data_train_Temperature.csv - mlearn - Mathematics of Machine Learning

data_train_Temperature.csv (90241B)
      1 Window 1,Window 2,Window 3,Window 4,Heat Control 1,Heat Control 2,Heat Control 3,Heat Control 4,Door 1,Door 2,Door 3,Temperature Outside,Temperature Bed
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    975 0.0,1.0,1.0,0.0,2.0,1.0,0.0,0.0,1.0,0.0,1.0,10.006094074630095,21.373883611332
    976 0.0,0.0,1.0,1.0,3.0,1.0,4.0,0.0,1.0,1.0,1.0,13.630680032862184,21.78541885755372
    977 0.0,0.0,1.0,0.0,1.0,4.0,5.0,5.0,0.0,1.0,1.0,11.868106075467715,23.638196111013254
    978 1.0,1.0,0.0,1.0,2.0,2.0,1.0,0.0,1.0,0.0,0.0,8.89909785252988,18.069687655582943
    979 1.0,1.0,0.0,1.0,2.0,4.0,2.0,2.0,1.0,1.0,0.0,12.119519611634118,19.226910327730163
    980 0.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,0.6486160003901693,27.349316666812232
    981 1.0,0.0,1.0,0.0,2.0,2.0,4.0,4.0,1.0,1.0,1.0,11.876429712060396,18.487766220343264
    982 1.0,0.0,0.0,0.0,1.0,5.0,2.0,2.0,1.0,1.0,0.0,17.36147857807227,23.907226251344387
    983 0.0,1.0,1.0,1.0,0.0,5.0,3.0,0.0,0.0,0.0,1.0,10.975416725070856,14.45027011848332
    984 1.0,1.0,1.0,1.0,4.0,1.0,5.0,4.0,0.0,0.0,0.0,19.162555511277773,28.82744729386954
    985 0.0,1.0,0.0,0.0,1.0,1.0,3.0,1.0,0.0,0.0,0.0,9.555266827215286,26.860973887537256
    986 0.0,1.0,1.0,0.0,2.0,1.0,1.0,1.0,1.0,0.0,0.0,9.953701422862636,19.8860038770735
    987 1.0,0.0,1.0,0.0,3.0,0.0,2.0,1.0,0.0,1.0,1.0,6.97527843138063,18.818572706113088
    988 0.0,1.0,0.0,1.0,2.0,0.0,5.0,5.0,0.0,1.0,1.0,5.097302202387947,17.967175032862087
    989 0.0,0.0,1.0,1.0,4.0,0.0,4.0,2.0,1.0,1.0,0.0,5.6719846101999245,14.987359833918008
    990 1.0,0.0,0.0,1.0,3.0,0.0,0.0,0.0,0.0,1.0,1.0,4.669850734433105,15.983256233196292
    991 0.0,0.0,0.0,0.0,5.0,0.0,0.0,1.0,0.0,0.0,1.0,15.524816393707905,29.83699650126125
    992 1.0,0.0,1.0,0.0,0.0,5.0,5.0,5.0,1.0,1.0,0.0,16.425594920910008,18.087152345909804
    993 1.0,1.0,0.0,1.0,1.0,4.0,3.0,5.0,1.0,0.0,1.0,10.764630048321019,19.85985634926303
    994 0.0,0.0,1.0,1.0,5.0,5.0,3.0,3.0,1.0,1.0,0.0,9.815736171893857,18.582141977070968
    995 1.0,1.0,1.0,0.0,4.0,3.0,5.0,5.0,1.0,1.0,1.0,2.4074757379617635,11.353445761716703
    996 1.0,1.0,1.0,0.0,2.0,1.0,5.0,5.0,1.0,1.0,1.0,20.07681104275989,23.91534829794948
