| 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) |
0.13038281817292 |
| 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) |
0.029223010018527 |
| yeast_gene (1) |
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| GCM (1) |
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| KDDCup99_full (1) |
0.50484305132286 |
| KDDCup09_appetency (1) |
0.0086223831434876 |
| KDDCup09_churn (1) |
0.019307252903823 |
| KDDCup99 (1) |
0.51128243775429 |
| KDDCup09_upselling (1) |
0.023052529036619 |
| 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_Breast_Omentum (1) |
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| OVA_Breast (1) |
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| AP_Uterus_Kidney (1) |
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| OVA_Lung (1) |
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| AP_Prostate_Uterus (1) |
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| AP_Omentum_Lung (1) |
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| AP_Endometrium_Colon (1) |
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| OVA_Kidney (1) |
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| AP_Colon_Prostate (1) |
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| AP_Lung_Uterus (1) |
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| AP_Colon_Kidney (1) |
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| OVA_Uterus (1) |
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| OVA_Omentum (1) |
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| OVA_Endometrium (1) |
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| AP_Colon_Omentum (1) |
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| AP_Prostate_Kidney (1) |
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| AP_Breast_Colon (1) |
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| OVA_Prostate (1) |
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| AP_Omentum_Kidney (1) |
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| AP_Breast_Uterus (1) |
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| AP_Ovary_Kidney (1) |
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| AP_Breast_Lung (1) |
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| AP_Endometrium_Omentum (1) |
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| AP_Prostate_Ovary (1) |
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| AP_Colon_Ovary (1) |
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| AP_Endometrium_Lung (1) |
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| AP_Prostate_Lung (1) |
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| AP_Omentum_Ovary (1) |
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| AP_Endometrium_Kidney (1) |
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| AP_Breast_Kidney (1) |
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| AP_Endometrium_Ovary (1) |
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| AP_Colon_Uterus (1) |
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| OVA_Colon (1) |
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| AP_Ovary_Uterus (1) |
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| AP_Lung_Kidney (1) |
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| AP_Endometrium_Uterus (1) |
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| AP_Breast_Ovary (1) |
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| OVA_Ovary (1) |
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| pc1_req (1) |
0.00183873961996 |
| airlines (1) |
0.02442666473087 |
| Goteborg_52 (1) |
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| BNG(primary-tumor) (1) |
0.12322304976656 |
| BNG(solar-flare) (1) |
0.010307790364999 |
| BNG(solar-flare) (1) |
0.0061628450884175 |
| BNG(spect_test) (1) |
0.0057090400161709 |
| BNG(spectf_test) (1) |
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| BNG(adult) (1) |
0.062836844585403 |
| BNG(satimage) (1) |
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| BNG(baseball) (1) |
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| BNG(wine) (1) |
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| BNG(eucalyptus) (1) |
0.20625847887458 |
| BNG(wisconsin) (1) |
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| BNG(cleveland) (1) |
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| BNG(auto_price) (1) |
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| 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) |
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| BNG(cholesterol) (1) |
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| BNG(autoPrice) (1) |
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| BNG(pharynx) (1) |
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| BNG(2dplanes) (1) |
