
0.97358026999841 |
poker (1) |
0.82562396563373 |
chembl1075021test1 (1) |
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internet_usage (1) |
0.77976368582863 |
UNIX_user_data (1) |
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SyskillWebert-BioMedical (1) |
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SyskillWebert-Sheep (1) |
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SyskillWebert-Goats (1) |
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SyskillWebert-Bands (1) |
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tr31.wc (1) |
0.94803687496627 |
oh15.wc (1) |
0.85386663051336 |
new3s.wc (1) |
0.85760624897444 |
la2s.wc (1) |
0.87424382815016 |
oh5.wc (1) |
0.89031482660023 |
re1.wc (1) |
0.90120641002579 |
la1s.wc (1) |
0.8482476164416 |
wap.wc (1) |
0.80876630003686 |
ohscal.wc (1) |
0.85129541497172 |
yokohoma2 (1) |
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heyl (1) |
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yokohoma1 (1) |
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mtp (1) |
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qsbr_y2 (1) |
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krystek (1) |
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depreux (1) |
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pdgfr (1) |
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carbolenes (1) |
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garrat2 (1) |
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Phen (1) |
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siddiqi (1) |
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lewis (1) |
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thompson (1) |
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yprop_4_1 (1) |
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tsutumi (1) |
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strupcz (1) |
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PHENETYL1 (1) |
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cristalli (1) |
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selwood (1) |
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topo_2_1 (1) |
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svensson (1) |
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pah (1) |
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penning (1) |
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qsfsr1 (1) |
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qsfrdhla (1) |
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qsprcmpx (1) |
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qsfsr2 (1) |
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mtp2 (1) |
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qsbralks (1) |
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stevenson (1) |
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qsartox (1) |
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benzo32 (1) |
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uehling (1) |
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rosowky (1) |
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garrat (1) |
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doherty (1) |
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chang (1) |
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qsabr2 (1) |
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qsabr1 (1) |
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qsbr_rw1 (1) |
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prnn_crabs (1) |
0.8569 |
analcatdata_birthday (1) |
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analcatdata_draft (1) |
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cjs (1) |
0.99849425957921 |
arsenic-male-bladder (1) |
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iq_brain_size (1) |
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analcatdata_vehicle (1) |
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papir_2 (1) |
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dj30-1985-2003 (1) |
0.96376432182009 |
hip (1) |
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analcatdata_negotiation (1) |
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newton_hema (1) |
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wind_correlations (1) |
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analcatdata_hiroshima (1) |
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djdc0093 (1) |
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veteran (1) |
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analcatdata_runshoes (1) |
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analcatdata_vineyard (1) |
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analcatdata_impeach (1) |
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analcatdata_whale (1) |
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wind (1) |
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analcatdata_supreme (1) |