    997 1.0,1.0,0.0,0.0,0.0,5.0,3.0,3.0,0.0,1.0,0.0,17.75766715047876,20.95643942677776
    998 0.0,1.0,0.0,0.0,4.0,4.0,0.0,4.0,0.0,0.0,0.0,12.71492683479186,26.751713205474804
    999 1.0,1.0,0.0,0.0,0.0,0.0,4.0,4.0,0.0,1.0,1.0,-1.605705092276236,5.099009128655285
   1000 1.0,0.0,0.0,1.0,1.0,1.0,2.0,2.0,0.0,0.0,1.0,-4.050160633353959,14.844780473575305
   1001 1.0,1.0,0.0,0.0,3.0,1.0,5.0,5.0,0.0,1.0,1.0,-4.280242434434967,9.956991195205601
   1002 0.0,0.0,0.0,0.0,5.0,4.0,1.0,1.0,1.0,0.0,1.0,11.497443386813323,29.092606820892595
   1003 0.0,0.0,1.0,0.0,0.0,2.0,5.0,2.0,1.0,1.0,1.0,9.494433213126523,13.919424957014577
   1004 1.0,1.0,0.0,0.0,4.0,1.0,2.0,1.0,0.0,0.0,1.0,17.232752234677413,29.634796150714447
   1005 1.0,1.0,1.0,1.0,1.0,1.0,4.0,2.0,1.0,1.0,0.0,5.447487098470763,13.120669318687959
   1006 1.0,1.0,0.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,-0.9220126137434912,8.059402402312989
   1007 1.0,1.0,1.0,1.0,4.0,0.0,1.0,4.0,0.0,1.0,0.0,20.4504194326354,24.55588028604415
   1008 0.0,0.0,0.0,1.0,2.0,4.0,1.0,4.0,1.0,0.0,0.0,4.491492143881354,17.954191778385088
   1009 0.0,0.0,1.0,1.0,5.0,4.0,3.0,3.0,1.0,1.0,0.0,8.492018092654149,18.089967922760213
   1010 1.0,1.0,0.0,0.0,4.0,4.0,0.0,4.0,0.0,0.0,1.0,5.898180697332643,22.74687098328507
   1011 1.0,1.0,1.0,1.0,4.0,4.0,3.0,3.0,1.0,1.0,0.0,1.0842244311411156,11.799386936297081
   1012 1.0,1.0,1.0,1.0,3.0,0.0,4.0,2.0,0.0,0.0,0.0,10.130378678656513,24.279506928640348
   1013 0.0,0.0,1.0,0.0,2.0,1.0,0.0,0.0,0.0,1.0,1.0,11.799007977563807,23.037422249354695
   1014 1.0,0.0,0.0,0.0,1.0,0.0,1.0,4.0,1.0,1.0,1.0,20.723835264419062,26.098607259107915
   1015 1.0,1.0,1.0,1.0,1.0,2.0,5.0,5.0,0.0,1.0,1.0,-3.046178363345512,9.39975613268764
   1016 0.0,0.0,1.0,1.0,4.0,1.0,5.0,5.0,1.0,0.0,1.0,-3.0276053383755475,10.15720246681888
   1017 0.0,0.0,1.0,1.0,4.0,0.0,1.0,0.0,1.0,0.0,0.0,19.907916085979473,24.801567955588094
   1018 0.0,1.0,0.0,0.0,0.0,0.0,1.0,4.0,1.0,1.0,1.0,2.81988894952688,9.068418735593568
   1019 1.0,0.0,0.0,1.0,5.0,3.0,1.0,1.0,0.0,0.0,1.0,3.3156659472872274,21.722855740539117
   1020 0.0,0.0,1.0,0.0,3.0,5.0,2.0,3.0,0.0,1.0,1.0,9.02770816387623,21.177126397941226
   1021 0.0,0.0,0.0,0.0,3.0,5.0,5.0,5.0,0.0,1.0,1.0,14.46484739650251,31.761516521052936
