% Python_3.7.3. % Keras_2.2.4. % NumPy_1.16.2. % SciPy_1.2.1. % Thu Jun 6 11:30:03 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 0,0,24,0.27180094,-0.2798074781894684 0,0,54,0.54273,0.5003389120101929 0,0,94,0.5165241,2.445103406906128 0,0,80,0.017403794,0.5793161988258362 0,0,47,0.22480536,-1.211591124534607 0,0,40,0.4340083,-2.0366106033325195 0,0,63,0.31212676,-0.3180752396583557 0,0,97,0.19724317,0.029017385095357895 0,0,42,0.19512175,-1.486659288406372 0,0,96,0.57014227,1.0550744533538818 0,1,99,-0.26753694,1.075299859046936 0,1,44,0.2547147,-1.1060254573822021 0,1,43,-0.17082027,-0.23420022428035736 0,1,22,0.5391745,0.6185750365257263 0,1,69,0.41155425,-0.7759618163108826 0,1,79,-0.14875053,-0.5330873727798462 0,1,34,0.04323254,0.37306317687034607 0,1,41,0.004751062,-0.11742284893989563 0,1,85,-0.052199375,-0.8636960387229919 0,1,37,0.20739709,1.0266873836517334 0,2,89,0.14691229,0.4186120331287384 0,2,93,-0.50877035,-0.9926208853721619 0,2,15,-0.23698805,0.3773918151855469 0,2,17,-0.17773767,1.2795379161834717 0,2,62,-0.07723851,0.6900163888931274 0,2,76,0.18640494,1.4872262477874756 0,2,2,-0.19585106,0.48628929257392883 0,2,45,0.2027827,0.9185836911201477 0,2,67,-0.040731348,0.08499543368816376 0,2,8,0.26775953,2.5683608055114746 0,3,18,-0.1133696,0.3894274830818176 0,3,58,-0.13323897,-1.5878748893737793 0,3,71,0.1191026,2.193119764328003 0,3,29,0.0638326,0.14190876483917236 0,3,46,-0.31788304,-0.8127297759056091 0,3,78,-0.28087935,-0.054924044758081436 0,3,11,-0.024489809,-0.40857526659965515 0,3,7,0.003519457,0.5698556303977966 0,3,4,0.21991573,-2.1168813705444336 0,3,27,-0.026573692,0.44965094327926636 0,4,68,-0.26363844,-0.4873078763484955 0,4,9,-0.013453798,-0.2265547662973404 0,4,81,0.058477424,-0.5026456713676453 0,4,95,0.20779157,0.9146658182144165 0,4,70,0.36029413,-2.1360697746276855 0,4,75,0.23322724,0.376898854970932 0,4,39,0.17719044,-0.5051246285438538 0,4,72,0.15421036,0.596440851688385 0,4,13,-0.049911555,0.46288013458251953 0,4,19,-0.26849923,0.5073767900466919 0,5,55,0.02819995,-0.12663483619689941 0,5,83,-0.19132026,0.10349857062101364 0,5,64,-0.13533577,-0.49204081296920776 0,5,28,0.19348966,0.0770464763045311 0,5,86,-0.028182512,-0.7519562244415283 0,5,6,-0.20086281,0.05164693668484688 0,5,5,0.32860306,0.8700502514839172 0,5,31,0.43540618,0.0398116298019886 0,5,14,0.021825233,0.2911761999130249 0,5,20,-0.028922072,-1.7912492752075195 0,6,30,0.10462573,-0.88811856508255 0,6,0,-0.1946262,-1.008481740951538 0,6,65,-0.21045698,1.523197054862976 0,6,82,-0.0023787399,1.7177242040634155 0,6,32,-0.02927921,0.24406510591506958 0,6,56,-0.28643203,-0.46566277742385864 0,6,91,0.09680997,-0.9236758351325989 0,6,98,-0.004990921,-2.126635789871216 0,6,88,-0.13312532,-0.27582427859306335 0,6,35,-0.2367355,0.8092876076698303 0,7,90,0.07245817,-0.8875845074653625 0,7,92,0.16980581,-0.2037501484155655 0,7,66,0.24263199,0.32930904626846313 0,7,49,-0.160627,-1.7500884532928467 0,7,10,-0.025513675,0.8054050207138062 0,7,48,0.5165727,-0.6300110220909119 0,7,53,-0.0048446916,1.4541057348251343 0,7,74,0.21133803,-0.06540165841579437 0,7,12,0.3987876,0.6060576438903809 0,7,23,-0.092090644,-0.9251840710639954 0,8,38,0.24743721,-1.2362476587295532 0,8,21,-0.2105732,0.11402630060911179 0,8,26,-0.021757703,-0.11152391135692596 0,8,52,0.33609423,1.461825966835022 0,8,84,0.38562217,0.780427098274231 0,8,3,0.24570546,-2.17834734916687 0,8,1,0.100511745,0.1011626198887825 0,8,57,-0.052306507,0.656565248966217 0,8,50,-0.16252907,-1.5709441900253296 0,8,77,-0.029849894,0.16394615173339844 0,9,16,0.01347243,-1.3956899642944336 0,9,51,0.15657753,-0.11890777200460434 0,9,36,-0.011105392,-0.48714298009872437 0,9,73,0.05551044,0.7113964557647705 0,9,33,0.29054934,0.717237651348114 0,9,59,0.16012205,0.37278231978416443 0,9,87,-0.028318591,0.416059285402298 0,9,25,0.03995526,0.7386515736579895 0,9,61,0.14320716,0.6387551426887512 0,9,60,0.33326477,0.7946184873580933