% Python_3.7.3. % Keras_2.2.4. % NumPy_1.16.2. % SciPy_1.2.1. % Thu Jun 6 11:29:20 2019 % Created by run_task() @RELATION openml_task_4958_predictions @ATTRIBUTE repeat NUMERIC @ATTRIBUTE fold NUMERIC @ATTRIBUTE row_id NUMERIC @ATTRIBUTE prediction NUMERIC @ATTRIBUTE truth NUMERIC @DATA 0,0,24,-0.017387396,-0.2798074781894684 0,0,54,0.105847195,0.5003389120101929 0,0,94,0.095449135,2.445103406906128 0,0,80,-0.120530605,0.5793161988258362 0,0,47,0.055806022,-1.211591124534607 0,0,40,0.04123281,-2.0366106033325195 0,0,63,-0.15158738,-0.3180752396583557 0,0,97,0.24045165,0.029017385095357895 0,0,42,0.017488843,-1.486659288406372 0,0,96,0.14788017,1.0550744533538818 0,1,99,0.12888026,1.075299859046936 0,1,44,0.35518846,-1.1060254573822021 0,1,43,-0.026057847,-0.23420022428035736 0,1,22,0.47521627,0.6185750365257263 0,1,69,0.3019648,-0.7759618163108826 0,1,79,-0.19786121,-0.5330873727798462 0,1,34,0.28649655,0.37306317687034607 0,1,41,0.29068634,-0.11742284893989563 0,1,85,0.04609128,-0.8636960387229919 0,1,37,0.27399608,1.0266873836517334 0,2,89,-0.09202242,0.4186120331287384 0,2,93,-0.12963621,-0.9926208853721619 0,2,15,0.07385188,0.3773918151855469 0,2,17,-0.05298537,1.2795379161834717 0,2,62,-0.18819839,0.6900163888931274 0,2,76,-0.09545736,1.4872262477874756 0,2,2,-0.18943001,0.48628929257392883 0,2,45,-0.06451447,0.9185836911201477 0,2,67,0.011836977,0.08499543368816376 0,2,8,-0.06533137,2.5683608055114746 0,3,18,0.15915589,0.3894274830818176 0,3,58,0.045054913,-1.5878748893737793 0,3,71,-0.041984163,2.193119764328003 0,3,29,0.026450671,0.14190876483917236 0,3,46,0.1668129,-0.8127297759056091 0,3,78,0.101605974,-0.054924044758081436 0,3,11,-0.025453199,-0.40857526659965515 0,3,7,0.0029360282,0.5698556303977966 0,3,4,0.10080431,-2.1168813705444336 0,3,27,-0.15313272,0.44965094327926636 0,4,68,0.048681393,-0.4873078763484955 0,4,9,-0.16433658,-0.2265547662973404 0,4,81,-0.25551882,-0.5026456713676453 0,4,95,0.16522951,0.9146658182144165 0,4,70,0.016787514,-2.1360697746276855 0,4,75,0.34061483,0.376898854970932 0,4,39,0.12824272,-0.5051246285438538 0,4,72,-0.09531917,0.596440851688385 0,4,13,0.14474551,0.46288013458251953 0,4,19,0.11162888,0.5073767900466919 0,5,55,-0.016579004,-0.12663483619689941 0,5,83,0.028317753,0.10349857062101364 0,5,64,0.2429528,-0.49204081296920776 0,5,28,0.24499457,0.0770464763045311 0,5,86,0.033913836,-0.7519562244415283 0,5,6,0.47236347,0.05164693668484688 0,5,5,0.27134982,0.8700502514839172 0,5,31,0.17438549,0.0398116298019886 0,5,14,0.28489694,0.2911761999130249 0,5,20,-0.11242471,-1.7912492752075195 0,6,30,0.26918644,-0.88811856508255 0,6,0,0.052093707,-1.008481740951538 0,6,65,0.10402497,1.523197054862976 0,6,82,0.50747174,1.7177242040634155 0,6,32,0.45115638,0.24406510591506958 0,6,56,-0.24418442,-0.46566277742385864 0,6,91,0.56603396,-0.9236758351325989 0,6,98,0.3823654,-2.126635789871216 0,6,88,0.20612292,-0.27582427859306335 0,6,35,-0.14512734,0.8092876076698303 0,7,90,0.42726663,-0.8875845074653625 0,7,92,0.09381213,-0.2037501484155655 0,7,66,0.15723583,0.32930904626846313 0,7,49,0.05388235,-1.7500884532928467 0,7,10,0.35062072,0.8054050207138062 0,7,48,0.36904016,-0.6300110220909119 0,7,53,0.22048834,1.4541057348251343 0,7,74,0.041383598,-0.06540165841579437 0,7,12,0.117709264,0.6060576438903809 0,7,23,0.12384373,-0.9251840710639954 0,8,38,-0.12623745,-1.2362476587295532 0,8,21,0.21971613,0.11402630060911179 0,8,26,0.20283878,-0.11152391135692596 0,8,52,0.31262732,1.461825966835022 0,8,84,0.05181927,0.780427098274231 0,8,3,-0.06785009,-2.17834734916687 0,8,1,0.18508016,0.1011626198887825 0,8,57,0.039400827,0.656565248966217 0,8,50,-0.093376674,-1.5709441900253296 0,8,77,-0.08391901,0.16394615173339844 0,9,16,0.14481227,-1.3956899642944336 0,9,51,-0.11344501,-0.11890777200460434 0,9,36,0.43368483,-0.48714298009872437 0,9,73,0.087347515,0.7113964557647705 0,9,33,0.37547007,0.717237651348114 0,9,59,0.29585648,0.37278231978416443 0,9,87,-0.16645895,0.416059285402298 0,9,25,-0.014712572,0.7386515736579895 0,9,61,0.30902967,0.6387551426887512 0,9,60,0.3980467,0.7946184873580933