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tecator (1) |
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analcatdata_gsssexsurvey (1) |
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space_ga (1) |
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nflpass (1) |
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places (1) |
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sleep (2) |
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plasma_retinol (1) |
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balloon (1) |
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arsenic-female-lung (1) |
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baseball-team (1) |
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pbcseq (1) |
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analcatdata_gviolence (1) |
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vinnie (1) |
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analcatdata_wildcat (1) |
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analcatdata_ncaa (1) |
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pm10 (1) |
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analcatdata_neavote (1) |
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pbc (2) |
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analcatdata_seropositive (1) |
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analcatdata_election2000 (1) |
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humandevel (1) |
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pollen (1) |
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analcatdata_olympic2000 (1) |
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boston (1) |
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analcatdata_uktrainacc (1) |
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arsenic-female-bladder (1) |
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cps_85_wages (1) |
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analcatdata_chlamydia (1) |
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arsenic-male-lung (1) |
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houses (1) |
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analcatdata_galapagos (1) |
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mu284 (1) |
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socmob (1) |
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pollution (1) |
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boston_corrected (1) |
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transplant (1) |
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lmpavw (1) |
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sensory (1) |
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no2 (1) |
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strikes (1) |
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quake (2) |
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analcatdata_michiganacc (1) |
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detroit (2) |
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kidney (1) |
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analcatdata_apnea3 (1) |
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analcatdata_apnea2 (1) |
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analcatdata_apnea1 (1) |
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bank32nh (1) |
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bodyfat (1) |
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cpu (1) |
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cpu_small (2) |
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fried (1) |
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meta (1) |
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kdd_coil_1 (1) |
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kdd_coil_2 (1) |
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auto93 (1) |
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kdd_coil_3 (1) |
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delta_elevators (2) |
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bank8FM (1) |
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cpu_act (2) |
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house_16H (1) |
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kdd_coil_4 (1) |
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kdd_coil_5 (1) |
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kdd_coil_6 (1) |
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kdd_coil_7 (1) |
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fri_c0_250_5 (1) |
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fri_c4_250_100 (1) |
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fri_c3_500_25 (1) |
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fri_c1_500_25 (1) |
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fri_c1_1000_50 (1) |
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fri_c4_500_25 (1) |
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fri_c3_100_10 (1) |
