| kc1-numeric (1) |
|
| qqdefects_numeric (1) |
|
| nasa_numeric (1) |
|
| rsctc2010_1 (1) |
0.4952380952381 |
| rsctc2010_2 (1) |
0.4952380952381 |
| rsctc2010_3 (1) |
0.49473684210526 |
| rsctc2010_4 (1) |
0.54867256637168 |
| rsctc2010_5 (1) |
0.51685393258427 |
| rsctc2010_6 (1) |
0.42391304347826 |
| mouseType (1) |
0.4392523364486 |
| BurkittLymphoma (1) |
0.23636363636364 |
| anthracyclineTaxaneChemotherapy (1) |
0.40251572327044 |
| ovarianTumour (1) |
0.14134275618375 |
| hepatitisC (1) |
0.14134275618375 |
| variousCancers_final (1) |
0.35248041775457 |
| USCrime (1) |
|
| MercuryinBass (1) |
|
| SMSA (1) |
|
| Brainsize (1) |
|
| Acorns (1) |
|
| Cereals (1) |
0.57142857142857 |
| FacultySalaries (1) |
|
| ICU (1) |
|
| pubexpendat (1) |
|
| EgyptianSkulls (1) |
|
| PopularKids (1) |
0.47280334728033 |
| yeast_gene (1) |
|
| GCM (1) |
0.66842105263158 |
| KDDCup99_full (1) |
0.00018454888922596 |
| KDDCup09_appetency (1) |
0.0178 |
| KDDCup09_churn (1) |
0.07344 |
| KDDCup99 (1) |
0.00065179547386745 |
| KDDCup09_upselling (1) |
0.07364 |
| AP_Breast_Prostate (1) |
0.016949152542373 |
| AP_Endometrium_Breast (1) |
0.10864197530864 |
| AP_Omentum_Uterus (1) |
0.20398009950249 |
| AP_Omentum_Prostate (1) |
0.041095890410959 |
| AP_Colon_Lung (1) |
0.070388349514563 |
| AP_Breast_Omentum (1) |
0.076009501187648 |
| OVA_Breast (1) |
0.06537216828479 |
| AP_Uterus_Kidney (1) |
0.036458333333333 |
| OVA_Lung (1) |
0.026537216828479 |
| AP_Prostate_Uterus (1) |
0.031088082901554 |
| AP_Omentum_Lung (1) |
0.10344827586207 |
| AP_Endometrium_Colon (1) |
0.089337175792507 |
| OVA_Kidney (1) |
0.024595469255663 |
| AP_Colon_Prostate (1) |
0.03943661971831 |
| AP_Lung_Uterus (1) |
0.064 |
| AP_Colon_Kidney (1) |
0.042124542124542 |
| OVA_Uterus (1) |
0.080258899676375 |
| OVA_Omentum (1) |
0.049838187702265 |
| AP_Ovary_Lung (1) |
0.080246913580247 |
| AP_Endometrium_Prostate (1) |
0.092307692307692 |
| OVA_Endometrium (1) |
0.042718446601942 |
| AP_Colon_Omentum (1) |
0.10468319559229 |
| AP_Prostate_Kidney (1) |
0.030395136778116 |
| AP_Breast_Colon (1) |
0.055555555555556 |
| OVA_Prostate (1) |
0.0032362459546926 |
| AP_Omentum_Kidney (1) |
0.089020771513353 |
| AP_Breast_Uterus (1) |
0.10897435897436 |
| AP_Ovary_Kidney (1) |
0.089519650655022 |
| AP_Breast_Lung (1) |
0.061702127659574 |
| AP_Endometrium_Omentum (1) |
0.17391304347826 |
| AP_Prostate_Ovary (1) |
0.01498127340824 |
| AP_Colon_Ovary (1) |
0.11157024793388 |
| AP_Endometrium_Lung (1) |
0.11764705882353 |
| AP_Prostate_Lung (1) |
0.041025641025641 |
| AP_Omentum_Ovary (1) |
0.28727272727273 |
| AP_Endometrium_Kidney (1) |
0.090342679127726 |
| AP_Breast_Kidney (1) |
0.039735099337748 |
| AP_Endometrium_Ovary (1) |
0.18532818532819 |
| AP_Colon_Uterus (1) |
0.075609756097561 |
| OVA_Colon (1) |
0.050485436893204 |
| AP_Ovary_Uterus (1) |
0.20807453416149 |
| AP_Lung_Kidney (1) |
0.062176165803109 |
| AP_Endometrium_Uterus (1) |
0.32972972972973 |
| AP_Breast_Ovary (1) |
0.083025830258303 |
| OVA_Ovary (1) |
0.079611650485437 |
| pc1_req (1) |
0.315625 |
| airlines (1) |
0.3547924202283 |
| Goteborg_52 (1) |
|
| BNG(primary-tumor) (1) |
0.441391 |
| BNG(solar-flare) (1) |
0.016978322723765 |
| BNG(solar-flare) (1) |
0.003669 |
| BNG(spect_test) (1) |
0.075164 |
| BNG(spectf_test) (1) |
0.191404 |
| BNG(adult) (1) |
0.140242 |
| BNG(satimage) (1) |
0.156237 |
| BNG(baseball) (1) |
|
| BNG(wine) (1) |
0.053319 |
| BNG(eucalyptus) (1) |
0.398568 |
| BNG(wisconsin) (1) |
|
| BNG(cleveland) (1) |
|
| BNG(auto_price) (1) |
|
| BNG(cpu_act) (1) |
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| BNG(pbc) (1) |
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| BNG(autoHorse) (1) |
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| BNG(lowbwt) (1) |
|
| BNG(cholesterol) (1) |
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| BNG(autoPrice) (1) |
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| BNG(pharynx) (1) |
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| BNG(2dplanes) (1) |
|
| BNG(elevators) (1) |
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| BNG(echoMonths) (1) |
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| BNG(stock) (1) |
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| BNG(breastTumor) (1) |
