279857
2
Joaquin Vanschoren
4238
Supervised Classification
predictive_accuracy
1076
weka.SimpleCart(3)
1846
weka.classifiers.trees.SimpleCart -- -M 2.0 -N 5 -C 1.0 -S 1
M
2.0
1076
N
5
1076
C
1.0
1076
S
1
1076
weka
weka_3.7.12
398
wap.wc
https://www.openml.org/data/download/52510/wap.wc.arff
-1
940228
description
https://api.openml.org/data/download/940228/weka_generated_run3487868408165830961.xml
-1
940231
model_readable
https://api.openml.org/data/download/940231/WekaModel_weka.classifiers.trees.SimpleCart5730538000134777273.model
-1
940230
model_serialized
https://api.openml.org/data/download/940230/WekaSerialized_weka.classifiers.trees.SimpleCart8100924724821171687.model
-1
940229
predictions
https://api.openml.org/data/download/940229/weka_generated_predictions4570178572536142660.arff
area_under_roc_curve
0.871815 [0.576175,0.996286,0.726386,0.741718,0.572819,0.868863,0.968323,0.66778,0.619487,0.710901,0.844517,0.786102,0.783122,0.935145,0.89473,0.978094,0.627936,0.98588,0.821896,0.900226]
average_cost
0
f_measure
0.652135 [0.111675,0.946486,0.155606,0.37415,0,0.629439,0.907664,0.174699,0.169811,0,0.503474,0.378284,0.444623,0.829161,0.699889,0.915625,0.094595,0.986301,0.521361,0.777457]
kappa
0.628797
kb_relative_information_score
9310.647652
mean_absolute_error
0.040749
mean_prior_absolute_error
0.089924
number_of_instances
15600 [150,760,330,540,50,1960,3410,440,180,110,910,400,1680,650,910,970,130,370,1300,350]
os_information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
precision
0.653981 [0.234043,0.927939,0.317757,0.482456,0,0.559793,0.88407,0.258929,0.5625,0,0.490114,0.631579,0.40379,0.795198,0.705357,0.925263,0.388889,1,0.492476,0.78655]
predictive_accuracy
0.669808
prior_entropy
3.738083
recall
0.669808 [0.073333,0.965789,0.10303,0.305556,0,0.718878,0.932551,0.131818,0.1,0,0.517582,0.27,0.494643,0.866154,0.694505,0.906186,0.053846,0.972973,0.553846,0.768571]
relative_absolute_error
0.453144
root_mean_prior_squared_error
0.211967
root_mean_squared_error
0.158953
root_relative_squared_error
0.749898
scimark_benchmark
1335.542437 [806.7718259494214, 971.0028091073175, 515.2312331298533, 1046.4830857247607, 3338.2232329913204]
total_cost
0
usercpu_time_millis
414550
usercpu_time_millis_testing
10
usercpu_time_millis_training
414540
area_under_roc_curve
0.865338 [1,1,0.689145,0.77947,0.46129,0.842279,0.972035,0.397351,0.477419,0.483871,0.741781,0.730263,0.895536,0.849952,0.894558,0.993493,0.916129,1,0.849112,0.825708]
area_under_roc_curve
0.878873 [0.579545,1,0.54793,0.765563,0.0,0.833077,0.970956,0.461349,0.660714,0.983871,0.93424,0.8125,0.828795,0.886111,0.926027,1,0.325806,1,0.908284,0.720395]
area_under_roc_curve
0.868156 [0.324675,1,0.693257,0.788079,0.0,0.850749,0.961186,0.618543,0.633117,0.996774,0.71542,0.65625,0.839955,0.991371,0.884247,0.989726,0.264516,1,0.889457,0.953159]
area_under_roc_curve
0.853849 [0.301948,0.9375,0.629934,0.739735,0.480645,0.855515,0.972276,0.546875,0.43871,0.416129,0.907029,0.560855,0.829242,0.887778,0.873973,1,0.435484,1,0.783217,1]
area_under_roc_curve
0.886667 [0.599026,0.996644,0.673203,0.882781,0.454839,0.812908,0.971794,0.860265,0.958065,0.993548,0.77089,0.981086,0.812738,1,0.897581,1,1,1,0.81603,0.845395]
area_under_roc_curve
0.870738 [0.654221,0.996622,0.578431,0.696689,0.0,0.84136,0.970347,0.556954,0.409677,0.993548,0.759637,0.910362,0.810268,0.916587,0.981481,0.998973,0.429032,1,0.880581,0.692434]
area_under_roc_curve
0.8761 [0.282468,0.996622,0.813322,0.800662,0.0,0.855147,0.955882,0.653783,1,0.419355,0.84127,0.746711,0.741964,0.993289,0.885959,0.989384,0.396774,1,0.943787,0.859375]
area_under_roc_curve
0.893957 [0.980519,0.995777,0.868192,0.819205,0.0,0.89614,0.989031,0.640625,0.696429,0.809677,0.924792,0.811678,0.774439,0.999041,0.976568,0.938356,0.267742,0.833333,0.807961,0.835526]
area_under_roc_curve
0.900233 [0.909677,0.999155,0.905229,0.545033,0.0,0.981985,0.994937,0.850329,0.383117,0.458065,0.849315,0.948191,0.776767,0.924736,0.829932,1,0.335484,1,0.944325,0.651416]
area_under_roc_curve
0.86813 [0.287097,0.995355,0.849673,0.640556,0.0,0.88398,0.991321,0.570724,0.719156,0.464516,0.79743,0.716283,0.721752,1,0.911565,1,0.340909,1,0.838623,1]
area_under_roc_curve
0.88007 [0.329032,1,0.898026,0.50596,0.0,0.857353,0.959386,0.697368,0.626623,0.993548,0.785336,0.805099,0.822321,0.907478,0.989418,1,0.432258,1,0.845078,0.989309]
area_under_roc_curve
0.879637 [0.36129,1,0.606754,0.911921,0.416129,0.924816,0.983727,0.86102,0.650974,0.425806,0.902397,0.660362,0.721329,0.892778,0.835601,1,0.383871,1,0.827864,1]
area_under_roc_curve
0.829147 [0.948387,0.9375,0.552288,0.698675,0.0,0.854783,0.949253,0.711349,0.457792,0.487013,0.69726,0.606086,0.671392,0.981667,0.846183,0.994521,0.887097,0.875,0.765734,0.973684]
area_under_roc_curve
0.878402 [0.576299,1,0.808279,0.802649,0.0,0.915625,0.946399,0.585526,0.241935,0.878247,0.827664,0.804276,0.697419,0.89837,0.95805,0.987671,0.812903,1,0.908822,0.908497]
area_under_roc_curve
0.837417 [0.33871,0.996644,0.739651,0.658278,0.477419,0.894118,0.991442,0.810596,0.386364,0.983871,0.871504,0.746711,0.556284,0.913231,0.925926,0.989041,0.364516,1,0.682625,0.59695]
