% Python_3.7.3. % Keras_2.2.4. % NumPy_1.16.2. % SciPy_1.2.1. % Thu Jun 6 11:31:12 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,-0.22988279,-0.2798074781894684 0,0,54,-0.13542461,0.5003389120101929 0,0,94,-0.18679655,2.445103406906128 0,0,80,-0.15618527,0.5793161988258362 0,0,47,0.14429885,-1.211591124534607 0,0,40,-0.04170986,-2.0366106033325195 0,0,63,-0.13016471,-0.3180752396583557 0,0,97,-0.11369292,0.029017385095357895 0,0,42,-0.15069744,-1.486659288406372 0,0,96,0.1321311,1.0550744533538818 0,1,99,0.31921166,1.075299859046936 0,1,44,0.22637573,-1.1060254573822021 0,1,43,0.07411583,-0.23420022428035736 0,1,22,0.4658059,0.6185750365257263 0,1,69,0.06763822,-0.7759618163108826 0,1,79,-0.05494888,-0.5330873727798462 0,1,34,0.12130579,0.37306317687034607 0,1,41,-0.024306748,-0.11742284893989563 0,1,85,-0.14744896,-0.8636960387229919 0,1,37,-0.122597195,1.0266873836517334 0,2,89,0.09760985,0.4186120331287384 0,2,93,-0.06575372,-0.9926208853721619 0,2,15,-0.4504659,0.3773918151855469 0,2,17,-0.0063899616,1.2795379161834717 0,2,62,-0.12162648,0.6900163888931274 0,2,76,0.36089373,1.4872262477874756 0,2,2,-0.06589923,0.48628929257392883 0,2,45,-0.023709409,0.9185836911201477 0,2,67,-0.050445825,0.08499543368816376 0,2,8,0.09444735,2.5683608055114746 0,3,18,0.35886467,0.3894274830818176 0,3,58,0.18100691,-1.5878748893737793 0,3,71,0.045794856,2.193119764328003 0,3,29,0.3288256,0.14190876483917236 0,3,46,-0.07745951,-0.8127297759056091 0,3,78,0.08753557,-0.054924044758081436 0,3,11,0.085378624,-0.40857526659965515 0,3,7,-0.111632355,0.5698556303977966 0,3,4,0.27073354,-2.1168813705444336 0,3,27,0.008283347,0.44965094327926636 0,4,68,-0.0027582576,-0.4873078763484955 0,4,9,-0.19302742,-0.2265547662973404 0,4,81,0.20858645,-0.5026456713676453 0,4,95,-0.059491612,0.9146658182144165 0,4,70,0.03464842,-2.1360697746276855 0,4,75,0.14115345,0.376898854970932 0,4,39,-0.15154465,-0.5051246285438538 0,4,72,0.060164668,0.596440851688385 0,4,13,-0.15870322,0.46288013458251953 0,4,19,-0.059700184,0.5073767900466919 0,5,55,0.22095534,-0.12663483619689941 0,5,83,-0.10189176,0.10349857062101364 0,5,64,0.14050217,-0.49204081296920776 0,5,28,0.2675521,0.0770464763045311 0,5,86,-0.26630598,-0.7519562244415283 0,5,6,0.116971426,0.05164693668484688 0,5,5,0.46549806,0.8700502514839172 0,5,31,0.072685294,0.0398116298019886 0,5,14,-0.20399354,0.2911761999130249 0,5,20,-0.29141048,-1.7912492752075195 0,6,30,0.0883727,-0.88811856508255 0,6,0,-0.28819588,-1.008481740951538 0,6,65,0.11845786,1.523197054862976 0,6,82,0.0044937083,1.7177242040634155 0,6,32,0.08837611,0.24406510591506958 0,6,56,0.1412461,-0.46566277742385864 0,6,91,0.030911418,-0.9236758351325989 0,6,98,0.09413294,-2.126635789871216 0,6,88,-0.0891947,-0.27582427859306335 0,6,35,0.2897837,0.8092876076698303 0,7,90,0.23564082,-0.8875845074653625 0,7,92,0.11267251,-0.2037501484155655 0,7,66,-0.2636862,0.32930904626846313 0,7,49,0.18465672,-1.7500884532928467 0,7,10,0.25222108,0.8054050207138062 0,7,48,0.36096963,-0.6300110220909119 0,7,53,0.07552021,1.4541057348251343 0,7,74,-0.016855225,-0.06540165841579437 0,7,12,0.18043827,0.6060576438903809 0,7,23,0.15267727,-0.9251840710639954 0,8,38,0.21188973,-1.2362476587295532 0,8,21,-0.1246987,0.11402630060911179 0,8,26,-0.26056975,-0.11152391135692596 0,8,52,0.25620303,1.461825966835022 0,8,84,-0.056505095,0.780427098274231 0,8,3,0.0105990805,-2.17834734916687 0,8,1,0.16972755,0.1011626198887825 0,8,57,0.50483376,0.656565248966217 0,8,50,-0.22898556,-1.5709441900253296 0,8,77,-0.04165376,0.16394615173339844 0,9,16,-0.08046351,-1.3956899642944336 0,9,51,0.29724228,-0.11890777200460434 0,9,36,-0.3493422,-0.48714298009872437 0,9,73,-0.03294126,0.7113964557647705 0,9,33,-0.015186677,0.717237651348114 0,9,59,-0.11846216,0.37278231978416443 0,9,87,0.06699823,0.416059285402298 0,9,25,-0.19261985,0.7386515736579895 0,9,61,-0.14096932,0.6387551426887512 0,9,60,-0.077527076,0.7946184873580933