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fri_c3_1000_25 (1) |
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fri_c3_100_50 (1) |
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fri_c4_1000_100 (1) |
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fri_c2_1000_25 (1) |
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fri_c0_1000_50 (1) |
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fri_c1_100_10 (1) |
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fri_c4_1000_25 (1) |
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fri_c1_1000_10 (1) |
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fri_c2_100_5 (1) |
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fri_c0_1000_10 (1) |
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fri_c2_250_5 (1) |
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fri_c2_500_5 (1) |
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fri_c0_1000_25 (1) |
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fri_c2_1000_5 (1) |
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fri_c0_100_50 (1) |
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fri_c1_250_5 (1) |
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fri_c3_250_10 (1) |
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fri_c0_250_50 (1) |
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fri_c4_500_10 (1) |
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fri_c2_250_25 (1) |
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fri_c2_1000_10 (1) |
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fri_c4_1000_50 (1) |
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fri_c3_1000_10 (1) |
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fri_c0_1000_5 (1) |
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fri_c4_500_100 (1) |
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fri_c3_100_5 (1) |
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fri_c1_1000_5 (1) |
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fri_c3_250_5 (1) |
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fri_c1_250_25 (1) |
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fri_c4_250_10 (1) |
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fri_c4_500_50 (1) |
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fri_c3_500_5 (1) |
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fri_c3_1000_50 (1) |
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fri_c4_250_50 (1) |
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fri_c1_1000_25 (1) |
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fri_c0_100_10 (1) |
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fri_c2_1000_50 (1) |
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fri_c4_1000_10 (1) |
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fri_c0_100_5 (1) |
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fri_c4_100_25 (1) |
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fri_c2_500_50 (1) |
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fri_c2_500_10 (1) |
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fri_c3_1000_5 (1) |
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fri_c1_100_25 (1) |
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fri_c2_100_50 (1) |
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fri_c1_500_5 (1) |
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fri_c3_250_50 (1) |
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fri_c0_500_25 (1) |
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fri_c2_100_10 (1) |
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fri_c0_250_10 (1) |
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fri_c1_100_50 (1) |
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fri_c1_500_50 (1) |
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fri_c2_250_50 (1) |
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fri_c3_100_25 (1) |
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fri_c4_100_10 (1) |
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fri_c1_500_10 (1) |
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fri_c4_100_50 (1) |
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fri_c2_500_25 (1) |
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fri_c4_250_25 (1) |
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fri_c3_500_50 (1) |
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fri_c3_500_10 (1) |
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fri_c1_250_10 (1) |
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fri_c1_250_50 (1) |
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fri_c0_500_5 (1) |
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fri_c0_500_50 (1) |
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fri_c0_100_25 (1) |
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fri_c4_100_100 (1) |
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fri_c0_250_25 (1) |
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fri_c0_500_10 (1) |
