Measure

Quartile1MeansOfNumericAtts

First quartile of means among attributes of the numeric type.

Value per dataset

credit-g (1) 1.407
pc1 (1) 4.0087466185753
first-order-theorem-proving (1) -0.0081597994442654
hill-valley (1) 8140.3678712871
mushroom (1)
pc3 (1) 1.4418586052463
steel-plates-fault (1) 0.20427614631633
madelon (1) 480.05153846154
phoneme (1) -3.82124352773E-8
vineyard (1) 3.2788461538462
isolet (1) -0.14370138514813
synthetic_control (1) 29.729358858333
abalone (1) 0.18059360785253
mfeat-fourier (1) 0.0863261346625
mozilla4 (1) 217.29157285301
cylinder-bands (2) 2.1292777467606
spambase (1) 0.064793523147141
banknote-authentication (1) -0.78530857653061
MiceProtein (1) 0.19428705660104
adult (2) 31.502211211662
MagicTelescope (1) 0.24095875131441
pbc (1) 10.731730769231
fourclass_scale (1) -0.2877030162413
mfeat-morphological (1) 0.65824999999999
bolts (1) 2
pharynx (1) 60.435897435897
diabetes_numeric (1) -8.1488372093023
pendigits (1) 35.906363719068
anneal (7) 3.025695155902
semeion (1) 0.25878844946642
satimage (1) -0.00074377099533442
vehicle (1) 35.846040189125
GesturePhaseSegmentationProcessed (1) -7.2940241061481E-7
wilt (1) 70.39366917142
electricity (1) 0.057868310138595
breast-w (1) 2.8369098712446
musk (1) -87.327561382237
anneal (6) 3.025695155902
profb (1) 7.0963541666667
jm1 (1) 3.7013229214515
anneal (3) 3.025695155902
anneal (17) 3.025695155902
autoPrice (1) 14.251352201258
cleveland (1) 0.93729372937294
cardiotocography (1) 0.12605832549388
scene (1) 0.12509031512256
ilpd (1) 2.3139794168096
mfeat-zernike (1) 7.537383493435
wisconsin (1) 0.088792293814433
anneal (15) 3.025695155902
anneal (22) 3.025695155902
car (1)
cnae-9 (1) 0.00092592592592593
gina_agnostic (1) 11.60604094579
kin8nm (1) -0.0084651754379732
iris (2) 1.6625
delta_elevators (1) -0.28988126510455
qsar-biodeg (1) 0.10189573459716
monks-problems-1 (1)
anneal (14) 3.025695155902
texture (1) -0.70752004545455
lowbwt (1) 23.238095238095
anneal (2) 3.025695155902
Australian (3) -0.82298201123188
eucalyptus (1) 2.8829085457271
one-hundred-plants-shape (1) 0.00054906953125
analcatdata_dmft (1)
anneal (34) 3.025695155902
anneal (29) 3.025695155902
anneal (23) 3.025695155902
pol (1) 0
mbagrade (1) 3.290393442623
Amazon_employee_access (1)
letter (1) 4.1748125
one-hundred-plants-texture (1) 0.010456374452783
TEST1c848ab209-pandas_testing_dataset (3)
PhishingWebsites (1)
detroit (1) 41.463653846154
sylva_agnostic (1) 0.0032997568600209
anneal (28) 3.025695155902
anneal (53) 3.025695155902
tamilnadu-electricity (1) 0.49963933946397
iris-challenge (1) 1.6625
cholesterol (1) 0.93729372937294
anneal (41) 3.025695155902
anneal (10) 3.025695155902
anneal (35) 3.025695155902
wdbc (1) 0.059327993848858
anneal (43) 3.025695155902
anneal (60) 3.025695155902
TESTebb33ef4fa-XOR (1) 0.5
anneal (44) 3.025695155902
wall-robot-navigation (1) 1.2694878115836
anneal (25) 3.025695155902
TEST29f9ae6987-XOR (1) 0.5
har (1) -0.8685016383144
Bioresponse (1) 0.0064871589753399
artificial-characters (1) 6.0614601683304
anneal (51) 3.025695155902
TEST0a3f20a3a8-pandas_testing_dataset (3)
anneal (37) 3.025695155902
anneal (61) 3.025695155902
anneal (8) 3.025695155902
vowel (2) -0.35618560606061
nomao (1) 0.66430649921659
anneal (5) 3.025695155902