|
| BNG(cpu_small) (1) |
|
| BNG(pwLinear) (1) |
|
| BNG(wine_quality) (1) |
|
| BNG(Australian) (1) |
0.131888 |
| BNG(satellite_image) (1) |
|
| BNG(Ailerons) (1) |
|
| BNG(libras_move) (1) |
|
| BNG(vowel) (2) |
0.270511 |
| BNG(puma32H) (1) |
|
| BNG(SPECT) (1) |
0.14674 |
| BNG(SPECTF) (1) |
0.188793 |
| BNG(mv) (1) |
|
| BNG(JapaneseVowels) (1) |
0.184772 |
| Click_prediction_small (1) |
0.044643412049391 |
| Click_prediction_small (2) |
0.044707596281718 |
| Click_prediction_small (3) |
0.1637255245543 |
| Click_prediction_small (4) |
0.16855577973476 |
| Click_prediction_small (5) |
0.17352558325824 |
| letter-challenge-unlabeled.arff (1) |
0.0971 |
| letter-challenge-labeled.arff (1) |
0.07055 |
| Click_prediction_small (7) |
0.16904891834926 |
| Click_prediction_small (6) |
0.16190716978487 |
| nki70.arff (1) |
|
| TAM_k_d (1) |
0.25096525096525 |
| eating (1) |
0.64973544973545 |
| Agrawal1 (1) |
0.052744 |
| Stagger1 (1) |
0 |
| Stagger2 (1) |
0 |
| Stagger3 (1) |
0 |
| AirlinesCodrnaAdult (1) |
0.20615254599318 |
| codrnaNorm (1) |
0.039466601168729 |
| vehicleNorm (1) |
0.15459564793764 |
| lungcancer_shedden (1) |
|
| BNG(anneal,1000,1) (1) |
0.095211 |
| BNG(anneal,1000,5) (1) |
0.162331 |
| BNG(anneal,1000,10) (1) |
0.198102 |
| BNG(anneal,5000,1) (1) |
0.041425 |
| BNG(anneal,5000,5) (1) |
0.095475 |
| BNG(anneal,5000,10) (1) |
0.11895 |
| BNG(anneal,10000,1) (1) |
0.043516 |
| BNG(anneal,10000,5) (1) |
0.069267 |
| BNG(anneal,10000,10) (1) |
0.094889 |
| BNG(anneal.ORIG,1000,1) (1) |
0.118464 |
| BNG(anneal.ORIG,1000,5) (1) |
0.167359 |
| BNG(anneal.ORIG,1000,10) (1) |
0.211176 |
| BNG(anneal.ORIG,5000,1) (1) |
0.069529 |
| BNG(anneal.ORIG,5000,5) (1) |
0.117935 |
| BNG(anneal.ORIG,5000,10) (1) |
0.1241 |
| BNG(anneal.ORIG,10000,1) (1) |
0.069341 |
| BNG(anneal.ORIG,10000,5) (1) |
0.096496 |
| BNG(anneal.ORIG,10000,10) (1) |
0.116692 |
| BNG(kr-vs-kp,1000,1) (1) |
0.319305 |
| BNG(kr-vs-kp,1000,5) (1) |
0.14518 |
| BNG(kr-vs-kp,1000,10) (1) |
0.182742 |
| BNG(kr-vs-kp,5000,1) (1) |
0.031075 |
| BNG(kr-vs-kp,5000,5) (1) |
0.049852 |
| BNG(kr-vs-kp,5000,10) (1) |
0.076517 |
| BNG(kr-vs-kp,10000,1) (1) |
0.03583 |
| BNG(kr-vs-kp,10000,5) (1) |
0.037499 |
| BNG(kr-vs-kp,10000,10) (1) |
0.049385 |
| BNG(letter,1000,1) (1) |
0.407166 |
| BNG(letter,1000,5) (1) |
0.555127 |
| BNG(letter,1000,10) (1) |
0.653856 |
| BNG(letter,5000,1) (1) |
0.358674 |
| BNG(letter,5000,5) (1) |
0.407194 |
| BNG(letter,5000,10) (1) |
0.457672 |
| BNG(letter,10000,1) (1) |
0.350663 |
| BNG(letter,10000,5) (1) |
0.381012 |
| BNG(letter,10000,10) (1) |
0.407099 |
| BNG(audiology,1000,1) (1) |
0.297742 |
| BNG(audiology,1000,5) (1) |
0.468905 |
| BNG(audiology,1000,10) (1) |
0.58335 |
| BNG(audiology,5000,1) (1) |
0.23273 |
| BNG(audiology,5000,5) (1) |
0.298138 |
| BNG(audiology,5000,10) (1) |
0.364956 |
| BNG(autos,1000,1) (1) |
0.419592 |
| BNG(autos,1000,5) (1) |
0.600878 |
| BNG(autos,1000,10) (1) |
0.655925 |
| BNG(autos,5000,1) (1) |
0.455225 |
| BNG(autos,5000,5) (1) |
0.418359 |
| BNG(autos,5000,10) (1) |
0.506175 |
| BNG(autos,10000,1) (1) |
0.445994 |
| BNG(autos,10000,5) (1) |
0.361726 |
| BNG(autos,10000,10) (1) |
0.418031 |
| BNG(lymph,1000,1) (1) |
0.2739 |
| BNG(lymph,1000,5) (1) |
0.414864 |
| BNG(lymph,1000,10) (1) |
0.451799 |
| BNG(lymph,5000,1) (1) |
0.125891 |
| BNG(lymph,5000,5) (1) |
0.271571 |
| BNG(lymph,5000,10) (1) |
0.345569 |
| BNG(lymph,10000,1) (1) |
0.098466 |
| BNG(lymph,10000,5) (1) |
0.20022 |
| BNG(lymph,10000,10) (1) |
0.27216 |
| lungcancer_GSE31210 (1) |
0.14601769911504 |
| MyIris (1) |
0.073333333333333 |
| Kaggle_bike_sharing_demand_challange (1) |
|
| physionet_asystole (1) |
0.15 |
| physionet_bradycardia (1) |
0.16666666666667 |
| physionet_tachycardia (1) |
0.064748201438849 |
| contact-lenses (1) |
|
| cpu.with.vendor (1) |
|
| a1a (1) |
|
| a2a (1) |
|
| a3a (1) |
|
| a4a (1) |
|
| a5a (1) |
|
| a6a (1) |
|
| a7a (1) |
|
| a8a (1) |
|
| a9a (1) |
|
| colon-cancer (1) |
|
| svmguide1 (1) |
|
| duke-breast-cancer (1) |
|
| fourclass (1) |
|
| german.numer (1) |
|
| iris-test (1) |
0.04 |
| AccelerometerData (1) |
|
| KungChi3 (1) |
0.13008130081301 |
| MegaWatt1 (1) |
0.13833992094862 |
| PizzaCutter1 (1) |
0.078668683812405 |
