185534
2
Joaquin Vanschoren
4238
Supervised Classification
predictive_accuracy
1077
weka.REPTree(9)
1847
weka.classifiers.trees.REPTree -- -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0
M
2
1077
V
0.001
1077
N
3
1077
S
1
1077
L
-1
1077
I
0.0
1077
weka
weka_3.7.12
398
wap.wc
https://www.openml.org/data/download/52510/wap.wc.arff
-1
613964
description
https://api.openml.org/data/download/613964/weka_generated_run8336268542290715079.xml
-1
613967
model_readable
https://api.openml.org/data/download/613967/WekaModel_weka.classifiers.trees.REPTree2789885590158377769.model
-1
613966
model_serialized
https://api.openml.org/data/download/613966/WekaSerialized_weka.classifiers.trees.REPTree5658018604920907745.model
-1
613965
predictions
https://api.openml.org/data/download/613965/weka_generated_predictions6485464122610479763.arff
area_under_roc_curve
0.870291 [0.588932,0.9935,0.729038,0.758816,0.502378,0.869403,0.968522,0.663875,0.653276,0.609498,0.815576,0.747928,0.784236,0.954283,0.922702,0.98744,0.648756,0.978179,0.787833,0.934792]
average_cost
0
f_measure
0.614365 [0.020833,0.957377,0.08656,0.349776,0,0.598131,0.883343,0.146552,0.018605,0,0.418224,0.355109,0.451014,0.803127,0.697649,0.786486,0.041667,0.935933,0.427401,0.788856]
kappa
0.59298
kb_relative_information_score
8740.162718
mean_absolute_error
0.046274
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
0.603458 [0.047619,0.954248,0.174312,0.443182,0,0.530387,0.846319,0.199219,0.057143,0,0.446384,0.538071,0.439548,0.746367,0.694233,0.6984,0.214286,0.965517,0.414141,0.810241]
predictive_accuracy
0.638077
prior_entropy
3.738083
recall
0.638077 [0.013333,0.960526,0.057576,0.288889,0,0.685714,0.923754,0.115909,0.011111,0,0.393407,0.265,0.463095,0.869231,0.701099,0.9,0.023077,0.908108,0.441538,0.768571]
relative_absolute_error
0.51459
root_mean_prior_squared_error
0.211967
root_mean_squared_error
0.162042
root_relative_squared_error
0.764471
scimark_benchmark
1066.718432 [769.4047143262483, 699.439175301466, 403.51064209415694, 1059.5958060841647, 2401.6418218213535]
total_cost
0
usercpu_time_millis
49480
usercpu_time_millis_testing
10
usercpu_time_millis_training
49470
area_under_roc_curve
0.884306 [0.270968,1,0.887336,0.787417,0.445161,0.843015,0.992165,0.464901,0.822581,0.429032,0.940411,0.716283,0.849777,0.965964,0.963719,0.996918,0.893548,1,0.731307,0.969499]
area_under_roc_curve
0.86374 [0.37013,1,0.672113,0.483444,0.0,0.889358,0.960331,0.783717,0.642857,0.425806,0.807256,0.738487,0.714732,0.892778,0.978425,0.999658,0.941935,1,0.887843,0.734375]
area_under_roc_curve
0.895905 [0.311688,1,0.821546,0.662252,0.0,0.954284,0.98662,0.684768,0.431818,0.896774,0.950491,0.573191,0.922545,0.923778,0.963356,0.989726,0.932258,1,0.752017,0.788671]
area_under_roc_curve
0.880714 [0.582792,1,0.657072,0.83245,0.429032,0.837316,0.979629,0.71875,0.245161,0.358065,0.868103,0.703947,0.811257,0.992222,0.979795,0.997603,0.403226,1,0.841044,0.996732]
area_under_roc_curve