anneal (87) 3.025695155902
TESTc16ac7f367-pandas_testing_dataset (3) 0.4
anneal (62) 3.025695155902
anneal (73) 3.025695155902
anneal (65) 3.025695155902
pc4 (1) 1.4681069958848
TEST861d5ffaea-XOR (1) 0.5
anneal (77) 3.025695155902
anneal (59) 3.025695155902
anneal (74) 3.025695155902
gas-drift (1) -4.7718696124011
anneal (4) 3.025695155902
LED-display-domain-7digit (1) 0.59
anneal (32) 3.025695155902
anneal (9) 3.025695155902
optdigits (1) 0.26103202846975
anneal (13) 3.025695155902
mfeat-karhunen (1) -0.2984167951875
anneal (39) 3.025695155902
anneal (55) 3.025695155902
anneal (90) 3.025695155902
JapaneseVowels (1) -0.21397178523743
anneal (38) 3.025695155902
anneal (36) 3.025695155902
anneal (71) 3.025695155902
anneal (88) 3.025695155902
anneal (19) 3.025695155902
anneal (49) 3.025695155902
anneal (93) 3.025695155902
anneal (26) 3.025695155902
anneal (72) 3.025695155902
anneal (18) 3.025695155902
anneal (33) 3.025695155902
anneal (69) 3.025695155902
anneal (56) 3.025695155902
anneal (126) 3.025695155902
sleep (1) 2.6774193548387
anneal (89) 3.025695155902
anneal (42) 3.025695155902
anneal (100) 3.025695155902
monks-problems-2 (1)
anneal (115) 3.025695155902
mfeat-factors (1) 14.118125
anneal (91) 3.025695155902
anneal (119) 3.025695155902
TEST9103715299-pandas_testing_dataset (2) 0.5
sick (1) 1.7588748012696
anneal (111) 3.025695155902
anneal (40) 3.025695155902
anneal (132) 3.025695155902
anneal (103) 3.025695155902
anneal (133) 3.025695155902
TEST1c3062c843-pandas_testing_dataset (3)
anneal (67) 3.025695155902
anneal (95) 3.025695155902
anneal (76) 3.025695155902
anneal (144) 3.025695155902
fruitfly (1) 0.82096
anneal (16) 3.025695155902
anneal (27) 3.025695155902
TESTfab02098c0-pandas_testing_dataset (2) 0.4
splice (1)
anneal (147) 3.025695155902
one-hundred-plants-margin (1) 0.00862147234375
anneal (80) 3.025695155902
anneal (104) 3.025695155902
TEST44eb4b8b3f-XOR (1) 0.5
anneal (97) 3.025695155902
anneal (70) 3.025695155902
anneal (125) 3.025695155902
anneal (113) 3.025695155902
ozone-level-8hr (1) 1.8374475797159
TESTb5b3545d7e-pandas_testing_dataset (3)
anneal (24) 3.025695155902
TEST00a13efce9-pandas_testing_dataset (1) 0.4
triazines (1) 0.12150537634409
anneal (107) 3.025695155902
anneal (173) 3.025695155902
TESTfab02098c0-pandas_testing_dataset (3) 0.4
anneal (99) 3.025695155902
anneal (176) 3.025695155902
dresses-sales (2) 3.5286
TESTa86b01f9a8-pandas_testing_dataset (3)
anneal (159) 3.025695155902
anneal (158) 3.025695155902
anneal (165) 3.025695155902
TEST495d1e52d8-pandas_testing_dataset (1) 77.2
climate-model-simulation-crashes (1) 0.49998847361111
anneal (94) 3.025695155902
anneal (146) 3.025695155902
anneal (181) 3.025695155902
anneal (178) 3.025695155902
anneal (129) 3.025695155902
anneal (131) 3.025695155902
anneal (163) 3.025695155902
TEST9b06efad03-pandas_testing_dataset (1) 77.2
TEST6abd679a4e-ModifiedWeather (1) 73.571428571429
TEST388a9defc1-pandas_testing_dataset (4) 0.4
TEST84e16ea643-UploadTestWithURL (1) 1.6625
mfeat-pixel (1)
anneal (105) 3.025695155902
micro-mass (2) 681.19912169264
anneal (148) 3.025695155902
TESTd4a9ca9c2d-pandas_testing_dataset (3)
cmc (1) 3.2613713509844
TESTca4a634324-ModifiedWeather (1) 73.571428571429
anneal (160) 3.025695155902