area_under_roc_curve
0.878654 [0.959416,1,0.507625,0.780132,0.0,0.944853,0.952387,0.580592,0.642857,0.441935,0.70446,0.71875,0.916208,0.900767,0.919501,0.992466,0.409677,0.875,0.789941,0.981086]
area_under_roc_curve
0.884441 [0.392857,1,0.588816,0.822517,0.0,0.9375,0.94636,0.596689,0.454839,0.483871,0.772109,0.864309,0.827455,0.998082,0.991686,0.89589,0.980645,1,0.874933,1]
area_under_roc_curve
0.86886 [0.673701,1,0.544662,0.735099,0.0,0.895588,0.942502,0.470395,0.967742,0.996774,0.747921,0.960526,0.695303,0.985618,0.982237,0.944521,0.896774,1,0.818989,0.990132]
area_under_roc_curve
0.878961 [0.845161,0.993243,0.800987,0.756291,0.0,0.881066,0.971794,0.664901,0.448052,0.909677,0.791761,0.864309,0.839822,1,0.81746,0.942466,0.329032,0.875,0.899408,0.795207]
area_under_roc_curve
0.887779 [0.402597,1,0.748366,0.753889,0.0,0.833272,0.985415,0.764803,0.988636,0.464516,0.884732,0.856908,0.772958,0.996667,0.930461,0.996918,0.633117,0.833333,0.948359,0.766885]
area_under_roc_curve
0.886736 [1,0.993243,0.906318,0.78543,0.0,0.818199,0.962512,0.472862,0.418831,0.993506,0.933485,0.822368,0.868388,0.992222,0.908541,0.993493,0.602273,1,0.884077,0.679276]
area_under_roc_curve
0.914996 [0.919355,1,0.779605,0.827815,0.458065,0.933824,0.980955,0.792763,0.644481,0.419355,0.875661,0.976974,0.832628,0.999444,0.963719,1,0.390323,1,0.869285,0.972862]
area_under_roc_curve
0.881529 [0.316129,0.9375,0.971678,0.768874,0.0,0.884007,0.986258,0.76398,0.383117,1,0.832577,0.926809,0.776555,0.826667,0.835979,0.944863,0.991883,1,0.817644,0.990132]
area_under_roc_curve
0.863276 [0.387097,1,0.552288,0.849669,0.0,0.853676,0.935029,0.504112,0.428571,0.467742,0.880574,0.877467,0.849767,0.99233,0.764928,0.996575,0.870968,1,0.742873,0.991776]
area_under_roc_curve
0.863915 [0.403226,0.996644,0.530501,0.718543,0.996774,0.887684,0.940333,0.462252,0.659091,0.458065,0.876039,0.780428,0.72154,0.999521,0.83031,0.996233,0.951613,1,0.903981,0.996732]
area_under_roc_curve
0.881801 [0.667208,1,0.930921,0.577778,0.0,0.847059,0.983365,0.587171,0.61039,0.43871,0.921769,0.945724,0.805967,0.817833,0.953137,0.989796,0.380645,1,0.91447,0.797386]
area_under_roc_curve
0.869456 [0.655844,1,0.558824,0.754967,0.0,0.912793,1,0.538411,0.707792,0.451613,0.873016,0.648849,0.70821,0.915628,0.965986,0.933485,0.290323,1,0.831361,0.96875]
area_under_roc_curve
0.885807 [0.550325,1,0.948802,0.696667,0.0,0.918382,0.961066,0.602796,0.341935,0.983871,0.733938,0.780428,0.839399,0.903643,0.854875,0.995548,0.464516,1,0.913663,0.988017]
area_under_roc_curve
0.875935 [0.219355,1,0.685033,0.965563,0.0,0.859191,0.964079,0.770199,0.626623,0.993548,0.758881,0.595395,0.808295,0.878889,0.812547,1,0.832258,1,0.879774,0.996732]
area_under_roc_curve
0.875688 [0.823052,1,0.875,0.962252,0.0,0.878309,0.974566,0.784539,0.577922,1,0.808012,0.645559,0.796445,0.995556,0.914588,0.99863,0.660714,1,0.596019,1]
area_under_roc_curve
0.903488 [0.970968,1,0.837691,0.917222,0.0,0.86011,0.966851,0.784539,0.678571,0.880645,0.879819,0.837171,0.798984,1,0.961644,0.938776,0.644481,1,0.87036,0.996711]
area_under_roc_curve
0.885162 [0.341935,0.995686,0.705592,0.784444,0.96129,0.921875,0.952869,0.782072,0.711039,0.380645,0.76833,0.961349,0.852941,1,0.913832,0.973545,0.848387,1,0.727811,0.990132]
area_under_roc_curve
0.857515 [0.364516,0.993243,0.493464,0.635099,0.0,0.961949,0.959378,0.519737,0.701299,1,0.809524,0.915296,0.739314,0.998889,0.826153,0.989041,0.331169,1,0.785637,0.689145]
area_under_roc_curve
0.88937 [0.309677,1,0.770153,0.841722,0.0,0.859743,0.992768,0.65625,0.659091,0.980645,0.961073,0.853618,0.828819,0.922819,0.848073,1,0.354839,1,0.728349,0.992599]
area_under_roc_curve
0.875971 [0.922581,0.978885,0.908717,0.80596,0.0,0.844301,0.952869,0.569901,0.660714,0.458065,0.928571,0.760691,0.805967,0.993889,0.792123,0.991438,0.864516,1,0.844002,0.717865]
area_under_roc_curve
0.904025 [0.628247,0.996644,0.666118,0.783889,0.0,0.955244,0.990201,0.574836,0.974026,0.812903,0.950491,0.82977,0.82755,1,0.902872,0.986395,0.33871,1,0.790479,1]
area_under_roc_curve
0.862488 [0.595779,0.996622,0.642702,0.649007,0.0,0.953131,0.940212,0.645695,0.933442,0.887097,0.857521,0.785362,0.761532,0.798178,0.859788,0.996599,0.929032,1,0.799892,0.680921]
area_under_roc_curve
0.849605 [0.285714,0.981783,0.764803,0.706667,0.0,0.835294,0.929484,0.905298,0.327922,0.803226,0.798564,0.909539,0.731485,0.981667,0.886621,0.993953,0.309677,1,0.778913,0.996732]
area_under_roc_curve
0.871418 [0.646104,1,0.686678,0.606623,0.0,0.900919,0.955039,0.823841,0.431818,0.409677,0.897203,0.705592,0.730639,0.985556,0.90514,0.934247,0.403226,1,0.912587,1]
area_under_roc_curve
0.873762 [0.548701,0.996622,0.600329,0.695364,0.0,0.86489,0.953592,0.710526,0.438312,1,0.958806,0.888158,0.635209,1,0.920548,0.997603,0.345161,1,0.954814,1]
area_under_roc_curve
0.872888 [0.964516,1,0.388889,0.786111,0.0,0.903676,0.958896,0.652138,0.675325,1,0.943689,0.849507,0.745451,0.817778,0.897959,0.989418,0.693182,1,0.801775,0.855263]
area_under_roc_curve
0.888978 [0.264516,0.996644,0.810033,0.611667,0.958065,0.926471,0.971914,0.650993,0.709416,0.458065,0.933485,0.995066,0.850825,1,0.847317,0.997945,0.358065,1,0.773534,1]