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fri_c2_100_25 (1) |
|
fri_c1_100_5 (1) |
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fri_c2_250_10 (1) |
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fri_c3_250_25 (1) |
|
sleuth_ex1714 (1) |
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rabe_265 (1) |
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sleuth_case1102 (1) |
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rabe_266 (1) |
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chscase_census6 (1) |
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sleuth_case2002 (1) |
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rmftsa_ladata (1) |
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witmer_census_1980 (1) |
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chscase_census5 (1) |
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chscase_census4 (1) |
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chscase_census3 (1) |
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chscase_census2 (1) |
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chscase_demand (1) |
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visualizing_slope (1) |
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disclosure_x_tampered (1) |
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visualizing_environmental (1) |
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chscase_funds (1) |
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hutsof99_logis (1) |
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rabe_166 (1) |
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rmftsa_ctoarrivals (1) |
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sleuth_ex1605 (1) |
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visualizing_soil (1) |
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chscase_vine2 (1) |
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visualizing_galaxy (1) |
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chscase_vine1 (1) |
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rabe_131 (1) |
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diggle_table_a1 (1) |
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chatfield_4 (1) |
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hutsof99_child_witness (1) |
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rabe_97 (1) |
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rabe_176 (1) |
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disclosure_z (1) |
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sleuth_ex1221 (1) |
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chscase_foot (1) |
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disclosure_x_noise (1) |
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chscase_health (1) |
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sleuth_case1202 (1) |
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sleuth_case1201 (1) |
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visualizing_hamster (1) |
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disclosure_x_bias (1) |
|
rabe_148 (1) |
|
visualizing_ethanol (1) |
|
chscase_geyser1 (1) |
|
BNG(anneal,nominal,1000000) (1) |
0.98159764317496 |
BNG(anneal.ORIG,nominal,1000000) (1) |
0.94562300363901 |
BNG(kr-vs-kp) (1) |
0.97906913442511 |
BNG(labor,nominal,1000000) (1) |
0.98751276801559 |
BNG(letter,nominal,1000000) (1) |
0.93597268790117 |
BNG(autos,nominal,1000000) (1) |
0.90390005323002 |
BNG(lymph,nominal,1000000) (1) |
0.96103583958408 |
BNG(breast-cancer,nominal,1000000) (1) |
0.76536919513844 |
BNG(mfeat-fourier,nominal,1000000) (1) |
0.92502307404876 |
BNG(mfeat-karhunen,nominal,1000000) (1) |
0.97564556034964 |
BNG(bridges_version1,nominal,1000000) (1) |
0.91808338377296 |
BNG(bridges_version2,nominal,1000000) (1) |
0.92518721442362 |
BNG(mfeat-zernike,nominal,1000000) (1) |
0.91515863309738 |
BNG(mushroom) (1) |
0.99627420486873 |
BNG(colic.ORIG,nominal,1000000) (1) |
0.87761493807549 |
BNG(colic,nominal,1000000) (1) |
0.93155251184122 |
BNG(optdigits) (1) |
0.94908317119113 |
BNG(credit-a,nominal,1000000) (1) |
0.93248953466967 |
BNG(page-blocks,nominal,295245) (1) |
0.82613013228574 |
BNG(credit-g,nominal,1000000) (1) |
0.78726431373456 |
BNG(pendigits,nominal,1000000) (1) |
0.97880493695184 |
BNG(cylinder-bands,nominal,1000000) (1) |
0.82665021249698 |
BNG(dermatology,nominal,1000000) (1) |
0.99241022589908 |
BNG(segment) (1) |
0.9785864641682 |
BNG(sick,nominal,1000000) (1) |
0.83509915824533 |
BNG(sonar,nominal,1000000) (1) |
0.89009811075301 |
BNG(glass,nominal,137781) (1) |
0.87006741967182 |
BNG(soybean) (1) |
0.98061625190395 |
BNG(spambase) (1) |
0.65833321168312 |
BNG(heart-c,nominal,1000000) (1) |
0.93777820404046 |
BNG(heart-h,nominal,1000000) (1) |
0.93229755050839 |
BNG(trains) (1) |
0.96838420163172 |
BNG(heart-statlog,nominal,1000000) (1) |
0.94466173230823 |
BNG(vehicle,nominal,1000000) (1) |
0.8925364902477 |
BNG(hepatitis,nominal,1000000) (1) |
0.95495389575757 |
BNG(vote) (1) |
0.98943903072951 |
BNG(hypothyroid,nominal,1000000) (1) |