anneal (136) 3.025695155902
anneal (140) 3.025695155902
anneal (121) 3.025695155902
TEST5e105f0c38-pandas_testing_dataset (1) 77.2
anneal (164) 3.025695155902
TEST78cf97e1d2-pandas_testing_dataset (3)
anneal (182) 3.025695155902
TESTd746086797-XOR (1) 0.5
anneal (75) 3.025695155902
anneal (112) 3.025695155902
anneal (47) 3.025695155902
anneal (153) 3.025695155902
TEST9d1aa3a77e-XOR (1) 0.5
TEST495d1e52d8-pandas_testing_dataset (3)
TESTe3d8d93ab0-pandas_testing_dataset (3)
TEST0a395eb24e-XOR (1) 0.5
TEST5e105f0c38-pandas_testing_dataset (2) 0.5
cjs (3) 1.1882352941176
anneal (123) 3.025695155902
TEST104676cb6a-pandas_testing_dataset (3) 0.4
anneal (201) 3.025695155902
TEST2c4f0b6c26-pandas_testing_dataset (2) 0.5
anneal (155) 3.025695155902
anneal (194) 3.025695155902
anneal (167) 3.025695155902
anneal (171) 3.025695155902
anneal (162) 3.025695155902
anneal (135) 3.025695155902
anneal (223) 3.025695155902
TESTdd0a5ebb6e-pandas_testing_dataset (2) 0.4
anneal (106) 3.025695155902
TESTfab02098c0-pandas_testing_dataset (4) 0.4
anneal (161) 3.025695155902
anneal (143) 3.025695155902
anneal (197) 3.025695155902
anneal (199) 3.025695155902
anneal (137) 3.025695155902
anneal (154) 3.025695155902
anneal (134) 3.025695155902
auto_price (1) 26.522012578616
TEST104676cb6a-pandas_testing_dataset (4) 0.4
TESTd66c82a86b-ModifiedWeather (1) 73.571428571429
TEST9b06efad03-pandas_testing_dataset (2) 0.5
kc1 (1) 1.7170222854433
anneal (228) 3.025695155902
TEST0be3452fe0-pandas_testing_dataset (2) 0.5
anneal (212) 3.025695155902
anneal (204) 3.025695155902
anneal (79) 3.025695155902
anneal (145) 3.025695155902
anneal (229) 3.025695155902
TESTdd0a5ebb6e-pandas_testing_dataset (1) 0.4
TEST388a9defc1-pandas_testing_dataset (2) 0.4
TEST104676cb6a-pandas_testing_dataset (1) 0.4
anneal (218) 3.025695155902
TESTdd0a5ebb6e-pandas_testing_dataset (3) 0.4
anneal (198) 3.025695155902
TEST0be3452fe0-pandas_testing_dataset (3)
anneal (98) 3.025695155902
anneal (12) 3.025695155902
anneal (214) 3.025695155902
anneal (120) 3.025695155902
anneal (209) 3.025695155902
anneal (256) 3.025695155902
anneal (110) 3.025695155902
segment (1) 0.0143338
tic-tac-toe (1)
anneal (157) 3.025695155902
TEST5e105f0c38-pandas_testing_dataset (3)
anneal (102) 3.025695155902
anneal (262) 3.025695155902
anneal (170) 3.025695155902
TEST6ba4d7daec-XOR (1) 0.5
anneal (232) 3.025695155902
anneal (237) 3.025695155902
anneal (241) 3.025695155902
anneal (221) 3.025695155902
TESTc8f1eae46a-XOR (1) 0.5
TEST44aee7d221-ModifiedWeather (1) 73.571428571429
TEST495d1e52d8-pandas_testing_dataset (2) 0.5
TEST2c4f0b6c26-pandas_testing_dataset (1) 77.2
autoMpg (1) 19.541331658291
anneal (193) 3.025695155902
anneal (219) 3.025695155902
TEST2c4f0b6c26-pandas_testing_dataset (3)
TEST9103715299-pandas_testing_dataset (3)
anneal (208) 3.025695155902
anneal (255) 3.025695155902
anneal (203) 3.025695155902
anneal (253) 3.025695155902
anneal (270) 3.025695155902
anneal (63) 3.025695155902
anneal (210) 3.025695155902
TEST388a9defc1-pandas_testing_dataset (3) 0.4
anneal (268) 3.025695155902
anneal (271) 3.025695155902
TESTe74389f4b6-XOR (1) 0.5
anneal (222) 3.025695155902
anneal (195) 3.025695155902
anneal (250) 3.025695155902
anneal (205) 3.025695155902
anneal (128) 3.025695155902