| PizzaCutter3 (1) |
0.1313518696069 |
| CostaMadre1 (2) |
0.12837837837838 |
| CastMetal1 (1) |
0.12844036697248 |
| KnuggetChase3 (1) |
0.18556701030928 |
| MeanWhile1 (1) |
0.13833992094862 |
| MindCave2 (1) |
0.376 |
| PieChart1 (1) |
0.082269503546099 |
| PieChart2 (1) |
0.021476510067114 |
| PieChart3 (1) |
0.14206128133705 |
| PieChart4 (1) |
0.1076817558299 |
| acute-inflammations (1) |
0.05 |
| appendicitis (1) |
|
| amazon-commerce-reviews (1) |
0.81333333333333 |
| arcene (1) |
0.355 |
| artificial-characters (1) |
0.35398316696027 |
| banana (1) |
0.11735849056604 |
| bank-marketing (1) |
0.10238658733494 |
| banknote-authentication (1) |
0.11443148688047 |
| blogger (1) |
0.33 |
| blood-transfusion-service-center (1) |
0.2379679144385 |
| breast-tissue (1) |
0.68867924528302 |
| cardiotocography (1) |
0.0051740357478833 |
| climate-model-simulation-crashes (1) |
0.085185185185185 |
| cnae-9 (1) |
0.22962962962963 |
| QSAR-TID-11279 (1) |
|
| QSAR-TID-17121 (1) |
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| QSAR-TID-100414 (1) |
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| QSAR-TID-20110 (1) |
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| QSAR-TID-10297 (1) |
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| QSAR-TID-101090 (1) |
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| QSAR-TID-10627 (1) |
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| QSAR-TID-11567 (1) |
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| QSAR-TID-100417 (1) |
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| QSAR-TID-11010 (1) |
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| QSAR-TID-11925 (1) |
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| QSAR-TID-100855 (1) |
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| QSAR-TID-10187 (1) |
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| QSAR-TID-9 (1) |
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| QSAR-TID-10904 (1) |
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| QSAR-TID-11766 (1) |
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| QSAR-TID-11637 (1) |
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| QSAR-TID-11718 (1) |
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| QSAR-TID-101030 (1) |
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| QSAR-TID-101056 (1) |
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| QSAR-TID-11150 (1) |
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| QSAR-TID-10578 (1) |
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| QSAR-TID-101034 (1) |
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| QSAR-TID-102669 (1) |
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| QSAR-TID-35 (1) |
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| QSAR-TID-10495 (1) |
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| QSAR-TID-10315 (1) |
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| QSAR-TID-100143 (1) |
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| QSAR-TID-12471 (1) |
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| QSAR-TID-261 (1) |
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| QSAR-TID-10907 (1) |
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| QSAR-TID-17000 (1) |
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| QSAR-TID-12965 (1) |
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| QSAR-TID-12854 (1) |
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| QSAR-TID-12406 (1) |
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| QSAR-TID-103800 (1) |
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| QSAR-TID-12038 (1) |
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| QSAR-TID-11806 (1) |
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| QSAR-TID-10062 (1) |
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| QSAR-TID-101408 (1) |
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| QSAR-TID-100435 (1) |
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| QSAR-TID-30041 (1) |
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| QSAR-TID-243 (1) |
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| QSAR-TID-10620 (1) |
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| QSAR-TID-12694 (1) |