area_under_roc_curve
0.884501 [0.277419,1,0.98366,0.724444,0.0,0.906618,0.959619,0.54523,0.431818,1,0.89607,0.777138,0.780152,0.999444,0.916856,0.939726,0.965909,1,0.856105,0.865132]
area_under_roc_curve
0.885323 [0.351613,0.996199,0.733115,0.623333,0.0,0.963312,0.996143,0.738487,0.344156,1,0.6678,0.804276,0.834109,0.92186,0.792139,0.993151,0.422581,1,0.899408,1]
area_under_roc_curve
0.859605 [0.267742,1,0.639803,0.683333,0.0,0.928676,0.946601,0.728618,0.308442,0.993548,0.793273,0.432566,0.808083,0.879444,0.949358,0.943836,0.903226,1,0.874664,0.582789]
area_under_roc_curve
0.856928 [0.306452,1,0.677632,0.671111,0.467742,0.94564,0.969503,0.424342,0.334416,0.451613,0.794178,0.849507,0.790309,0.996667,0.745276,0.936508,0.894481,1,0.826251,1]
area_under_roc_curve
0.85798 [0.641234,1,0.683007,0.474834,0.0,0.90146,0.942261,0.612583,0.311688,0.996774,0.76644,0.907895,0.768515,0.897891,0.95616,0.990174,0.86129,1,0.821678,0.837993]
area_under_roc_curve
0.868094 [0.592532,1,0.921875,0.936111,0.0,0.877941,0.966128,0.856954,0.511364,0.387097,0.831444,0.805099,0.732332,0.811111,0.752457,1,0.983871,1,0.823561,0.783224]
area_under_roc_curve
0.882807 [0.662338,1,0.346405,0.837748,0.0,0.83511,0.986861,0.689404,0.419355,0.654221,0.896447,0.679276,0.874947,0.999444,0.921391,0.997603,0.893548,1,0.857988,0.690789]
area_under_roc_curve
0.843895 [0.288961,0.999578,0.631579,0.683444,0.0,0.815074,0.983245,0.672697,0.387097,0.474026,0.757748,0.788651,0.709691,0.821111,0.81935,0.989041,0.822581,1,0.871436,0.996732]
area_under_roc_curve
0.888139 [0.944805,0.987753,0.518519,0.873889,0.0,0.886397,0.979147,0.902961,0.641234,0.983871,0.929327,0.652961,0.742912,0.885,0.907785,0.925926,0.925806,1,0.829747,0.98273]
area_under_roc_curve
0.851897 [0.270968,1,0.869281,0.791667,0.451613,0.8125,0.945878,0.72053,0.641234,0.987097,0.786092,0.865954,0.755184,1,0.935752,0.837671,0.290323,1,0.775955,0.993464]
area_under_roc_curve
0.884893 [0.332258,0.993289,0.813725,0.833889,0.454839,0.83511,0.959981,0.785362,0.675325,0.996774,0.911565,0.636513,0.800677,1,0.944067,1,0.909677,1,0.791286,0.993421]
area_under_roc_curve
0.894055 [0.96129,1,0.947712,0.546111,0.0,0.875912,0.966369,0.916941,0.954545,0.445161,0.956164,0.845395,0.819509,0.991371,0.839758,0.939384,0.967742,1,0.878429,0.679276]
area_under_roc_curve
0.875716 [0.312903,0.996199,0.648026,0.910556,0.0,0.849816,0.992406,0.580592,0.357143,0.987097,0.787604,0.615954,0.795176,0.984444,0.953515,0.892466,1,1,0.849112,0.996732]
area_under_roc_curve
0.867562 [0.345161,0.996622,0.923747,0.783889,0.490323,0.788705,0.914417,0.631579,0.435065,0.46129,0.959184,0.862664,0.762378,0.999444,0.928571,0.993836,0.681818,1,0.879505,0.996732]
area_under_roc_curve
0.870958 [0.4,1,0.556645,0.798889,0.46129,0.928928,0.978158,0.546875,1,0.751613,0.863568,0.792763,0.696995,0.99,0.893424,0.993836,0.887987,1,0.755514,0.803922]
area_under_roc_curve
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kb_relative_information_score
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156 [1,7,3,6,1,20,34,4,2,1,9,4,17,6,9,10,2,4,13,3]
number_of_instances
156 [1,8,3,5,1,19,35,4,2,1,9,4,16,6,9,10,2,4,13,4]
number_of_instances
156 [2,7,3,6,1,19,34,4,2,1,9,4,16,7,9,9,2,4,13,4]
number_of_instances
156 [1,7,3,5,1,19,35,5,2,1,9,4,17,7,9,9,1,4,13,4]
number_of_instances
156 [2,7,3,5,1,19,34,5,2,1,9,4,17,7,9,10,1,4,13,3]
number_of_instances
156 [2,8,3,5,0,19,34,4,2,1,9,4,17,7,9,10,2,4,13,3]
number_of_instances
156 [2,8,4,5,1,19,34,5,2,1,9,4,17,7,9,9,1,3,13,3]
number_of_instances
156 [2,7,4,5,1,20,34,5,2,1,9,4,16,6,9,9,2,4,13,3]
number_of_instances
156 [2,8,3,5,1,19,34,4,2,1,9,4,17,7,9,9,2,3,13,4]
number_of_instances
156 [1,8,3,5,1,20,34,5,2,1,9,4,17,6,9,10,1,3,13,4]
number_of_instances
156 [1,7,3,6,1,20,34,4,2,2,9,4,17,6,9,10,1,4,13,3]
number_of_instances
156 [1,8,3,5,1,19,34,4,2,1,9,4,16,7,10,10,2,3,13,4]
number_of_instances
156 [1,7,3,6,1,19,34,4,2,1,9,4,17,7,9,9,2,4,13,4]
number_of_instances
156 [1,7,3,6,1,19,34,5,2,1,10,4,16,7,9,9,1,4,13,4]
number_of_instances
156 [2,7,4,5,1,19,34,5,1,1,9,4,17,7,9,10,1,4,13,3]
number_of_instances
156 [2,8,3,5,0,19,34,4,2,2,9,4,16,7,9,10,1,4,13,4]
number_of_instances
156 [2,8,4,5,1,19,35,5,2,1,9,4,16,7,9,9,1,3,13,3]
number_of_instances
156 [2,8,4,5,1,20,34,5,2,1,9,4,16,6,9,9,2,3,13,3]
number_of_instances
156 [2,7,3,5,1,19,34,5,1,1,9,4,17,7,9,9,2,4,13,4]
number_of_instances
156 [2,8,3,5,0,20,34,5,1,2,9,4,16,7,9,10,1,3,13,4]
number_of_instances
156 [1,8,4,5,1,20,34,4,2,1,10,4,17,6,9,10,1,3,13,3]
number_of_instances
156 [1,8,3,5,1,19,34,4,2,2,9,4,17,7,9,10,1,3,13,4]
number_of_instances
156 [1,7,3,6,1,19,35,4,2,1,9,4,17,7,9,10,1,4,13,3]
number_of_instances
156 [1,7,3,6,1,19,34,5,2,1,9,4,16,7,9,10,1,4,13,4]
precision
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precision
0.579403 [0,1,0,0,0,0.571429,0.790698,0,0,0,0.555556,0,0.45,0.625,0.636364,1,0,1,0.375,0.666667]
precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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0.652374 [0,0.875,0.333333,0.333333,0,0.55,0.891892,0,0,0,0.5,0.5,0.470588,1,0.75,0.9,0,1,0.6,0.75]