anneal (233) 3.025695155902
anneal (82) 3.025695155902
TESTf738f069ca-pandas_testing_dataset (4) 0.4
anneal (225) 3.025695155902
TESTdd0a5ebb6e-pandas_testing_dataset (4) 0.4
anneal (184) 3.025695155902
anneal (68) 3.025695155902
anneal (236) 3.025695155902
anneal (186) 3.025695155902
anneal (191) 3.025695155902
anneal (166) 3.025695155902
anneal (247) 3.025695155902
anneal (248) 3.025695155902
anneal (269) 3.025695155902
anneal (11) 3.025695155902
anneal (92) 3.025695155902
anneal (267) 3.025695155902
anneal (226) 3.025695155902
anneal (257) 3.025695155902
anneal (190) 3.025695155902
anneal (263) 3.025695155902
TESTdd2273bbad-pandas_testing_dataset (3)
TESTbdcda46197-pandas_testing_dataset (3)
quake (1) 6.4733849862259
TESTcbac53b2c5-XOR (1) 0.5
anneal (57) 3.025695155902
TESTb7d5691345-XOR (1) 0.5
anneal (192) 3.025695155902
anneal (230) 3.025695155902
anneal (202) 3.025695155902
anneal (251) 3.025695155902
anneal (206) 3.025695155902
anneal (139) 3.025695155902
anneal (188) 3.025695155902
TEST5037c378b1-pandas_testing_dataset (3)
TEST388a9defc1-pandas_testing_dataset (1) 0.4
anneal (152) 3.025695155902
TEST9b06efad03-pandas_testing_dataset (3)
anneal (266) 3.025695155902
anneal (187) 3.025695155902
anneal (200) 3.025695155902
anneal (254) 3.025695155902
anneal (242) 3.025695155902
anneal (240) 3.025695155902
anneal (213) 3.025695155902
anneal (183) 3.025695155902
Click_prediction_small (5) 2.0301141483929
anneal (156) 3.025695155902
TEST2f9e899c65-XOR (1) 0.5
anneal (246) 3.025695155902
anneal (151) 3.025695155902
anneal (52) 3.025695155902
anneal (109) 3.025695155902
anneal (215) 3.025695155902
anneal (261) 3.025695155902
anneal (168) 3.025695155902
TEST3620d8fbd0-XOR (1) 0.5
anneal (258) 3.025695155902
irish (1) 38.934599156118
anneal (239) 3.025695155902
anneal (252) 3.025695155902
anneal (81) 3.025695155902
anneal (244) 3.025695155902
TEST104676cb6a-pandas_testing_dataset (2) 0.4
TESTc16ac7f367-pandas_testing_dataset (4) 0.4
TESTfab02098c0-pandas_testing_dataset (1) 0.4
anneal (275) 3.025695155902
anneal (274) 3.025695155902
anneal (312) 3.025695155902
anneal (280) 3.025695155902
anneal (286) 3.025695155902
anneal (301) 3.025695155902
anneal (282) 3.025695155902
anneal (284) 3.025695155902
anneal (273) 3.025695155902
anneal (278) 3.025695155902
anneal (333) 3.025695155902
anneal (318) 3.025695155902
anneal (359) 3.025695155902
anneal (356) 3.025695155902
anneal (385) 3.025695155902
anneal (379) 3.025695155902
anneal (298) 3.025695155902
anneal (311) 3.025695155902
anneal (320) 3.025695155902
anneal (362) 3.025695155902
anneal (355) 3.025695155902
anneal (357) 3.025695155902
anneal (337) 3.025695155902
anneal (381) 3.025695155902
anneal (335) 3.025695155902
anneal (336) 3.025695155902
anneal (384) 3.025695155902
TESTfa348335d3-pandas_testing_dataset (3)
anneal (332) 3.025695155902
anneal (346) 3.025695155902
anneal (388) 3.025695155902
anneal (305) 3.025695155902
anneal (343) 3.025695155902
anneal (288) 3.025695155902
TEST845a642017-pandas_testing_dataset (3)
anneal (340) 3.025695155902
anneal (374) 3.025695155902
anneal (372) 3.025695155902
anneal (371) 3.025695155902
TEST5b30e679ed-pandas_testing_dataset (1) 0.4
anneal (383) 3.025695155902
anneal (358) 3.025695155902
anneal (395) 3.025695155902