0.70037318564208 |
BNG(vowel,nominal,1000000) (1) |
0.94214945569318 |
BNG(ionosphere) (1) |
0.97040212268638 |
BNG(waveform-5000,nominal,1000000) (1) |
0.91739446902932 |
BNG(zoo,nominal,1000000) (1) |
0.99586964499345 |
CovPokElec (1) |
0.98392657305739 |
covertype (3) |
0.95799451898859 |
Hyperplane_10_1E-3 (1) |
0.73139813076735 |
Hyperplane_10_1E-4 (1) |
0.85317834738073 |
LED(50000) (1) |
0.84746539790845 |
pokerhand (1) |
0.99827963477053 |
RandomRBF_0_0 (1) |
0.92764624458182 |
RandomRBF_10_1E-3 (1) |
0.86579372261789 |
RandomRBF_10_1E-4 (1) |
0.89301659755605 |
RandomRBF_50_1E-3 (1) |
0.54291372465599 |
RandomRBF_50_1E-4 (1) |
0.71545183810199 |
SEA(50) (1) |
0.87129215098935 |
SEA(50000) (1) |
0.87045049163495 |
monks-problems-1_test (1) |
0.99317343964335 |
monks-problems-1_train (1) |
0.76651925078044 |
monks-problems-2_test (1) |
0.5 |
monks-problems-2_train (1) |
0.42998511904762 |
monks-problems-3_test (1) |
0.99488304093567 |
monks-problems-3_train (1) |
0.9497311827957 |
spect_test (1) |
0.48333333333333 |
spect_train (1) |
0.65875 |
spectf_test (1) |
0.70577740016992 |
spectf_train (1) |
0.720625 |
covertype (1) |
0.86922363182689 |
kin8nm (1) |
|
mbagrade (1) |
|
wisconsin (1) |
|
vineyard (1) |
|
bolts (1) |
|
cleveland (1) |
|
auto_price (1) |
|
autoMpg (1) |
|
cpu_act (1) |
|
delta_elevators (1) |
|
fruitfly (1) |
|
pbc (1) |
|
pol (1) |
|
lowbwt (1) |
|
cholesterol (1) |
|
sleep (1) |
|
triazines (1) |
|
autoPrice (1) |
|
detroit (1) |
|
quake (1) |
|
cloud (1) |
|
longley (1) |
|
diabetes_numeric (1) |
|
pharynx (1) |
|
baskball (1) |
|
2dplanes (1) |
|
elevators (1) |
|
pyrim (1) |
|
house_8L (1) |
|
echoMonths (1) |
|
stock (1) |
|
breastTumor (1) |
|
puma8NH (1) |
|
gascons (1) |
|
cpu_small (1) |
|
elusage (1) |
|
pwLinear (1) |
|
machine_cpu (1) |
|
hungarian (1) |
|
fishcatch (1) |
|
BNG(anneal) (1) |
0.98001671708547 |
BNG(anneal.ORIG) (2) |
0.94484917259074 |
BNG(labor) (2) |
0.97224294661786 |
BNG(letter) (2) |
0.82809657354568 |
BNG(autos) (1) |
0.82335196586888 |
BNG(lymph) (1) |
0.96181192071802 |
BNG(mfeat-fourier) (1) |
0.88941621926899 |
BNG(mfeat-karhunen) (1) |
0.922156070859 |
BNG(bridges_version1) (1) |
0.92771165242186 |
BNG(mfeat-zernike) (1) |
0.84908858577143 |
BNG(colic.ORIG) (1) |
0.91449827764699 |
BNG(colic) (1) |
0.9108771598016 |
BNG(credit-a) (1) |
0.92644940529771 |
BNG(page-blocks) (1) |
0.87043570328192 |
BNG(credit-g) (1) |
0.75271449602241 |
BNG(pendigits) (1) |
0.93847703260695 |
BNG(cylinder-bands) (1) |
0.83245587599089 |
BNG(dermatology) (1) |
0.99228506125638 |
BNG(sonar) (1) |
0.78120852247793 |
BNG(glass) (1) |
0.80861105430242 |
BNG(heart-c) (1) |
0.93150307307815 |
BNG(heart-statlog) (1) |
0.93745060103892 |
BNG(vehicle) (1) |
0.82238489023511 |
BNG(hepatitis) (1) |
0.91929839078589 |
BNG(vowel) (1) |
0.85919285630459 |
BNG(waveform-5000) (1) |
0.88715511170476 |
BNG(zoo) (1) |
0.99471545876549 |
IMDB.drama (1) |
0.51368917056309 |
20_newsgroups.drift (1) |
|
wine_quality (1) |
|
covertype (2) |
0.95160381173441 |
satellite_image (1) |
|
Ailerons (1) |
|
coil2000 (1) |
|
libras_move (1) |
|
ozone_level (1) |
|
puma32H (1) |
|
us_crime (1) |
|
bridges (3) |
0.78818087419151 |
bridges (4) |
0.79171068395272 |
liver-disorders (1) |
|
bridges (1) |
0.8125317351722 |
bridges (2) |
0.80296447397413 |
hayes-roth_test (1) |
0.45291005291005 |
hayes-roth_train (1) |
0.9255518144407 |
vowel (1) |
0.87426992143659 |
cloud (2) |
0.56414473684211 |
vowel (3) |
0.8945 |
cjs (2) |
0.99902841098632 |
ESL (1) |
|
SWD (1) |
|
LEV (1) |
|
ERA (1) |
|
ESL (2) |
|
ada_prior (1) |
0.83712732695299 |
hiva_agnostic (1) |
0.60493814975655 |
gina_prior (1) |
0.8570450262233 |
usp05 (1) |
0.90961499113636 |
cocomo_numeric (1) |
|
humans_numeric (1) |
|
dresses-sales (1) |
0.53697044334975 |
eeg-eye-state (1) |
0.82719338772788 |
energy-efficiency (1) |
0.87768838571602 |
fertility (1) |
0.5 |
first-order-theorem-proving (1) |
0.7129106639983 |
gas-drift (1) |
0.98314644608484 |
gas-drift-different-concentrations (1) |
0.9850077504514 |
har (1) |
0.96423375285056 |
hill-valley (1) |
0.5 |
ilpd (1) |
0.66390776140028 |
kr-vs-k (1) |
0.86060260622814 |
leaf (1) |
0.78544307322838 |
ldpa (1) |
0.92504017201196 |
lsvt (1) |
0.73653628117914 |
madelon (1) |
0.62318165680473 |
nomao (1) |
0.94659433600131 |
ozone-level-8hr (1) |
0.5 |
parkinsons (1) |
0.75297619047619 |
phoneme (1) |
0.8678687005272 |
planning-relax (1) |
0.5 |
one-hundred-plants-margin (1) |
0.72331340751263 |
one-hundred-plants-shape (1) |
0.73323686079545 |
one-hundred-plants-texture (1) |
0.74226236688825 |
qsar-biodeg (1) |
0.83374322868946 |
qualitative-bankruptcy (1) |
0.99268021697928 |
ringnorm (1) |
0.87628138500182 |
wall-robot-navigation (1) |
0.99587513580113 |
sa-heart (1) |
0.59604718543046 |
seeds (1) |
0.94119047619048 |
seismic-bumps (1) |
0.94255102040816 |
semeion (1) |
0.85665986354922 |
skin-segmentation (1) |
0.99895646099225 |
spoken-arabic-digit (1) |
0.51588582502521 |
steel-plates-fault (1) |
1 |
tamilnadu-electricity (1) |
1 |
thoracic-surgery (1) |
0.5 |