precision
0.65917 [1,1,0.166667,0.285714,0,0.52381,0.941176,0.25,0,0,0.428571,0.666667,0.52,0.5,0.666667,1,0,1,0.6,1]
precision
0.62081 [1,1,0,0,0,0.5625,0.891892,0,0,0,0.636364,1,0.375,0.875,0.615385,1,0,1,0.347826,0.571429]
precision
0.641399 [0,0.875,0,0.5,0,0.727273,0.846154,0.333333,0,0,0.384615,0,0.344828,1,0.7,0.888889,0,1,0.666667,1]
precision
0.594639 [0,1,0,0,0,0.529412,0.825,0,0,0,0.375,0,0.3,1,0.833333,0.888889,0,1,0.545455,1]
precision
0.647934 [0,1,0,1,0,0.565217,0.868421,0,0,0,0.3125,0.5,0.529412,0.833333,0.875,1,0,1,0.380952,1]
precision
0.599493 [1,1,1,0,0,0.518519,0.914286,0,0,0,0.333333,0.5,0.26087,0.8,0.636364,0.818182,0,1,0.5,0.5]
precision
0.667707 [0,1,0.5,1,0,0.608696,0.864865,0.2,1,0,0.6,0.5,0.416667,0.666667,1,0.888889,0,1,0.375,0.666667]
precision
0.5984 [0,0.8,0,0.25,0,0.666667,0.861111,0,0,0,0.555556,0.333333,0.375,0.625,0.571429,1,0,1,0.428571,0.666667]
precision
0.712789 [0.333333,1,0,0.75,0,0.5,0.967742,0.333333,0,0,0.545455,0.75,0.722222,0.857143,1,1,0,1,0.4,0.6]
precision
0.71571 [0,1,0.333333,0.333333,0,0.555556,0.868421,0,0.5,0,0.875,1,0.545455,0.857143,0.7,1,0,1,0.727273,1]
precision
0.670324 [0,0.875,0,0.5,0,0.681818,0.942857,0.333333,0,0,0.5,0.5,0.526316,0.75,0.636364,0.909091,0,1,0.526316,0.6]
precision
0.65599 [0,1,0,0,0,0.652174,0.891892,0.5,1,0,0.363636,1,0.333333,0.666667,0.538462,1,1,1,0.538462,1]
predictive_accuracy
0.685897
predictive_accuracy
0.653846
predictive_accuracy
0.641026
predictive_accuracy
0.692308
predictive_accuracy
0.653846
predictive_accuracy
0.705128
predictive_accuracy
0.634615
predictive_accuracy
0.647436
predictive_accuracy
0.724359
predictive_accuracy
0.679487
predictive_accuracy
0.679487
predictive_accuracy
0.673077
predictive_accuracy
0.602564
predictive_accuracy
0.666667
predictive_accuracy
0.628205
predictive_accuracy
0.698718
predictive_accuracy
0.75
predictive_accuracy
0.647436
predictive_accuracy
0.717949
predictive_accuracy
0.660256
predictive_accuracy
0.660256
predictive_accuracy
0.705128
predictive_accuracy
0.705128
predictive_accuracy
0.615385
predictive_accuracy
0.653846
predictive_accuracy
0.679487
predictive_accuracy
0.679487
predictive_accuracy
0.698718
predictive_accuracy
0.641026
predictive_accuracy
0.673077
predictive_accuracy
0.692308
predictive_accuracy
0.685897
predictive_accuracy
0.647436
predictive_accuracy
0.705128
predictive_accuracy
0.641026
predictive_accuracy
0.717949
predictive_accuracy
0.621795
predictive_accuracy
0.660256
predictive_accuracy
0.660256
predictive_accuracy
0.679487
predictive_accuracy
0.679487
predictive_accuracy
0.698718
predictive_accuracy
0.692308
predictive_accuracy
0.74359
predictive_accuracy
0.660256
predictive_accuracy
0.666667
predictive_accuracy
0.660256
predictive_accuracy
0.641026
predictive_accuracy
0.717949
predictive_accuracy
0.628205
predictive_accuracy
0.698718
predictive_accuracy
0.660256
predictive_accuracy
0.660256
predictive_accuracy
0.717949
predictive_accuracy
0.666667
predictive_accuracy
0.705128
predictive_accuracy
0.679487
predictive_accuracy
0.660256
predictive_accuracy
0.634615
predictive_accuracy
0.692308
predictive_accuracy
0.679487
predictive_accuracy
0.641026
predictive_accuracy
0.705128
predictive_accuracy
0.641026
predictive_accuracy
0.685897
predictive_accuracy
0.647436
predictive_accuracy
0.666667
predictive_accuracy
0.673077
predictive_accuracy
0.641026
predictive_accuracy
0.673077
predictive_accuracy
0.666667
predictive_accuracy
0.660256
predictive_accuracy
0.666667
predictive_accuracy
0.653846
predictive_accuracy
0.666667
predictive_accuracy
0.634615
predictive_accuracy
0.602564
predictive_accuracy
0.692308
predictive_accuracy
0.673077
predictive_accuracy
0.608974
predictive_accuracy
0.666667
predictive_accuracy
0.660256
predictive_accuracy
0.666667
predictive_accuracy
0.653846
predictive_accuracy
0.673077
predictive_accuracy
0.666667
predictive_accuracy
0.666667
predictive_accuracy
0.685897
predictive_accuracy
0.660256
predictive_accuracy
0.666667
predictive_accuracy
0.653846
predictive_accuracy
0.628205
predictive_accuracy
0.660256
predictive_accuracy
0.628205
predictive_accuracy
0.673077
predictive_accuracy
0.641026
predictive_accuracy
0.717949
predictive_accuracy
0.724359
predictive_accuracy
0.711538
predictive_accuracy
0.666667
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
recall
0.685897 [1,1,0.5,0.4,0,0.65,0.941176,0,0,0,0.3,0.5,0.625,0.714286,0.555556,1,0,1,0.769231,0.333333]
recall
0.653846 [0,1,0,0,0,0.631579,0.971429,0,0,0,0.555556,0,0.5625,0.833333,0.7,1,0,1,0.461538,0.5]
recall
0.641026 [0,1,0,0,0,0.736842,0.911765,0.2,0,0,0.333333,0,0.625,1,0.6,1,0,1,0.384615,0.666667]
recall
0.692308 [0,0.875,0,0.4,0,0.75,0.970588,0,0,0,0.777778,0,0.647059,0.666667,0.7,1,0,1,0.461538,1]
recall
0.653846 [0,1,0,0,0,0.578947,0.941176,0.4,0,0,0.6,0.5,0.470588,1,0.555556,1,1,1,0.384615,0.75]
recall
0.705128 [0,1,0,0.6,0,0.7,0.970588,0,0,0,0.444444,0.25,0.5,0.857143,0.888889,0.9,0,1,0.769231,0.5]
recall
0.634615 [0,1,0,0.4,0,0.65,0.941176,0,1,0,0.333333,0.25,0.3125,0.857143,0.7,0.9,0,1,0.538462,0.5]
recall
0.647436 [0,0.875,0,0.4,0,0.75,0.970588,0,0,0,0.555556,0,0.588235,1,0.666667,0.8,0,0.666667,0.230769,0.75]