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| QSAR-TID-10443 (1) |
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| QSAR-TID-114 (1) |
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| QSAR-TID-10197 (1) |
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| QSAR-TID-12568 (1) |
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| QSAR-TID-12135 (1) |
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| QSAR-TID-10796 (1) |
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| QSAR-TID-130 (1) |
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| QSAR-TID-11239 (1) |
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| QSAR-TID-100129 (1) |
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| QSAR-TID-11126 (1) |
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| QSAR-TID-184 (1) |
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| QSAR-TID-11094 (1) |
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| QSAR-TID-10472 (1) |
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| QSAR-TID-10692 (1) |
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| QSAR-TID-12742 (1) |
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| QSAR-TID-10183 (1) |
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| QSAR-TID-12171 (1) |
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| QSAR-TID-10545 (1) |
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| QSAR-TID-10493 (1) |
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| QSAR-TID-12724 (1) |
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| QSAR-TID-101434 (1) |
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| QSAR-TID-11871 (1) |
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| QSAR-TID-101033 (1) |
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| QSAR-TID-101278 (1) |
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| QSAR-TID-102826 (1) |
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| QSAR-TID-194 (1) |
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| QSAR-TID-12104 (1) |
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| QSAR-TID-10320 (1) |
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| QSAR-TID-10797 (1) |
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| QSAR-TID-101073 (1) |
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| QSAR-TID-10207 (1) |
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| QSAR-TID-51 (1) |
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| QSAR-TID-10230 (1) |
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| QSAR-TID-11430 (1) |
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| QSAR-TID-106 (1) |
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| QSAR-TID-100042 (1) |
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| QSAR-TID-102718 (1) |
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| QSAR-TID-102711 (1) |
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| QSAR-TID-100075 (1) |
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| QSAR-TID-48 (1) |
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| QSAR-TID-100995 (1) |
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| QSAR-TID-17147 (1) |
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| QSAR-TID-101058 (1) |
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| QSAR-TID-163 (1) |
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| QSAR-TID-10426 (1) |
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| QSAR-TID-10926 (1) |
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| QSAR-TID-215 (1) |
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| QSAR-TID-12268 (1) |
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| QSAR-TID-103453 (1) |
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| QSAR-TID-11575 (1) |
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| QSAR-TID-12708 (1) |
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| QSAR-TID-11110 (1) |
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| QSAR-TID-12244 (1) |
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| QSAR-TID-12983 (1) |
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| QSAR-TID-11225 (1) |
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| QSAR-TID-100863 (1) |