TEST6f97db9a3e-ModifiedWeather (1) 73.571428571429
anneal (290) 3.025695155902
anneal (324) 3.025695155902
TEST5b30e679ed-pandas_testing_dataset (4) 0.4
TEST7dc1ecdb15-XOR (1) 0.5
anneal (354) 3.025695155902
anneal (303) 3.025695155902
anneal (319) 3.025695155902
anneal (334) 3.025695155902
anneal (405) 3.025695155902
anneal (404) 3.025695155902
anneal (308) 3.025695155902
anneal (398) 3.025695155902
anneal (291) 3.025695155902
TEST6dc49fc872-pandas_testing_dataset (2) 0.5
anneal (402) 3.025695155902
TESTb410f44fd0-pandas_testing_dataset (3) 0.4
anneal (317) 3.025695155902
TESTb410f44fd0-pandas_testing_dataset (1) 0.4
TESTc5c73d43cf-XOR (1) 0.5
anneal (360) 3.025695155902
anneal (403) 3.025695155902
anneal (277) 3.025695155902
anneal (407) 3.025695155902
TEST5b30e679ed-pandas_testing_dataset (3) 0.4
anneal (410) 3.025695155902
anneal (361) 3.025695155902
TEST9161e0d711-pandas_testing_dataset (3)
TESTeedf1c617e-pandas_testing_dataset (3) 0.4
TEST58188dfbc6-pandas_testing_dataset (3) 0.4
TESTa5e33d6c29-pandas_testing_dataset (1) 77.2
TESTb410f44fd0-pandas_testing_dataset (2) 0.4
TEST6dc49fc872-pandas_testing_dataset (1) 77.2
TESTb918af0e2d-pandas_testing_dataset (4) 0.4
anneal (409) 3.025695155902
anneal (347) 3.025695155902
anneal (295) 3.025695155902
anneal (348) 3.025695155902
TEST0938a9daba-pandas_testing_dataset (3)
anneal (287) 3.025695155902
TESTca5628eaef-pandas_testing_dataset (1) 77.2
anneal (314) 3.025695155902
anneal (408) 3.025695155902
TESTc9ed3920cd-XOR (1) 0.5
TESTeedf1c617e-pandas_testing_dataset (2) 0.4
TESTa5e33d6c29-pandas_testing_dataset (3)
TESTa10ede6728-XOR (1) 0.5
anneal (342) 3.025695155902
TESTeedf1c617e-pandas_testing_dataset (4) 0.4
TESTb918af0e2d-pandas_testing_dataset (3) 0.4
anneal (422) 3.025695155902
anneal (296) 3.025695155902
anneal (276) 3.025695155902
anneal (418) 3.025695155902
anneal (304) 3.025695155902
anneal (399) 3.025695155902
TESTa5e33d6c29-pandas_testing_dataset (2) 0.5
anneal (390) 3.025695155902
TEST10c25a3b38-pandas_testing_dataset (3)
anneal (424) 3.025695155902
TESTed776f0840-pandas_testing_dataset (3)
anneal (412) 3.025695155902
anneal (417) 3.025695155902
anneal (283) 3.025695155902
anneal (425) 3.025695155902
anneal (400) 3.025695155902
TESTed7333f3d2-ModifiedWeather (1) 73.571428571429
anneal (420) 3.025695155902
anneal (413) 3.025695155902
anneal (423) 3.025695155902
TESTf9ea71bde7-XOR (1) 0.5
anneal (325) 3.025695155902
TEST5b30e679ed-pandas_testing_dataset (2) 0.4
anneal (434) 3.025695155902
anneal (365) 3.025695155902
anneal (426) 3.025695155902
TEST855da0f4bb-ModifiedWeather (1) 73.571428571429
TEST84e82f2c56-ModifiedWeather (1) 73.571428571429
TESTb9093fb3b4-ModifiedWeather (1) 73.571428571429
TEST178704e3b7-ModifiedWeather (1) 73.571428571429
anneal (393) 3.025695155902
TESTd655778eb6-ModifiedWeather (1) 73.571428571429
anneal (438) 3.025695155902
TEST17eccd9837-pandas_testing_dataset (3) 0.4
anneal (433) 3.025695155902
TESTb918af0e2d-pandas_testing_dataset (2) 0.4
TESTca5628eaef-pandas_testing_dataset (2) 0.5
TESTf2a16c917e-XOR (1) 0.5
anneal (429) 3.025695155902
anneal (443) 3.025695155902
anneal (401) 3.025695155902
anneal (363) 3.025695155902
anneal (344) 3.025695155902
anneal (380) 3.025695155902
TEST6dc49fc872-pandas_testing_dataset (3)