   1022 1.0,1.0,1.0,0.0,0.0,2.0,5.0,4.0,1.0,1.0,1.0,5.847253025514515,8.593641046386539
   1023 0.0,0.0,1.0,1.0,2.0,0.0,5.0,3.0,0.0,1.0,1.0,19.77560971714528,26.241866685391305
   1024 0.0,0.0,0.0,1.0,4.0,4.0,3.0,4.0,0.0,0.0,0.0,13.563657776464908,29.293043160473168
   1025 1.0,1.0,0.0,1.0,2.0,4.0,3.0,3.0,0.0,1.0,1.0,0.6773262971395759,13.650925141352484
   1026 0.0,1.0,0.0,0.0,4.0,3.0,4.0,4.0,0.0,1.0,1.0,-1.8794437843899088,13.19623066412846
   1027 1.0,1.0,0.0,1.0,5.0,1.0,4.0,4.0,0.0,0.0,0.0,9.75873939247247,25.925926881185603
   1028 0.0,0.0,1.0,0.0,4.0,0.0,2.0,2.0,0.0,0.0,0.0,11.11648155547443,25.179556075314583
   1029 0.0,0.0,1.0,0.0,4.0,4.0,1.0,1.0,0.0,1.0,1.0,7.057168060997302,20.425336348759593
   1030 0.0,0.0,0.0,1.0,2.0,2.0,5.0,5.0,0.0,1.0,0.0,21.207728391677936,30.59290502642309
   1031 1.0,0.0,1.0,1.0,1.0,4.0,5.0,5.0,1.0,1.0,0.0,7.551026183254088,15.76123779311638
   1032 0.0,0.0,0.0,0.0,2.0,2.0,4.0,2.0,1.0,1.0,0.0,3.868039520204549,28.12375021804112
   1033 1.0,0.0,0.0,0.0,1.0,1.0,5.0,5.0,1.0,0.0,0.0,8.518038541679074,26.539362847715186
   1034 1.0,1.0,0.0,0.0,4.0,2.0,3.0,2.0,0.0,1.0,0.0,4.1588683110650155,16.321946547651983
   1035 1.0,1.0,0.0,1.0,2.0,1.0,2.0,2.0,1.0,1.0,0.0,-4.053498822004328,7.897582022006524
   1036 0.0,0.0,1.0,1.0,1.0,1.0,0.0,0.0,0.0,1.0,0.0,-2.1753617916203813,20.991718094593896
   1037 1.0,1.0,0.0,0.0,4.0,4.0,1.0,1.0,0.0,0.0,1.0,15.14825009541121,29.25956001659375
   1038 1.0,1.0,1.0,1.0,3.0,1.0,4.0,4.0,1.0,1.0,0.0,16.708325201795365,22.563165885545803
   1039 0.0,0.0,1.0,1.0,2.0,5.0,4.0,4.0,0.0,1.0,0.0,5.86769800049988,25.246542905306296
   1040 0.0,0.0,0.0,0.0,0.0,3.0,4.0,5.0,1.0,1.0,0.0,4.41032633032952,21.395692660763093
   1041 1.0,1.0,0.0,0.0,0.0,3.0,3.0,4.0,1.0,1.0,1.0,2.020896774141268,7.998668609074863
   1042 0.0,1.0,1.0,1.0,5.0,0.0,4.0,0.0,0.0,1.0,1.0,-0.4952770072930406,13.974093731980911
   1043 0.0,0.0,1.0,0.0,5.0,5.0,3.0,3.0,1.0,0.0,1.0,3.736295781016258,17.491512705115124
   1044 1.0,1.0,0.0,0.0,5.0,4.0,2.0,1.0,1.0,1.0,0.0,17.808536948583747,23.486859443045407
   1045 1.0,0.0,1.0,1.0,1.0,3.0,2.0,4.0,0.0,1.0,0.0,18.03905407861963,22.948176262293
   1046 0.0,0.0,0.0,0.0,3.0,4.0,1.0,0.0,0.0,0.0,1.0,16.554644257384275,30.86114933575956
   1047 0.0,0.0,1.0,0.0,1.0,0.0,3.0,3.0,0.0,1.0,1.0,4.627708084852459,16.636109959754204