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| QSAR-TID-10625 (1) |
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| QSAR-TID-30027 (1) |
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| QSAR-TID-10142 (1) |
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| QSAR-TID-11361 (1) |
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| QSAR-TID-17085 (1) |
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| QSAR-TID-11907 (1) |
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| QSAR-TID-10277 (1) |
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| QSAR-TID-11296 (1) |
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| QSAR-TID-17086 (1) |
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| QSAR-TID-10402 (1) |
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| QSAR-TID-101504 (1) |
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| QSAR-TID-30047 (1) |
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| QSAR-TID-11054 (1) |
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| QSAR-TID-11499 (1) |
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| QSAR-TID-11064 (1) |
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| QSAR-TID-11286 (1) |
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| QSAR-TID-17024 (1) |
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| QSAR-TID-30014 (1) |
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| QSAR-TID-20162 (1) |
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| QSAR-TID-100097 (1) |
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| QSAR-TID-12536 (1) |
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| QSAR-TID-103458 (1) |
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| QSAR-TID-100862 (1) |
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| QSAR-TID-259 (1) |
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| QSAR-TID-12955 (1) |
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| QSAR-TID-101225 (1) |
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| QSAR-TID-11727 (1) |
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| QSAR-TID-282 (1) |
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| QSAR-TID-218 (1) |
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| QSAR-TID-11379 (1) |
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| QSAR-TID-10264 (1) |
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| QSAR-TID-30009 (1) |
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| QSAR-TID-11168 (1) |
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| QSAR-TID-10654 (1) |
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| QSAR-TID-277 (1) |
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| QSAR-TID-10547 (1) |
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| QSAR-TID-11634 (1) |
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| QSAR-TID-10364 (1) |
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| QSAR-TID-11602 (1) |
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| QSAR-TID-11287 (1) |
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| QSAR-TID-10844 (1) |
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| QSAR-TID-245 (1) |
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| QSAR-TID-10695 (1) |
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| QSAR-TID-100907 (1) |
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| QSAR-TID-10528 (1) |
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| QSAR-TID-11066 (1) |
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| QSAR-TID-100990 (1) |
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| QSAR-TID-101180 (1) |
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| QSAR-TID-100796 (1) |
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| QSAR-TID-10950 (1) |
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| QSAR-TID-30030 (1) |
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| QSAR-TID-17023 (1) |
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| QSAR-TID-11891 (1) |
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| QSAR-TID-10434 (1) |
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| QSAR-TID-10773 (1) |
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| QSAR-TID-11261 (1) |