0.847197 [0.298701,1,0.649237,0.68543,0.46129,0.789858,0.969503,0.754967,0.993548,0.393548,0.767808,0.799342,0.768303,0.996644,0.851852,1,0.880645,1,0.702797,1]
area_under_roc_curve
0.893624 [0.324675,1,0.925926,0.935099,0.0,0.854963,0.987705,0.562252,0.403226,0.980645,0.88511,0.907895,0.777232,0.993289,0.843537,0.998973,0.435484,1,0.878698,1]
area_under_roc_curve
0.867561 [0.305195,1,0.659539,0.930464,0.0,0.847059,0.958534,0.675164,0.977419,0.454839,0.709373,0.846217,0.783036,0.996644,0.983562,0.943151,0.377419,0.996732,0.803658,0.854441]
area_under_roc_curve
0.861326 [0.331169,0.937078,0.655773,0.833113,0.0,0.850919,0.987825,0.487664,0.38961,0.883871,0.908541,0.814145,0.683453,1,0.892668,0.992466,0.8,0.825708,0.81603,0.990132]
area_under_roc_curve
0.889137 [0.980645,0.986064,0.744009,0.99404,0.0,0.929963,0.944913,0.540296,0.904221,0.43871,0.894521,0.814967,0.780576,0.899808,0.862812,0.986986,0.919355,1,0.870898,0.616558]
area_under_roc_curve
0.889586 [0.270968,0.985642,0.941176,0.758889,0.0,0.95121,0.971794,0.544408,0.957792,0.422581,0.774376,0.834704,0.778671,0.993333,0.93802,0.996575,0.561688,1,0.820602,0.976974]
area_under_roc_curve
0.871744 [0.958065,1,0.877467,0.91457,0.0,0.871691,0.95549,0.590461,0.886364,0.964516,0.819728,0.511513,0.737054,1,0.996221,0.993151,0.983871,1,0.607047,0.996711]
area_under_roc_curve
0.880834 [0.980645,0.999578,0.656863,0.607285,0.467742,0.956801,0.992165,0.808388,0.952922,0.351613,0.642123,0.981086,0.738045,0.969444,0.921391,0.998488,0.819355,1,0.753093,1]
area_under_roc_curve
0.828257 [0.993548,0.933699,0.566449,0.542384,0.0,0.871879,0.959016,0.439145,0.904221,0.373377,0.776712,0.659539,0.739103,0.996667,0.830688,0.983562,0.329032,0.875,0.673749,1]
area_under_roc_curve
0.841025 [0.574675,1,0.907407,0.800662,0.0,0.908088,0.912869,0.717928,0.977419,0.715909,0.540816,0.430921,0.707787,0.900288,0.816327,0.990753,0.319355,1,0.889995,0.954248]
area_under_roc_curve
0.853864 [0.43871,0.997124,0.766885,0.650993,0.445161,0.857353,0.972035,0.789404,0.863636,0.4,0.911565,0.624178,0.712865,0.919463,0.902494,0.985616,0.409677,0.852796,0.7695,0.818083]
area_under_roc_curve
0.90712 [0.659091,1,0.79085,0.737748,0.0,0.885846,0.99554,0.777961,0.891234,0.412903,0.818594,0.575658,0.861405,0.989933,0.984127,0.997603,0.912903,1,0.866864,1]
area_under_roc_curve
0.877207 [0.425325,1,0.685855,0.697351,0.0,0.867096,0.989151,0.689404,0.412903,0.429032,0.833711,0.643914,0.831473,0.919942,0.870748,0.994863,0.958065,0.989107,0.882195,0.875]
area_under_roc_curve
0.860546 [0.418831,1,0.729847,0.783444,0.0,0.802757,0.934185,0.504112,0.970968,0.845161,0.90514,0.600329,0.825011,0.822627,0.928949,0.993151,0.912903,0.995066,0.785637,0.980263]
area_under_roc_curve
0.875241 [0.974194,0.996622,0.889803,0.531126,0.0,0.876654,0.974566,0.549007,0.689935,0.987097,0.821995,0.831414,0.835167,0.911667,0.978458,0.983562,0.325806,0.875,0.75121,0.990196]
area_under_roc_curve
0.866725 [0.311688,1,0.515251,0.747778,0.0,0.847059,0.963235,0.582237,0.344156,0.377419,0.884354,0.838816,0.858019,0.982778,0.86319,0.999658,0.818182,1,0.796665,0.970588]