   1048 0.0,0.0,0.0,0.0,1.0,2.0,5.0,0.0,0.0,1.0,0.0,9.228258121500746,27.65300128414245
   1049 1.0,1.0,0.0,1.0,5.0,1.0,4.0,4.0,0.0,1.0,1.0,9.593711636530154,18.507585905612316
   1050 0.0,0.0,0.0,1.0,2.0,3.0,4.0,5.0,1.0,0.0,0.0,-3.0194952623500626,12.088884862178903
   1051 1.0,1.0,1.0,1.0,4.0,2.0,1.0,1.0,0.0,0.0,1.0,4.772464903084016,20.091773844509714
   1052 1.0,1.0,1.0,1.0,3.0,5.0,5.0,0.0,0.0,1.0,0.0,-3.5383763136876016,8.582249979866278
   1053 0.0,0.0,1.0,1.0,2.0,0.0,4.0,4.0,1.0,1.0,1.0,-4.892885412289245,8.150835860182562
   1054 0.0,1.0,1.0,0.0,1.0,3.0,5.0,1.0,0.0,0.0,0.0,12.717978476614167,27.232767443760476
   1055 0.0,0.0,1.0,0.0,1.0,2.0,2.0,3.0,1.0,0.0,0.0,10.845980678039927,21.30954846520143
   1056 1.0,1.0,0.0,1.0,4.0,3.0,4.0,4.0,0.0,1.0,0.0,18.004288321289277,24.474886296553148
   1057 0.0,0.0,1.0,1.0,3.0,1.0,0.0,3.0,0.0,1.0,1.0,1.2941745650659708,16.437080322259387
   1058 0.0,0.0,1.0,0.0,5.0,4.0,3.0,3.0,1.0,0.0,0.0,-2.7895043384925713,12.919612235769613
   1059 0.0,0.0,1.0,0.0,2.0,2.0,3.0,3.0,0.0,0.0,1.0,18.247893608073465,28.665498419097197
   1060 1.0,1.0,0.0,1.0,0.0,5.0,1.0,1.0,1.0,0.0,1.0,1.888621747965555,5.939057340359883
   1061 0.0,0.0,0.0,1.0,1.0,0.0,4.0,3.0,0.0,0.0,0.0,-1.9849021803713631,21.898153560870366
   1062 0.0,1.0,1.0,1.0,1.0,4.0,2.0,5.0,0.0,0.0,0.0,1.2873695132951424,21.086335479328966
   1063 1.0,1.0,0.0,1.0,4.0,4.0,1.0,1.0,0.0,1.0,1.0,12.362857443729407,20.606913647421383
   1064 0.0,1.0,1.0,1.0,1.0,1.0,3.0,5.0,0.0,1.0,1.0,14.916108771875486,23.548161235507028
   1065 1.0,1.0,1.0,1.0,2.0,1.0,2.0,2.0,1.0,1.0,0.0,-2.0831367390249467,8.803860547921941
   1066 0.0,1.0,1.0,0.0,1.0,5.0,1.0,1.0,0.0,1.0,1.0,-0.51058106365178,14.231374359767818
   1067 1.0,1.0,1.0,1.0,4.0,2.0,3.0,3.0,1.0,1.0,1.0,7.6897291665866785,15.07152255085656
   1068 1.0,1.0,0.0,0.0,3.0,4.0,4.0,4.0,0.0,0.0,1.0,2.2956925994821713,22.81905569535048
   1069 0.0,0.0,0.0,0.0,3.0,0.0,3.0,3.0,1.0,0.0,0.0,-1.9977299643363775,23.357131426420743
   1070 0.0,1.0,0.0,1.0,4.0,1.0,3.0,3.0,1.0,0.0,0.0,1.6067738894383616,13.698231968429543
   1071 0.0,0.0,1.0,0.0,1.0,4.0,5.0,5.0,1.0,1.0,1.0,2.3650642207729753,14.286380361310982
   1072 1.0,1.0,0.0,1.0,2.0,4.0,5.0,5.0,0.0,1.0,0.0,15.988445913746578,23.243099685982124