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| QSAR-TID-12699 (1) |
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| QSAR-TID-103106 (1) |
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| QSAR-TID-11636 (1) |
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| QSAR-TID-100949 (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) |
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| QSAR-TID-10647 (1) |
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| QSAR-TID-100914 (1) |
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| QSAR-TID-100909 (1) |
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| QSAR-TID-20105 (1) |
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| QSAR-TID-10355 (1) |
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| QSAR-TID-30028 (1) |
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| QSAR-TID-101069 (1) |
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| QSAR-TID-102849 (1) |
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| QSAR-TID-11802 (1) |
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| QSAR-TID-100410 (1) |
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| 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) |
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| kdd_internet_usage (2) |
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| Bioresponse (1) |
0.25459877366036 |
| Amazon_employee_access (1) |
0.057890079038115 |
| Dexter (1) |
0.3 |
| 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) |
0.11111111111111 |
| CreditCardSubset (1) |
0.0011938202247191 |
| thoracic_surgery (1) |
0.14893617021277 |
| Engine1 (1) |
0.13054830287206 |
| 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) |
0.087381275440977 |
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| GesturePhaseSegmentationProcessed (1) |
0.50015192950471 |
| ParkinsonSpeechDatasetwithMultipleTypesofSoundRecordings (1) |
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| Diabetes130US (1) |
0.47050095316707 |
| 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) |
0.6 |
| codrna (1) |
0.03890372826543 |
| poker (1) |
0.27763826694374 |
| chembl1075021test1 (1) |
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| internet_usage (1) |
0.71527502967946 |
| 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) |
0.12621359223301 |
| oh15.wc (1) |
0.40087623220153 |
| new3s.wc (1) |
0.36032642812304 |
| la2s.wc (1) |
0.50081300813008 |
| oh5.wc (1) |
0.22113289760349 |
| re1.wc (1) |
0.27761013880507 |
| la1s.wc (1) |
0.2687265917603 |
| wap.wc (1) |
0.40128205128205 |
| ohscal.wc (1) |
0.30738218957176 |
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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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| carbolenes (1) |
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| Phen (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) |
0.14 |
| analcatdata_birthday (1) |
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| analcatdata_draft (1) |
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| cjs (1) |
0 |
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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) |
0.13885471099981 |
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| analcatdata_negotiation (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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| wind (1) |
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| analcatdata_supreme (1) |
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| tecator (1) |
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| places (1) |
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| sleep (2) |
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| balloon (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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| detroit (2) |
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| kidney (1) |
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| analcatdata_apnea3 (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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| fri_c0_250_5 (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_c2_100_50 (1) |