area_under_roc_curve
0.88895 [0.980645,1,0.892157,0.945695,0.0,0.881066,0.984812,0.503289,0.587662,0.99513,0.898715,0.998355,0.696361,1,0.835601,0.986986,0.582792,1,0.860947,0.834704]
area_under_roc_curve
0.895172 [0.990323,1,0.810855,0.849007,0.412903,0.87114,0.976133,0.931743,0.353896,0.445161,0.722222,0.971217,0.832628,0.993333,0.897959,0.992063,0.341935,0.996711,0.88596,0.976974]
area_under_roc_curve
0.882063 [1,0.987753,0.711329,0.590066,0.0,0.888971,0.95974,0.591283,0.899351,0.870968,0.841648,0.620888,0.808506,0.911111,0.897581,0.99863,0.899351,1,0.89887,0.837993]
area_under_roc_curve
0.856472 [0.393548,1,0.712418,0.839073,0.0,0.861581,0.918033,0.555099,0.678571,0.412903,0.922147,0.788651,0.75328,0.902685,0.977702,0.986644,0.864516,1,0.680473,0.873355]
area_under_roc_curve
0.8735 [0.329032,1,0.737473,0.854305,0.432258,0.863603,0.956244,0.783444,0.975649,0.390323,0.757748,0.662007,0.803005,0.985618,0.916478,0.987671,0.890323,1,0.764927,1]
area_under_roc_curve
0.872186 [0.553571,1,0.625,0.737778,0.0,0.891176,0.972035,0.615132,0.87013,0.36129,0.957294,0.717105,0.782903,0.90652,0.877173,0.991308,0.341935,1,0.831899,0.826797]
area_under_roc_curve
0.852181 [0.652597,0.98353,0.74183,0.75298,0.0,0.806761,0.966731,0.515232,0.87013,0.377419,0.898715,0.666941,0.786712,0.92186,0.926304,0.934618,0.925806,0.866776,0.747176,0.861842]
area_under_roc_curve
0.863072 [0.266234,1,0.678649,0.642222,0.0,0.906066,0.936234,0.809211,0.212903,0.848387,0.83031,0.555099,0.816758,0.985618,0.823129,0.984247,0.396774,0.866776,0.874933,1]
area_under_roc_curve
0.88483 [0.280645,1,0.598684,0.901987,0.0,0.832169,0.989754,0.789404,0.923701,0.851613,0.806878,0.833882,0.642615,0.989444,0.990552,0.994863,0.829032,1,0.905056,0.996732]
area_under_roc_curve
0.874844 [0.608766,1,0.924342,0.918543,0.0,0.850551,0.970468,0.541118,0.25974,1,0.893802,0.689967,0.670969,0.993333,0.990552,0.989041,0.823052,0.830065,0.863367,0.980392]
area_under_roc_curve
0.827805 [0.970968,0.9375,0.630719,0.735,0.0,0.793015,0.931895,0.742599,0.894481,0.425806,0.783069,0.502467,0.793271,0.993333,0.850685,0.995087,0.415584,1,0.643895,0.866776]
area_under_roc_curve
0.863219 [0.912903,0.999521,0.634046,0.92,0.477419,0.888235,0.978905,0.574836,0.663961,0.390323,0.803099,0.784539,0.696361,0.993333,0.899849,0.978836,0.780645,0.997533,0.758472,0.862664]
area_under_roc_curve
0.872633 [0.264516,1,0.718954,0.776821,0.0,0.832537,0.968177,0.4375,0.935065,0.390323,0.88511,0.838816,0.826492,0.996667,0.992819,0.982877,0.545455,1,0.739107,0.85773]
area_under_roc_curve
0.883716 [0.290323,1,0.552288,0.543046,0.0,0.964338,0.991803,0.726974,0.637987,0.822581,0.931973,0.659539,0.706094,0.917546,0.98904,0.994178,0.390323,0.873355,0.846423,1]
area_under_roc_curve
0.88843 [0.354839,0.995777,0.771382,0.895364,0.0,0.888419,0.995178,0.900493,0.444805,0.43871,0.826909,0.529605,0.788828,0.993333,0.807877,0.997945,0.887097,1,0.908015,0.832244]
area_under_roc_curve