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| BNG(elevators) (1) |
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| BNG(echoMonths) (1) |
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| BNG(stock) (1) |
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| BNG(breastTumor) (1) |
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| BNG(cpu_small) (1) |
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| BNG(pwLinear) (1) |
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| BNG(wine_quality) (1) |
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| BNG(Australian) (1) |
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| BNG(satellite_image) (1) |
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| BNG(Ailerons) (1) |
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| BNG(libras_move) (1) |
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| BNG(vowel) (2) |
5.916066292E-5 |
| BNG(puma32H) (1) |
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| BNG(SPECT) (1) |
0.017342076152516 |
| BNG(SPECTF) (1) |
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| BNG(mv) (1) |
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| BNG(JapaneseVowels) (1) |
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| Click_prediction_small (1) |
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| Click_prediction_small (2) |
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| Click_prediction_small (3) |
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| Click_prediction_small (4) |
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| Click_prediction_small (5) |
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| letter-challenge-unlabeled.arff (1) |
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| letter-challenge-labeled.arff (1) |
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| Click_prediction_small (7) |
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| Click_prediction_small (6) |
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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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| Agrawal1 (1) |
5.66279134E-6 |
| Stagger1 (1) |
0.13202497285638 |
| Stagger2 (1) |
0.25235383111932 |
| Stagger3 (1) |
0.30617975214092 |
| AirlinesCodrnaAdult (1) |
0.015114042309148 |
| codrnaNorm (1) |
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| vehicleNorm (1) |
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| lungcancer_shedden (1) |
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| BNG(anneal,1000,1) (1) |
0.024597809172151 |
| BNG(anneal,1000,5) (1) |
0.0065762518780687 |
| BNG(anneal,1000,10) (1) |
0.0037566296954541 |
| BNG(anneal,5000,1) (1) |
0.066380059712371 |
| BNG(anneal,5000,5) (1) |
0.024651066184672 |
| BNG(anneal,5000,10) (1) |
0.016746325509559 |
| BNG(anneal,10000,1) (1) |
0.063699139571438 |
| BNG(anneal,10000,5) (1) |
0.040312976235348 |
| BNG(anneal,10000,10) (1) |
0.024761275390653 |
| BNG(anneal.ORIG,1000,1) (1) |
0.012917919656985 |
| BNG(anneal.ORIG,1000,5) (1) |
0.00580984616993 |
| BNG(anneal.ORIG,1000,10) (1) |
0.0021739341134913 |
| BNG(anneal.ORIG,5000,1) (1) |
0.02767128737033 |
| BNG(anneal.ORIG,5000,5) (1) |
0.01289357624824 |
| BNG(anneal.ORIG,5000,10) (1) |
0.0118291334768 |
| BNG(anneal.ORIG,10000,1) (1) |
0.024173425641306 |
| BNG(anneal.ORIG,10000,5) (1) |
0.022566399853389 |
| BNG(anneal.ORIG,10000,10) (1) |
0.012958157391267 |
| BNG(kr-vs-kp,1000,1) (1) |
0.013327544251848 |
| BNG(kr-vs-kp,1000,5) (1) |
0.0034743855492758 |
| BNG(kr-vs-kp,1000,10) (1) |
0.0019752033317439 |
| BNG(kr-vs-kp,5000,1) (1) |
0.017021202656319 |
| BNG(kr-vs-kp,5000,5) (1) |
0.013311031972138 |
| BNG(kr-vs-kp,5000,10) (1) |
0.0075714300677383 |
| BNG(kr-vs-kp,10000,1) (1) |
0.016354900470716 |
| BNG(kr-vs-kp,10000,5) (1) |
0.016435692482776 |
| BNG(kr-vs-kp,10000,10) (1) |
0.013309155306909 |
| BNG(letter,1000,1) (1) |
|
| 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) |
0.067597838651397 |
| BNG(audiology,1000,5) (1) |
0.029455392445787 |
| BNG(audiology,1000,10) (1) |
0.016693368887889 |
| BNG(audiology,5000,1) (1) |
0.092769312659398 |
| BNG(audiology,5000,5) (1) |
0.067591660017668 |
| BNG(audiology,5000,10) (1) |
0.048604078360499 |
| BNG(autos,1000,1) (1) |
0.055390099954569 |
| BNG(autos,1000,5) (1) |
0.012979385074088 |
| BNG(autos,1000,10) (1) |
0.005799622975912 |
| BNG(autos,5000,1) (1) |
0.12170481778418 |
| BNG(autos,5000,5) (1) |
0.055686347928082 |
| BNG(autos,5000,10) (1) |
0.031254400459838 |
| BNG(autos,10000,1) (1) |
0.13328691189191 |
| BNG(autos,10000,5) (1) |
0.080570398253627 |
| BNG(autos,10000,10) (1) |
0.055572479737246 |
| BNG(lymph,1000,1) (1) |
0.0095216052189993 |