recall
0.724359 [0,0.875,0.333333,0.2,0,0.85,1,0.25,0,0,0.7,0,0.470588,0.857143,0.666667,1,0,1,0.769231,0.333333]
recall
0.679487 [0,0.875,0,0.333333,0,0.736842,1,0.25,0,0,0.666667,0.25,0.411765,1,0.666667,1,0,1,0.384615,0.75]
recall
0.679487 [0,1,0,0,0,0.7,0.942857,0.25,0,0,0.333333,0.5,0.4375,0.857143,1,1,0,1,0.538462,0.75]
recall
0.673077 [0,1,0,0.2,0,0.95,0.882353,0.25,0,0,0.8,0,0.470588,0.666667,0.444444,1,0,1,0.384615,1]
recall
0.602564 [0,0.875,0,0.2,0,0.684211,0.882353,0,0,0,0.3,0.25,0.411765,0.833333,0.666667,1,0,0.75,0.384615,0.75]
recall
0.666667 [0,1,0,0.4,0,0.85,0.942857,0,0,0,0.333333,0.5,0.411765,0.857143,0.777778,0.9,0,1,0.384615,0.666667]
recall
0.628205 [0,1,0.333333,0.2,0,0.75,0.970588,0.2,0,0,0.555556,0,0.294118,0.714286,0.888889,0.8,0,1,0.307692,0.333333]
recall
0.698718 [0.5,1,0,0.4,0,0.85,0.970588,0,0,0,0.222222,0,0.647059,0.857143,0.777778,0.9,0,0.75,0.615385,0.75]
recall
0.75 [0,1,0.25,0.6,0,0.85,0.911765,0.2,0,0,0.444444,0.75,0.625,0.857143,1,0.8,0,1,0.692308,1]
recall
0.647436 [0,1,0,0.4,0,0.9,0.794118,0,0,0,0.333333,0.25,0.294118,1,0.888889,0.9,0,1,0.461538,0.75]
recall
0.717949 [0,1,0.25,0,0,0.75,0.970588,0,0,0,0.666667,0.75,0.588235,1,0.555556,0.9,0,0.75,0.846154,0.666667]
recall
0.660256 [0,1,0,0.166667,0,0.7,0.970588,0,0.5,0,0.444444,0.5,0.352941,1,0.555556,1,0,0.666667,0.769231,0.333333]
recall
0.660256 [1,1,0,0.4,0,0.65,0.852941,0,0,0,0.444444,0.5,0.588235,1,0.444444,0.9,0,1,0.769231,0.5]
recall
0.705128 [0,1,0,0.2,0,0.75,0.882353,0.5,0,0,0.555556,0.5,0.647059,1,0.777778,1,0,1,0.538462,0.75]
recall
0.705128 [0,0.875,0.333333,0.2,0,0.75,0.970588,0,0,0,0.777778,0.25,0.647059,0.666667,0.444444,0.9,0.5,1,0.615385,1]
recall
0.615385 [0,1,0,0.6,0,0.55,0.794118,0,0,0,0.666667,0.25,0.411765,1,0.444444,1,0,1,0.384615,0.75]
recall
0.653846 [0,1,0,0,0,0.6,0.882353,0,0,0,0.555556,0.25,0.470588,1,0.666667,1,0,1,0.692308,1]
recall
0.679487 [0,1,0.5,0.166667,0,0.55,1,0,0,0,0.444444,0.25,0.529412,0.714286,0.888889,0.888889,0,1,0.769231,0.666667]
recall
0.679487 [0,1,0.333333,0.2,0,0.789474,1,0,0.5,0,0.333333,0,0.352941,0.857143,0.888889,0.777778,0,1,0.692308,0.75]
recall
0.698718 [0,1,0.666667,0.166667,0,0.8,0.911765,0,0,0,0.444444,0.25,0.588235,0.857143,0.666667,0.9,0,1,0.692308,0.666667]
recall
0.641026 [0,1,0,0.4,0,0.7,0.941176,0,0,0,0.555556,0.25,0.411765,0.833333,0.444444,1,0,1,0.384615,1]
recall
0.673077 [0,1,0.25,0.6,0,0.85,0.970588,0,0,0,0.444444,0,0.529412,1,0.777778,0.9,0,1,0.153846,1]
recall
0.692308 [0,0.875,0,0.5,0,0.75,0.911765,0.25,0,0,0.666667,0.5,0.470588,1,0.7,0.888889,0,1,0.538462,1]
recall
0.685897 [0,0.857143,0,0.166667,0,0.8,0.970588,0.25,0.5,0,0.666667,0.5,0.529412,1,0.666667,0.777778,0,1,0.461538,0.75]
recall
0.647436 [0,1,0,0,0,0.85,0.970588,0,0,0,0.444444,0.25,0.352941,1,0.666667,0.8,0,1,0.461538,0.5]
recall
0.705128 [0,1,0.333333,0.6,0,0.75,0.941176,0.25,0,0,0.777778,0.5,0.470588,0.857143,0.666667,1,0,1,0.307692,0.75]
recall
0.641026 [0,0.875,0,0.6,0,0.65,0.941176,0,0,0,0.444444,0,0.647059,1,0.5,0.9,0,1,0.384615,0.333333]
recall
0.717949 [0,1,0.25,0.5,0,0.842105,0.942857,0.25,0.5,0,0.666667,0.25,0.588235,1,0.555556,1,0,1,0.384615,1]
recall
0.621795 [0,1,0,0.2,0,0.789474,0.911765,0,0,0,0.444444,0,0.529412,0.714286,0.333333,1,0,1,0.461538,0.5]
recall
0.660256 [0,0.857143,0,0.333333,0,0.7,0.911765,0.2,0,0,0.444444,0.25,0.470588,1,0.777778,1,0,1,0.538462,1]
recall
0.660256 [0,1,0,0.4,0,0.8,0.823529,0.2,0,0,0.444444,0.25,0.470588,0.833333,0.777778,0.8,0,1,0.692308,1]
recall
0.679487 [0,1,0,0.6,0,0.8,0.794118,0.25,0,0,0.888889,0.25,0.117647,1,0.8,0.9,0,1,0.846154,1]
recall
0.679487 [0,1,0,0.5,0,0.8,0.941176,0.25,0,0,0.555556,0.25,0.588235,0.666667,0.666667,0.888889,0,1,0.384615,0.75]
recall
0.698718 [0,1,0,0.333333,0,0.7,0.941176,0.2,0.5,0,0.444444,0.75,0.588235,1,0.777778,0.9,0,1,0.538462,1]
recall
0.692308 [0,1,0,0.5,0,0.65,0.941176,0.25,0,0,0.555556,0.25,0.470588,1,0.777778,0.7,0,1,0.846154,0.75]
recall
0.74359 [0,1,0.333333,0.5,0,0.842105,1,0.5,0,0,0.444444,0.25,0.588235,0.857143,0.666667,0.8,0,1,0.692308,1]
recall
0.660256 [0,1,0,0.333333,0,0.85,0.911765,0,0,0,0.333333,0,0.529412,0.833333,0.777778,0.9,0,1,0.538462,0.333333]
recall
0.666667 [0,1,0.25,0.166667,0,0.894737,0.911765,0,0,0,0.6,0.25,0.411765,1,0.555556,0.888889,0,1,0.538462,1]
recall
0.660256 [0,1,0.333333,0,0,0.894737,0.911765,0,0,0,0.444444,0,0.411765,0.857143,0.888889,0.777778,0,1,0.538462,0.75]
recall
0.641026 [0,1,0,0.333333,0,0.55,0.941176,0.4,0,0,0.444444,0.25,0.529412,0.666667,0.666667,1,0,1,0.538462,0.666667]
recall
0.717949 [0,0.875,0,0.2,0,0.75,0.970588,0.4,0,0,0.666667,0,0.647059,1,0.888889,1,0,1,0.615385,0.5]
recall
0.628205 [0,0.875,0,0.2,0,0.6,0.970588,0,0,0,0.222222,0.25,0.470588,0.666667,0.555556,0.8,0,1,0.769231,1]
recall
0.698718 [0,0.875,0,0.833333,0,0.75,0.970588,0,0.5,0,0.555556,0,0.529412,0.833333,0.888889,0.777778,0,1,0.538462,0.75]
recall
0.660256 [0,1,0,0.5,0,0.75,0.941176,0,0,0,0.555556,0.25,0.411765,1,0.666667,0.7,0,1,0.615385,0.666667]
recall
0.660256 [0,1,0,0.333333,0,0.7,0.882353,0.75,0,0,0.333333,0,0.352941,1,0.666667,1,0,1,0.615385,1]
recall