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| fri_c1_500_5 (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) |
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| fri_c1_100_5 (1) |
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| fri_c2_250_10 (1) |
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| fri_c3_250_25 (1) |
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| 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) |
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| rabe_148 (1) |
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| visualizing_ethanol (1) |
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| chscase_geyser1 (1) |
|
| BNG(anneal,nominal,1000000) (1) |
0.04126 |
| BNG(anneal.ORIG,nominal,1000000) (1) |
0.11984 |
| BNG(kr-vs-kp) (1) |
0.25543 |
| BNG(labor,nominal,1000000) (1) |
0.036843 |
| BNG(letter,nominal,1000000) (1) |
0.821241 |
| BNG(autos,nominal,1000000) (1) |
0.21843 |
| BNG(lymph,nominal,1000000) (1) |
0.091991 |
| BNG(breast-cancer,nominal,1000000) (1) |
0.218453 |
| BNG(mfeat-fourier,nominal,1000000) (1) |
0.161914 |
| BNG(mfeat-karhunen,nominal,1000000) (1) |
0.578793 |
| BNG(bridges_version1,nominal,1000000) (1) |
0.293833 |
| BNG(bridges_version2,nominal,1000000) (1) |
0.287019 |
| BNG(mfeat-zernike,nominal,1000000) (1) |
0.222026 |
| BNG(mushroom) (1) |
0.01052 |
| BNG(colic.ORIG,nominal,1000000) (1) |
0.221321 |
| BNG(colic,nominal,1000000) (1) |
0.106902 |
| BNG(optdigits) (1) |
0.111008 |
| BNG(credit-a,nominal,1000000) (1) |
0.115108 |
| BNG(page-blocks,nominal,295245) (1) |
0.080932784636488 |
| BNG(credit-g,nominal,1000000) (1) |
0.223916 |
| BNG(pendigits,nominal,1000000) (1) |
0.081038 |
| BNG(cylinder-bands,nominal,1000000) (1) |
0.226618 |
| BNG(dermatology,nominal,1000000) (1) |
0.02779 |
| BNG(segment) (1) |
0.125349 |
| BNG(sick,nominal,1000000) (1) |
0.059149 |
| BNG(sonar,nominal,1000000) (1) |
0.131991 |
| BNG(glass,nominal,137781) (1) |
0.31167577532461 |
| BNG(soybean) (1) |
0.105958 |
| BNG(spambase) (1) |
0.333302 |
| BNG(heart-c,nominal,1000000) (1) |
0.120175 |
| BNG(heart-h,nominal,1000000) (1) |
0.127795 |
| BNG(trains) (1) |
0.062003 |
| BNG(heart-statlog,nominal,1000000) (1) |
0.108868 |
| BNG(vehicle,nominal,1000000) (1) |
0.296877 |
| BNG(hepatitis,nominal,1000000) (1) |
0.069904 |
| BNG(vote) (1) |
0.0296630859375 |
| BNG(hypothyroid,nominal,1000000) (1) |
0.073109 |
| BNG(vowel,nominal,1000000) (1) |
0.24404 |
| BNG(ionosphere) (1) |
0.136257 |
| BNG(waveform-5000,nominal,1000000) (1) |
0.165115 |
| BNG(zoo,nominal,1000000) (1) |
0.067083 |
| CovPokElec (1) |
0.043123958709057 |
| covertype (3) |
0.093603918679821 |
| Hyperplane_10_1E-3 (1) |
0.333616 |
| Hyperplane_10_1E-4 (1) |
0.152436 |
| LED(50000) (1) |
0.389818 |
| pokerhand (1) |
0.012503602865891 |
| RandomRBF_0_0 (1) |
0.108107 |
| RandomRBF_10_1E-3 (1) |
0.189802 |
| RandomRBF_10_1E-4 (1) |
0.156242 |
| RandomRBF_50_1E-3 (1) |
0.699904 |
| RandomRBF_50_1E-4 (1) |
0.440822 |
| SEA(50) (1) |
0.153117 |
| SEA(50000) (1) |
0.152357 |
| monks-problems-1_test (1) |
0.06712962962963 |
| monks-problems-1_train (1) |
0.25806451612903 |
| monks-problems-2_test (1) |
0.3287037037037 |
| monks-problems-2_train (1) |
0.51479289940828 |
| monks-problems-3_test (1) |
0 |
| monks-problems-3_train (1) |
0.065573770491803 |
| spect_test (1) |
0.080213903743316 |
| spect_train (1) |
0.3375 |
| spectf_test (1) |
0.20446096654275 |
| spectf_train (1) |
0.3125 |
| covertype (1) |
0.22140896614822 |
| kin8nm (1) |
|
| mbagrade (1) |
|
| wisconsin (1) |
|
| vineyard (1) |
|
| bolts (1) |
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| cleveland (1) |
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| auto_price (1) |
|
| autoMpg (1) |
|
| cpu_act (1) |
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| delta_elevators (1) |
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| fruitfly (1) |
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| pbc (1) |
|
| pol (1) |
|
| lowbwt (1) |
|
| cholesterol (1) |
|
| sleep (1) |
|
| triazines (1) |
|
| autoPrice (1) |
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| detroit (1) |
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| quake (1) |
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| cloud (1) |
|