| BNG(lymph,1000,5) (1) |
0.0025205220022273 |
| BNG(lymph,1000,10) (1) |
0.0011117277285707 |
| BNG(lymph,5000,1) (1) |
0.043575125079995 |
| BNG(lymph,5000,5) (1) |
0.0096219061714967 |
| BNG(lymph,5000,10) (1) |
0.0044379638160573 |
| BNG(lymph,10000,1) (1) |
0.055984027506499 |
| BNG(lymph,10000,5) (1) |
0.012162085333661 |
| BNG(lymph,10000,10) (1) |
0.0092937495463187 |
| lungcancer_GSE31210 (1) |
0.00162295068034 |
| 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) |
1.3719395098078 |
| AccelerometerData (1) |
0 |
| KungChi3 (1) |
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| MegaWatt1 (1) |
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| PizzaCutter1 (1) |
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| PizzaCutter3 (1) |
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| CostaMadre1 (2) |
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| CastMetal1 (1) |
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| KnuggetChase3 (1) |
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| MeanWhile1 (1) |
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| MindCave2 (1) |
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| PieChart1 (1) |
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| PieChart2 (1) |
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| PieChart3 (1) |
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| PieChart4 (1) |
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| acute-inflammations (1) |
0.19919653898967 |
| 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) |
0.014894643445402 |
| banknote-authentication (1) |
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| blogger (1) |
0.04914302979237 |
| 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-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-48 (1) |
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| QSAR-TID-17147 (1) |
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| QSAR-TID-12708 (1) |
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| QSAR-TID-11110 (1) |
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| QSAR-TID-17085 (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-11499 (1) |
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| QSAR-TID-277 (1) |
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| QSAR-TID-10547 (1) |
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| QSAR-TID-10364 (1) |
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| QSAR-TID-10844 (1) |
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| QSAR-TID-10695 (1) |
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| QSAR-TID-10950 (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) |
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| Amazon_employee_access (1) |
0.055783297827786 |
| Dexter (1) |
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| Dorothea (1) |
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| 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) |
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| CreditCardSubset (1) |
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| thoracic_surgery (1) |
0.0069649196617292 |
| Engine1 (1) |
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| 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) |
0.051980887227904 |
| Census-Income (1) |
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| GesturePhaseSegmentationProcessed (1) |
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| ParkinsonSpeechDatasetwithMultipleTypesofSoundRecordings (1) |
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| Diabetes130US (1) |
0.0035467794204933 |
| 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 |
| codrna (1) |
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| poker (1) |
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| chembl1075021test1 (1) |
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| internet_usage (1) |
0.14564182721139 |
| 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) |
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| qsabr1 (1) |
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| qsbr_rw1 (1) |
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| prnn_crabs (1) |
0 |
| analcatdata_birthday (1) |
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| analcatdata_draft (1) |
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| cjs (1) |
1.2875792407773 |
| arsenic-male-bladder (1) |
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| iq_brain_size (1) |
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| dj30-1985-2003 (1) |
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| veteran (1) |
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| analcatdata_runshoes (1) |