   1073 1.0,0.0,1.0,0.0,1.0,1.0,5.0,5.0,0.0,1.0,1.0,7.976046675215738,18.380133795353885
   1074 0.0,0.0,0.0,0.0,4.0,5.0,5.0,5.0,1.0,1.0,0.0,-1.3739833972850697,25.226906558705732
   1075 1.0,1.0,0.0,0.0,4.0,0.0,2.0,0.0,1.0,0.0,1.0,20.251860875794403,28.279021219067463
   1076 0.0,1.0,1.0,0.0,4.0,4.0,0.0,0.0,1.0,0.0,1.0,19.181534884667183,26.147388361616596
   1077 1.0,1.0,1.0,0.0,3.0,4.0,0.0,3.0,1.0,0.0,1.0,7.758635811301938,18.95231476468654
   1078 1.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,17.84888510275423,25.09831587370512
   1079 0.0,1.0,0.0,0.0,5.0,2.0,0.0,4.0,1.0,0.0,1.0,1.3775394794342342,17.207475480918706
   1080 1.0,1.0,1.0,1.0,1.0,5.0,1.0,1.0,0.0,1.0,1.0,4.7113296134242475,15.693787626094501
   1081 0.0,0.0,0.0,0.0,1.0,4.0,3.0,4.0,1.0,1.0,0.0,9.45607236604815,30.16039231106752
   1082 1.0,1.0,1.0,0.0,3.0,0.0,0.0,5.0,0.0,1.0,1.0,17.049567861794348,23.719411814515997
   1083 1.0,0.0,0.0,1.0,4.0,2.0,2.0,2.0,1.0,1.0,0.0,14.749940227650818,20.72455526964753
   1084 0.0,0.0,0.0,1.0,4.0,1.0,2.0,2.0,1.0,1.0,0.0,-2.698891716254617,10.058089200213088
   1085 0.0,0.0,0.0,0.0,4.0,4.0,3.0,0.0,1.0,1.0,0.0,12.140861230954304,29.208828778037617
   1086 1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,-4.627413669484452,1.0610313600482935
   1087 1.0,1.0,1.0,0.0,3.0,0.0,3.0,3.0,0.0,1.0,1.0,20.68300262381222,26.804649056951398
   1088 0.0,0.0,1.0,1.0,1.0,5.0,3.0,0.0,0.0,0.0,0.0,15.647391156094518,28.7746852334779
   1089 0.0,0.0,0.0,1.0,4.0,0.0,2.0,2.0,0.0,0.0,1.0,20.10215361774912,30.288661424694947
   1090 1.0,1.0,0.0,0.0,3.0,4.0,4.0,5.0,1.0,1.0,1.0,14.986757310557596,23.408312210272435
   1091 1.0,1.0,1.0,0.0,0.0,0.0,4.0,1.0,1.0,0.0,0.0,1.2991488683106223,6.102691277887116
   1092 0.0,0.0,1.0,1.0,0.0,0.0,5.0,5.0,1.0,0.0,0.0,-2.980818996370205,3.779726077235934
   1093 1.0,1.0,1.0,0.0,5.0,0.0,2.0,2.0,0.0,1.0,1.0,6.322274823223111,17.002934396880438
   1094 1.0,1.0,1.0,0.0,4.0,2.0,3.0,5.0,1.0,0.0,1.0,-1.224444148361325,13.168636540597262
   1095 0.0,0.0,1.0,1.0,4.0,2.0,5.0,5.0,0.0,1.0,0.0,21.64505230634319,31.234534774763326
   1096 1.0,1.0,1.0,1.0,1.0,1.0,2.0,0.0,1.0,0.0,1.0,9.847456399540418,19.95422710683745
	mlearn Mathematics of Machine Learning
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