0.717949 [0,1,0,0.166667,0,0.736842,0.941176,0.25,0,0,0.8,0.5,0.588235,1,0.666667,0.9,0,1,0.692308,0.5]
recall
0.666667 [0,0.875,0,0.333333,0,0.6,1,0.25,0,0,0.333333,0.25,0.529412,0.666667,0.666667,0.8,1,1,0.692308,1]
recall
0.705128 [0,1,0,0.166667,0,0.578947,0.882353,0.25,0,0,0.777778,0.75,0.529412,0.833333,0.888889,0.9,0,1,0.846154,1]
recall
0.679487 [0,1,0,0.333333,0,0.842105,0.914286,0.25,1,0,0.555556,0.25,0.411765,1,0.666667,1,0,1,0.384615,0.666667]
recall
0.660256 [0,1,0,0.333333,0,0.75,0.911765,0.4,0,0,0.555556,0.5,0.470588,0.833333,0.555556,0.888889,0,1,0.461538,1]
recall
0.634615 [0,0.875,0,0.4,0,0.5,0.911765,0.25,0,0,0.333333,0.25,0.647059,0.833333,0.7,0.9,0,1,0.461538,0.75]
recall
0.692308 [0,0.875,0,0.2,0,0.8,0.941176,0,0,0,0.444444,0.5,0.588235,0.857143,0.888889,1,0,1,0.538462,0.333333]
recall
0.679487 [0,1,0,0.333333,0,0.736842,0.941176,0.25,0,0,0.333333,0.5,0.588235,1,0.666667,1,0,0.75,0.461538,1]
recall
0.641026 [0,0.857143,0,0.166667,0,0.7,0.970588,0,0,0,0.222222,0.75,0.470588,0.857143,0.666667,0.8,0,1,0.538462,1]
recall
0.705128 [0.5,1,0.333333,0.333333,0,0.75,0.941176,0.5,1,0,0.555556,0,0.470588,1,0.555556,1,0,1,0.615385,0.666667]
recall
0.641026 [0,0.857143,0.333333,0.333333,0,0.526316,0.941176,0,0,0,0.555556,0.5,0.352941,0.833333,0.888889,0.9,0,1,0.538462,0.75]
recall
0.685897 [0,1,0,0.166667,0,0.8,0.941176,0,0.5,0,0.444444,0.25,0.625,0.833333,0.777778,1,0,1,0.461538,0.75]
recall
0.647436 [0,1,0.333333,0.2,0,0.789474,0.911765,0.25,0.5,0,0.777778,0,0.352941,0.833333,0.5,0.9,0,1,0.538462,0]
recall
0.666667 [0,1,0,0,0,0.8,0.882353,0.25,0,0,0.555556,0.5,0.705882,0.833333,0.555556,1,0,0.75,0.384615,1]
recall
0.673077 [1,1,0,0.4,0,0.736842,0.852941,0,0,0,0.8,0,0.529412,1,0.777778,0.9,0,1,0.538462,0.666667]
recall
0.641026 [0,1,0,0.333333,0,0.789474,0.911765,0.25,0,0,0.444444,0.25,0.375,0.857143,0.777778,0.777778,0,1,0.461538,0.75]
recall
0.673077 [1,1,0,0.8,0,0.55,0.911765,0,0.5,0,0.555556,0.25,0.588235,0.571429,0.666667,0.888889,0,1,0.692308,0.75]
recall
0.666667 [0,1,0,0,0,0.894737,0.911765,0,0,0,0.777778,0.25,0.411765,0.714286,0.777778,1,0,1,0.384615,1]
recall
0.660256 [0,1,0,0.4,0,0.894737,0.882353,0,0,0,0.444444,0.5,0.411765,0.857143,0.777778,0.8,0,1,0.461538,0.666667]
recall
0.666667 [0,1,0.333333,0.5,0,0.65,0.882353,0.2,0,0,0.555556,0.5,0.470588,0.857143,0.666667,0.888889,0,1,0.538462,1]
recall
0.653846 [0,1,0.333333,0.166667,0,0.736842,0.941176,0,0,0,0.444444,0,0.470588,1,0.666667,0.666667,0,0.75,0.923077,0.666667]
recall
0.666667 [0,1,0.333333,0.166667,0,0.842105,0.914286,0.25,0,0,0.444444,0.25,0.5625,0.833333,0.333333,0.8,0,1,0.615385,1]
recall
0.634615 [0,0.75,0,0,0,0.75,0.941176,0,0,0,0.111111,0.25,0.647059,1,0.666667,0.8,1,1,0.384615,1]
recall
0.602564 [0,0.857143,0.333333,0.333333,0,0.6,0.882353,0,0,0,0.333333,0,0.294118,0.833333,0.888889,0.9,0,1,0.461538,1]
recall
0.692308 [0,1,0,0.4,0,0.894737,0.942857,0.25,0.5,0,0.555556,0.25,0.4375,1,0.777778,0.9,0,1,0.384615,0.5]
recall
0.673077 [0,1,0,0.333333,0,0.736842,0.970588,0,0,0,0.555556,0.5,0.3125,1,0.777778,0.777778,0.5,1,0.615385,0.75]
recall
0.608974 [0,1,0,0.2,0,0.631579,0.914286,0,0,0,0.444444,0,0.588235,0.857143,0.666667,0.777778,0,1,0.230769,0.75]
recall
0.666667 [0,1,0.333333,0.4,0,0.789474,0.941176,0.2,0,0,0.555556,0,0.235294,0.857143,0.666667,1,0,1,0.615385,1]
recall
0.660256 [0.5,0.875,0.666667,0.4,0,0.684211,0.941176,0,0.5,0,0.666667,0.25,0.294118,0.714286,0.555556,1,0,1,0.538462,0.666667]
recall
0.666667 [0,0.875,0,0.2,0,0.631579,0.970588,0.2,0,0,0.666667,0,0.529412,0.571429,1,0.888889,0,1,0.692308,0.666667]
recall
0.653846 [0,1,0.25,0,0,0.6,0.941176,0.4,0,0,0.444444,0,0.625,0.833333,0.888889,0.888889,0,1,0.461538,1]
recall
0.673077 [0,1,0,0.6,0,0.631579,0.941176,0,0,0,0.777778,0.25,0.352941,0.857143,0.777778,1,0.5,0.666667,0.538462,1]
recall
0.666667 [0,0.875,0,1,0,0.7,0.941176,0.2,0,0,0.333333,0.5,0.411765,0.833333,0.555556,0.8,0,1,0.692308,0.75]
recall
0.666667 [0,0.857143,0,0.5,0,0.7,0.941176,0.25,0,0,0.444444,0.5,0.470588,0.833333,0.444444,0.9,0,1,0.769231,0.666667]
recall
0.685897 [0,0.875,0.333333,0.2,0,0.578947,0.970588,0,0,0,0.777778,0.25,0.5,0.714286,0.9,0.9,0,1,0.692308,0.75]
recall
0.660256 [1,1,0.333333,0.333333,0,0.578947,0.941176,0.25,0,0,0.333333,0.5,0.764706,0.857143,0.444444,1,0,1,0.230769,1]
recall
0.666667 [1,1,0,0,0,0.473684,0.970588,0,0,0,0.7,0.25,0.375,1,0.888889,1,0,1,0.615385,1]
recall
0.653846 [0,1,0,0.4,0,0.421053,0.970588,0.2,0,0,0.555556,0,0.588235,1,0.777778,0.8,0,1,0.615385,0.666667]
recall
0.628205 [0,1,0,0,0,0.473684,0.970588,0,0,0,0.333333,0,0.5625,0.714286,0.555556,0.8,0,0.75,0.923077,0.75]
recall
0.660256 [0,1,0,0.2,0,0.684211,0.942857,0,0,0,0.555556,0.25,0.5625,0.714286,0.777778,0.888889,0,1,0.615385,0.666667]
recall
0.628205 [0.5,1,0.25,0,0,0.7,0.941176,0,0,0,0.444444,0.25,0.375,0.666667,0.777778,1,0,1,0.461538,0.666667]
recall
0.673077 [0,1,0.333333,0.4,0,0.736842,0.941176,0.2,1,0,0.666667,0.5,0.294118,0.857143,0.666667,0.888889,0,1,0.461538,1]
recall
0.641026 [0,1,0,0.4,0,0.6,0.911765,0,0,0,0.555556,0.25,0.375,0.714286,0.444444,1,0,1,0.692308,1]
recall