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| wind (1) |
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| places (1) |
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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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| 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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| fried (1) |
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| kdd_coil_1 (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_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) |
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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) |
|
| 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) |
|
| chscase_census2 (1) |
|
| 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) |
|
| chscase_funds (1) |
|
| 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) |
|
| chscase_vine2 (1) |
|
| visualizing_galaxy (1) |
|
| chscase_vine1 (1) |
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| rabe_131 (1) |
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| diggle_table_a1 (1) |
|
| chatfield_4 (1) |
|
| 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) |
0.060208478274192 |
| BNG(anneal.ORIG,nominal,1000000) (1) |
0.025236308479424 |
| BNG(kr-vs-kp) (1) |
0.016516106132353 |
| BNG(labor,nominal,1000000) (1) |
0.085835261026888 |
| BNG(letter,nominal,1000000) (1) |
0.17259557657245 |
| BNG(autos,nominal,1000000) (1) |
0.10434424822602 |
| BNG(lymph,nominal,1000000) (1) |
0.087438558443016 |
| BNG(breast-cancer,nominal,1000000) (1) |
0.030968944119288 |
| BNG(mfeat-fourier,nominal,1000000) (1) |
0.15186190986235 |
| BNG(mfeat-karhunen,nominal,1000000) (1) |
0.14900149843368 |
| BNG(bridges_version1,nominal,1000000) (1) |
0.21582105435179 |
| BNG(bridges_version2,nominal,1000000) (1) |
0.22067328214133 |
| BNG(mfeat-zernike,nominal,1000000) (1) |
0.22249985622439 |
| BNG(mushroom) (1) |
0.16384931710243 |
| BNG(colic.ORIG,nominal,1000000) (1) |
0.020939415487012 |
| BNG(colic,nominal,1000000) (1) |
0.046253517123782 |
| BNG(optdigits) (1) |
0.18082145336599 |
| BNG(credit-a,nominal,1000000) (1) |
0.055399709187555 |
| BNG(page-blocks,nominal,295245) (1) |
0.030798397979045 |
| BNG(credit-g,nominal,1000000) (1) |
0.01522996707778 |
| BNG(pendigits,nominal,1000000) (1) |
0.4197194712708 |
| BNG(cylinder-bands,nominal,1000000) (1) |
0.020007301450657 |
| BNG(dermatology,nominal,1000000) (1) |
0.36669945919136 |
| BNG(segment) (1) |
0.41770563045114 |
| BNG(sick,nominal,1000000) (1) |
0.0041244525973124 |
| BNG(sonar,nominal,1000000) (1) |
0.022167884018626 |
| BNG(glass,nominal,137781) (1) |
0.13719254405996 |
| BNG(soybean) (1) |
0.33992010535136 |
| BNG(spambase) (1) |
0.0027491665154321 |
| BNG(heart-c,nominal,1000000) (1) |
0.085242182666547 |
| BNG(heart-h,nominal,1000000) (1) |
0.066636581900095 |
| BNG(trains) (1) |
0.031208126864516 |
| BNG(heart-statlog,nominal,1000000) (1) |
0.080574559504273 |
| BNG(vehicle,nominal,1000000) (1) |
0.11666013338341 |
| BNG(hepatitis,nominal,1000000) (1) |
0.046756508177821 |
| BNG(vote) (1) |
0.23363066063489 |
| BNG(hypothyroid,nominal,1000000) (1) |
0.002961511184279 |
| BNG(vowel,nominal,1000000) (1) |
0.11795738073388 |
| BNG(ionosphere) (1) |
0.06671199780214 |
| BNG(waveform-5000,nominal,1000000) (1) |
0.073202803754623 |
| BNG(zoo,nominal,1000000) (1) |
0.38660877119738 |
| CovPokElec (1) |
0.010851377129816 |
| covertype (3) |
0.021680848999333 |
| Hyperplane_10_1E-3 (1) |
|
| Hyperplane_10_1E-4 (1) |
|
| LED(50000) (1) |
0.06932414561098 |
| pokerhand (1) |
0.00831988015339 |
| RandomRBF_0_0 (1) |
|
| RandomRBF_10_1E-3 (1) |
|
| RandomRBF_10_1E-4 (1) |
|
| RandomRBF_50_1E-3 (1) |
|
| RandomRBF_50_1E-4 (1) |
|
| SEA(50) (1) |
|
| SEA(50000) (1) |
|
| monks-problems-1_test (1) |
0.051879687409855 |
| monks-problems-1_train (1) |
0.066653142354642 |
| monks-problems-2_test (1) |
0.0032639472866317 |
| monks-problems-2_train (1) |
0.0077433117044867 |
| monks-problems-3_test (1) |
0.1118396256652 |
| monks-problems-3_train (1) |
0.094594787321912 |
| spect_test (1) |
0.020323199043162 |
| spect_train (1) |
0.06224369429745 |
| spectf_test (1) |
|
| spectf_train (1) |
|
| covertype (1) |
0.012550926645579 |
| 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) |
0.061308538180662 |
| BNG(anneal.ORIG) (2) |
0.020017471852356 |
| BNG(labor) (2) |
0.11755171056895 |
| BNG(letter) (2) |
|
| BNG(autos) (1) |
0.12708148681013 |
| BNG(lymph) (1) |
0.082316158584969 |
| BNG(mfeat-fourier) (1) |
|
| BNG(mfeat-karhunen) (1) |
|
| BNG(bridges_version1) (1) |
0.19841900363836 |
| BNG(mfeat-zernike) (1) |
|
| BNG(colic.ORIG) (1) |
0.030208352177556 |
| BNG(colic) (1) |