| longley (1) |
|
| diabetes_numeric (1) |
|
| pharynx (1) |
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| baskball (1) |
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| 2dplanes (1) |
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| elevators (1) |
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| pyrim (1) |
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| house_8L (1) |
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| echoMonths (1) |
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| stock (1) |
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| breastTumor (1) |
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| puma8NH (1) |
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| gascons (1) |
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| cpu_small (1) |
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| elusage (1) |
|
| pwLinear (1) |
|
| machine_cpu (1) |
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| hungarian (1) |
|
| fishcatch (1) |
|
| BNG(anneal) (1) |
0.034009 |
| BNG(anneal.ORIG) (2) |
0.103254 |
| BNG(labor) (2) |
0.044215 |
| BNG(letter) (2) |
0.341666 |
| BNG(autos) (1) |
0.301748 |
| BNG(lymph) (1) |
0.089084 |
| BNG(mfeat-fourier) (1) |
0.186312 |
| BNG(mfeat-karhunen) (1) |
0.12548 |
| BNG(bridges_version1) (1) |
0.283543 |
| BNG(mfeat-zernike) (1) |
0.271281 |
| BNG(colic.ORIG) (1) |
0.143949 |
| BNG(colic) (1) |
0.111603 |
| BNG(credit-a) (1) |
0.11094 |
| BNG(page-blocks) (1) |
0.062761435418043 |
| BNG(credit-g) (1) |
0.225973 |
| BNG(pendigits) (1) |
0.116704 |
| BNG(cylinder-bands) (1) |
0.228646 |
| BNG(dermatology) (1) |
0.027394 |
| BNG(sonar) (1) |
0.175226 |
| BNG(glass) (1) |
0.27587258039933 |
| BNG(heart-c) (1) |
0.110231 |
| BNG(heart-statlog) (1) |
0.108511 |
| BNG(vehicle) (1) |
0.281024 |
| BNG(hepatitis) (1) |
0.076633 |
| BNG(vowel) (1) |
0.270053 |
| BNG(waveform-5000) (1) |
0.137468 |
| BNG(zoo) (1) |
0.063402 |
| IMDB.drama (1) |
0.36899908203012 |
| 20_newsgroups.drift (1) |
|
| wine_quality (1) |
|
| covertype (2) |
0.077526798069575 |
| satellite_image (1) |
|
| Ailerons (1) |
|
| coil2000 (1) |
|
| libras_move (1) |
|
| ozone_level (1) |
|
| puma32H (1) |
|
| us_crime (1) |
|
| bridges (3) |
0.61904761904762 |
| bridges (4) |
0.61904761904762 |
| liver-disorders (1) |
|
| bridges (1) |
0.58095238095238 |
| bridges (2) |
0.58095238095238 |
| hayes-roth_test (1) |
0.60714285714286 |
| hayes-roth_train (1) |
0.43939393939394 |
| vowel (1) |
0.63939393939394 |
| cloud (2) |
0.22222222222222 |
| vowel (3) |
0.036363636363636 |
| cjs (2) |
0 |
| ESL (1) |
|
| SWD (1) |
|
| LEV (1) |
|
| ERA (1) |
|
| ESL (2) |
|
| ada_prior (1) |
0.17821131082858 |
| hiva_agnostic (1) |
0.03523291558288 |
| gina_prior (1) |
0.15080738177624 |
| usp05 (1) |
0.33990147783251 |
| cocomo_numeric (1) |
|
| humans_numeric (1) |
|
| dresses-sales (1) |
0.454 |
| eeg-eye-state (1) |
0.19072096128171 |
| energy-efficiency (1) |
0.44140625 |
| fertility (1) |
0.12 |
| first-order-theorem-proving (1) |
0.50523046747303 |
| gas-drift (1) |
0.041552839683681 |
| gas-drift-different-concentrations (1) |
0.040690150970525 |
| har (1) |
0.079522283716866 |
| hill-valley (1) |
0.47194719471947 |
| ilpd (1) |
0.30360205831904 |
| kr-vs-k (1) |
0.48663387510693 |
| leaf (1) |
0.55588235294118 |
| ldpa (1) |
0.20243236685673 |
| lsvt (1) |
0.25396825396825 |
| madelon (1) |
0.30346153846154 |
| nomao (1) |
0.052662120992311 |
| ozone-level-8hr (1) |
0.063141278610892 |
| parkinsons (1) |
0.17435897435897 |
| phoneme (1) |
0.1659881569208 |
| planning-relax (1) |
0.28571428571429 |
| one-hundred-plants-margin (1) |
0.663125 |
| one-hundred-plants-shape (1) |
0.679375 |
| one-hundred-plants-texture (1) |
0.65540963101939 |
| qsar-biodeg (1) |
0.18672985781991 |
| qualitative-bankruptcy (1) |
0.016 |
| ringnorm (1) |
0.13851351351351 |
| wall-robot-navigation (1) |
0.0098973607038123 |
| sa-heart (1) |
0.31385281385281 |
| seeds (1) |
0.1 |
| seismic-bumps (1) |
0.11428571428571 |
| semeion (1) |
0.33584431889517 |
| skin-segmentation (1) |
0.0012323663474212 |
| spoken-arabic-digit (1) |
0.88565122922175 |
| steel-plates-fault (1) |
0 |
| tamilnadu-electricity (1) |
0 |
| thoracic-surgery (1) |
0.14893617021277 |