0.717949 [1,1,0,0.6,0,0.7,0.882353,0.25,0,0,0.6,0.75,0.764706,1,0.555556,1,0,1,0.461538,1]
recall
0.724359 [0,1,0.333333,0.4,0,0.526316,0.970588,0,0.5,0,0.777778,0.5,0.705882,0.857143,0.777778,0.9,0,1,0.615385,1]
recall
0.711538 [0,1,0,0.166667,0,0.789474,0.942857,0.25,0,0,0.333333,0.25,0.588235,0.857143,0.777778,1,0,1,0.769231,1]
recall
0.666667 [0,1,0,0,0,0.789474,0.970588,0.2,0.5,0,0.444444,0.25,0.5625,0.571429,0.777778,0.8,1,1,0.538462,0.5]
relative_absolute_error
0.419199
relative_absolute_error
0.470314
relative_absolute_error
0.489014
relative_absolute_error
0.397027
relative_absolute_error
0.461103
relative_absolute_error
0.421957
relative_absolute_error
0.484927
relative_absolute_error
0.462685
relative_absolute_error
0.404708
relative_absolute_error
0.437268
relative_absolute_error
0.432685
relative_absolute_error
0.441738
relative_absolute_error
0.486265
relative_absolute_error
0.518371
relative_absolute_error
0.483908
relative_absolute_error
0.42821
relative_absolute_error
0.325273
relative_absolute_error
0.472622
relative_absolute_error
0.411253
relative_absolute_error
0.429702
relative_absolute_error
0.450925
relative_absolute_error
0.430168
relative_absolute_error
0.410286
relative_absolute_error
0.4995
relative_absolute_error
0.465367
relative_absolute_error
0.444053
relative_absolute_error
0.43745
relative_absolute_error
0.424837
relative_absolute_error
0.518783
relative_absolute_error
0.453672
relative_absolute_error
0.423139
relative_absolute_error
0.426626
relative_absolute_error
0.474987
relative_absolute_error
0.397133
relative_absolute_error
0.479388
relative_absolute_error
0.407732
relative_absolute_error
0.529775
relative_absolute_error
0.504911
relative_absolute_error
0.453086
relative_absolute_error
0.445282
relative_absolute_error
0.416899
relative_absolute_error
0.423398
relative_absolute_error
0.436151
relative_absolute_error
0.400842
relative_absolute_error
0.494938
relative_absolute_error
0.446653
relative_absolute_error
0.472946
relative_absolute_error
0.513174
relative_absolute_error
0.40388
relative_absolute_error
0.495857
relative_absolute_error
0.467615
relative_absolute_error
0.477069
relative_absolute_error
0.463794
relative_absolute_error
0.403238
relative_absolute_error
0.447367
relative_absolute_error
0.397287
relative_absolute_error
0.44777
relative_absolute_error
0.470751
relative_absolute_error
0.478974
relative_absolute_error
0.46039
relative_absolute_error
0.469401
relative_absolute_error
0.453354
relative_absolute_error
0.392791
relative_absolute_error
0.482353
relative_absolute_error
0.435811
relative_absolute_error
0.492621
relative_absolute_error
0.470318
relative_absolute_error
0.42308
relative_absolute_error
0.522181
relative_absolute_error
0.449061
relative_absolute_error
0.473977
relative_absolute_error
0.490794
relative_absolute_error
0.444881
relative_absolute_error
0.473671
relative_absolute_error
0.438317
relative_absolute_error
0.47027
relative_absolute_error
0.507312
relative_absolute_error
0.445023
relative_absolute_error
0.439745
relative_absolute_error
0.509201
relative_absolute_error
0.475961
relative_absolute_error
0.453322
relative_absolute_error
0.450956
relative_absolute_error
0.480748
relative_absolute_error
0.479567
relative_absolute_error
0.445952
relative_absolute_error
0.50802
relative_absolute_error
0.438378
relative_absolute_error
0.425649
relative_absolute_error
0.504526
relative_absolute_error
0.456025
relative_absolute_error
0.520992
relative_absolute_error
0.462509
relative_absolute_error
0.481418
relative_absolute_error
0.405788
relative_absolute_error
0.467004
relative_absolute_error
0.380081
relative_absolute_error
0.359552
relative_absolute_error
0.421376
relative_absolute_error
0.437878
root_mean_prior_squared_error
0.211971
root_mean_prior_squared_error
0.211835
root_mean_prior_squared_error
0.212094
root_mean_prior_squared_error
0.211863
root_mean_prior_squared_error
0.212074
root_mean_prior_squared_error
0.211974
root_mean_prior_squared_error
0.211932
root_mean_prior_squared_error
0.211873
root_mean_prior_squared_error
0.211798
root_mean_prior_squared_error
0.212038
root_mean_prior_squared_error
0.21169
root_mean_prior_squared_error
0.211915
root_mean_prior_squared_error
0.212004
root_mean_prior_squared_error
0.211587
root_mean_prior_squared_error
0.211911
root_mean_prior_squared_error
0.21191
root_mean_prior_squared_error
0.211977
root_mean_prior_squared_error
0.211855
root_mean_prior_squared_error
0.211874
root_mean_prior_squared_error
0.211905
root_mean_prior_squared_error
0.211927
root_mean_prior_squared_error
0.211971
root_mean_prior_squared_error
0.211902
root_mean_prior_squared_error
0.211852
root_mean_prior_squared_error
0.211911
root_mean_prior_squared_error
0.211954
root_mean_prior_squared_error
0.212076
root_mean_prior_squared_error
0.211837
root_mean_prior_squared_error
0.211874
root_mean_prior_squared_error
0.211925
root_mean_prior_squared_error
0.211891
root_mean_prior_squared_error
0.211992
root_mean_prior_squared_error
0.211902
root_mean_prior_squared_error
0.211852
root_mean_prior_squared_error
0.211829
root_mean_prior_squared_error
0.211815
root_mean_prior_squared_error