0.060597161319546 |
| BNG(credit-a) (1) |
0.084002396529713 |
| BNG(page-blocks) (1) |
|
| BNG(credit-g) (1) |
0.019508840776259 |
| BNG(pendigits) (1) |
|
| BNG(cylinder-bands) (1) |
0.031616803564985 |
| BNG(dermatology) (1) |
0.37422041732079 |
| BNG(sonar) (1) |
|
| BNG(glass) (1) |
|
| BNG(heart-c) (1) |
0.10590207761875 |
| BNG(heart-statlog) (1) |
|
| BNG(vehicle) (1) |
|
| BNG(hepatitis) (1) |
0.046809803099645 |
| BNG(vowel) (1) |
4.717670282E-5 |
| BNG(waveform-5000) (1) |
|
| BNG(zoo) (1) |
0.37704342340649 |
| IMDB.drama (1) |
|
| 20_newsgroups.drift (1) |
3.0E-16 |
| wine_quality (1) |
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| covertype (2) |
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| satellite_image (1) |
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| Ailerons (1) |
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| coil2000 (1) |
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| libras_move (1) |
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| ozone_level (1) |
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| puma32H (1) |
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| us_crime (1) |
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| bridges (3) |
0.51760527760865 |
| bridges (4) |
0.48124454065174 |
| liver-disorders (1) |
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| bridges (1) |
0.50344257771944 |
| bridges (2) |
0.46717227116951 |
| hayes-roth_test (1) |
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| hayes-roth_train (1) |
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| vowel (1) |
0 |
| cloud (2) |
0 |
| vowel (3) |
0 |
| cjs (2) |
0.40442144548039 |
| ESL (1) |
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| SWD (1) |
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| LEV (1) |
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| ERA (1) |
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| ESL (2) |
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| ada_prior (1) |
0.0714217037438 |
| hiva_agnostic (1) |
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| gina_prior (1) |
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| usp05 (1) |
0.92719800957076 |
| cocomo_numeric (1) |
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| humans_numeric (1) |
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| dresses-sales (1) |
0.034526977531823 |
| eeg-eye-state (1) |
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| energy-efficiency (1) |
2.8483886403013 |
| fertility (1) |
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| first-order-theorem-proving (1) |
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| gas-drift (1) |
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| gas-drift-different-concentrations (1) |
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| har (1) |
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| hill-valley (1) |
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| ilpd (1) |
0.00477057255121 |
| kr-vs-k (1) |
0.13350211211789 |
| leaf (1) |
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| ldpa (1) |
0.00665853844302 |
| lsvt (1) |
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| madelon (1) |
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| nomao (1) |
0.055917746985664 |
| ozone-level-8hr (1) |
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| parkinsons (1) |
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| phoneme (1) |
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| planning-relax (1) |
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| one-hundred-plants-margin (1) |
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| one-hundred-plants-shape (1) |
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| one-hundred-plants-texture (1) |
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| qsar-biodeg (1) |
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| qualitative-bankruptcy (1) |
0.37166899040296 |
| ringnorm (1) |
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| wall-robot-navigation (1) |
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| sa-heart (1) |
0.05342040708244 |
| seeds (1) |
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| seismic-bumps (1) |
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| semeion (1) |
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| skin-segmentation (1) |
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| spoken-arabic-digit (1) |
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| steel-plates-fault (1) |
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| tamilnadu-electricity (1) |
4.2454309656967 |
| thoracic-surgery (1) |
0.0069649196617292 |