0.212076
root_mean_prior_squared_error
0.211974
root_mean_prior_squared_error
0.211895
root_mean_prior_squared_error
0.21185
root_mean_prior_squared_error
0.211943
root_mean_prior_squared_error
0.211926
root_mean_prior_squared_error
0.211923
root_mean_prior_squared_error
0.211988
root_mean_prior_squared_error
0.211865
root_mean_prior_squared_error
0.212113
root_mean_prior_squared_error
0.212076
root_mean_prior_squared_error
0.211974
root_mean_prior_squared_error
0.2119
root_mean_prior_squared_error
0.211909
root_mean_prior_squared_error
0.211941
root_mean_prior_squared_error
0.211895
root_mean_prior_squared_error
0.211931
root_mean_prior_squared_error
0.211974
root_mean_prior_squared_error
0.211865
root_mean_prior_squared_error
0.212066
root_mean_prior_squared_error
0.211813
root_mean_prior_squared_error
0.211983
root_mean_prior_squared_error
0.211861
root_mean_prior_squared_error
0.211884
root_mean_prior_squared_error
0.212065
root_mean_prior_squared_error
0.21189
root_mean_prior_squared_error
0.211905
root_mean_prior_squared_error
0.212076
root_mean_prior_squared_error
0.212034
root_mean_prior_squared_error
0.212031
root_mean_prior_squared_error
0.211952
root_mean_prior_squared_error
0.212062
root_mean_prior_squared_error
0.212283
root_mean_prior_squared_error
0.211971
root_mean_prior_squared_error
0.212085
root_mean_prior_squared_error
0.212021
root_mean_prior_squared_error
0.211955
root_mean_prior_squared_error
0.212175
root_mean_prior_squared_error
0.211893
root_mean_prior_squared_error
0.211903
root_mean_prior_squared_error
0.211952
root_mean_prior_squared_error
0.211919
root_mean_prior_squared_error
0.212283
root_mean_prior_squared_error
0.211832
root_mean_prior_squared_error
0.212085
root_mean_prior_squared_error
0.212046
root_mean_prior_squared_error
0.212109
root_mean_prior_squared_error
0.212169
root_mean_prior_squared_error
0.212136
root_mean_prior_squared_error
0.211903
root_mean_prior_squared_error
0.211954
root_mean_prior_squared_error
0.212131
root_mean_prior_squared_error
0.212136
root_mean_prior_squared_error
0.21218
root_mean_prior_squared_error
0.21207
root_mean_prior_squared_error
0.212175
root_mean_prior_squared_error
0.211943
root_mean_prior_squared_error
0.212131
root_mean_prior_squared_error
0.212149
root_mean_prior_squared_error
0.211999
root_mean_prior_squared_error
0.21186
root_mean_prior_squared_error
0.21206
root_mean_prior_squared_error
0.211763
root_mean_prior_squared_error
0.212175
root_mean_squared_error
0.158838
root_mean_squared_error
0.162139
root_mean_squared_error
0.164104
root_mean_squared_error
0.160371
root_mean_squared_error
0.157827
root_mean_squared_error
0.151957
root_mean_squared_error
0.164867
root_mean_squared_error
0.160115
root_mean_squared_error
0.140166
root_mean_squared_error
0.158175
root_mean_squared_error
0.154336
root_mean_squared_error
0.157225
root_mean_squared_error
0.181564
root_mean_squared_error
0.157929
root_mean_squared_error
0.165897
root_mean_squared_error
0.153218
root_mean_squared_error
0.144959
root_mean_squared_error
0.161297
root_mean_squared_error
0.152481
root_mean_squared_error
0.164521
root_mean_squared_error
0.160773
root_mean_squared_error
0.146222
root_mean_squared_error
0.151689
root_mean_squared_error
0.169215
root_mean_squared_error
0.161341
root_mean_squared_error
0.156835
root_mean_squared_error
0.157856
root_mean_squared_error
0.151002
root_mean_squared_error
0.161713
root_mean_squared_error
0.157002
root_mean_squared_error
0.150658
root_mean_squared_error
0.152851
root_mean_squared_error
0.164231
root_mean_squared_error
0.14916
root_mean_squared_error
0.166274
root_mean_squared_error
0.149853
root_mean_squared_error
0.166711
root_mean_squared_error
0.164101
root_mean_squared_error
0.16138
root_mean_squared_error
0.159916
root_mean_squared_error
0.154263
root_mean_squared_error
0.152851
root_mean_squared_error
0.15499
root_mean_squared_error
0.143999
root_mean_squared_error
0.15996
root_mean_squared_error
0.160789
root_mean_squared_error
0.157883
root_mean_squared_error
0.160416
root_mean_squared_error
0.149953
root_mean_squared_error
0.168314
root_mean_squared_error
0.149977
root_mean_squared_error
0.157043
root_mean_squared_error
0.158526
root_mean_squared_error
0.149663
root_mean_squared_error
0.158462
root_mean_squared_error
0.158757
root_mean_squared_error
0.159179
root_mean_squared_error
0.161919
root_mean_squared_error
0.169696
root_mean_squared_error
0.151421
root_mean_squared_error
0.156637
root_mean_squared_error
0.170761
root_mean_squared_error
0.15229
root_mean_squared_error
0.164539
root_mean_squared_error
0.156512
root_mean_squared_error
0.162929
root_mean_squared_error
0.157725
root_mean_squared_error
0.161731
root_mean_squared_error
0.160834
root_mean_squared_error
0.157759
root_mean_squared_error
0.153766
root_mean_squared_error
0.156147
root_mean_squared_error
0.151976
root_mean_squared_error
0.16461
root_mean_squared_error
0.166189
root_mean_squared_error
0.162391
root_mean_squared_error
0.168681
root_mean_squared_error
0.154746
root_mean_squared_error
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