0.889309 [0.662338,1,0.745066,0.796667,0.0,0.937572,0.972019,0.722862,0.431818,0.812903,0.803099,0.747533,0.844054,0.989933,0.915344,0.986395,0.3,1,0.79532,0.997821]
area_under_roc_curve
0.880252 [0.577922,1,0.8878,0.698013,0.0,0.831348,0.967213,0.789404,0.327922,0.403226,0.883976,0.994243,0.857385,0.81256,0.976568,0.979214,0.870968,1,0.742604,1]
area_under_roc_curve
0.880748 [0.905844,0.995206,0.771382,0.752222,0.0,0.826103,0.970709,0.968874,0.636364,0.396774,0.821995,0.733553,0.822048,0.993333,0.914588,0.991686,0.880645,1,0.745024,0.996732]
area_under_roc_curve
0.884166 [0.607143,1,0.833882,0.725828,0.0,0.804596,0.982642,0.880795,0.891234,0.803226,0.808012,0.828947,0.789886,0.993333,0.929705,0.981507,0.422581,0.998911,0.821678,1]
area_under_roc_curve
0.857498 [0.887987,1,0.799342,0.675497,0.0,0.849449,0.944672,0.731908,0.633117,0.990323,0.665911,0.742599,0.680491,0.996667,0.958904,0.993151,0.883871,0.996732,0.786175,1]
area_under_roc_curve
0.890449 [0.293548,1,0.899782,0.758889,0.0,0.913787,0.958896,0.694901,0.655844,0.354839,0.923658,0.700658,0.861828,0.908333,0.855253,0.992441,0.650974,1,0.837816,1]
area_under_roc_curve
0.850865 [0.9,0.996644,0.761513,0.648333,0.480645,0.887316,0.941297,0.470199,0.386364,0.980645,0.690098,0.757401,0.857596,0.998333,0.82842,0.996918,1,0.820261,0.760893,1]
area_under_roc_curve
0.906552 [0.825806,1,1,0.857222,0.0,0.931434,0.982281,0.666941,0.650974,1,0.917234,0.747533,0.720271,0.975556,0.907785,0.995205,0.970779,0.986842,0.894298,0.869243]
area_under_roc_curve
0.87172 [0.741935,0.987753,0.980392,0.861111,0.0,0.873031,0.965043,0.729441,0.308442,0.851613,0.567649,0.625822,0.796445,0.915628,0.798186,0.982877,0.896774,1,0.923884,0.992599]
area_under_roc_curve
0.839322 [0.958065,1,0.375,0.783889,0.0,0.809191,0.953954,0.511513,0.659091,0.425806,0.792895,0.92023,0.755819,0.993333,0.919501,0.993836,0.425806,1,0.701183,0.66122]
area_under_roc_curve
0.865668 [0.983871,1,0.885691,0.572222,0.470968,0.829812,0.982763,0.663651,0.63961,0.964516,0.861644,0.955592,0.838129,0.993333,0.848828,0.995465,0.396104,1,0.653846,0.998911]
area_under_roc_curve
0.852261 [0.673701,1,0.446623,0.411921,0.0,0.832309,0.952146,0.556954,0.623377,0.348387,0.816704,0.740132,0.873043,0.957814,0.993953,0.920257,0.751613,0.943257,0.772996,0.995066]
area_under_roc_curve
0.854715 [0.589286,1,0.703125,0.931667,0.0,0.784007,0.981557,0.666225,0.698052,0.387097,0.761149,0.814145,0.713923,0.817222,0.982615,1,0.787097,1,0.75659,0.991285]
area_under_roc_curve
0.907417 [0.568182,0.989443,0.684096,0.823841,0.0,0.930331,0.957932,0.662252,0.335484,0.696429,0.874906,0.997533,0.889759,0.993333,0.996599,1,0.383871,1,0.835664,0.987664]
area_under_roc_curve
0.884904 [0.657468,1,0.736842,0.9,0.0,0.902574,0.991562,0.731086,0.774194,0.667208,0.760393,0.805921,0.711595,0.976111,0.878685,0.965753,0.864516,0.992599,0.851802,0.996732]
area_under_roc_curve
0.894591 [0.996753,0.987753,0.848584,0.917222,0.0,0.885846,0.963838,0.823191,0.534091,0.912903,0.89418,0.352796,0.76788,1,0.883976,0.993575,0.977419,1,0.886767,0.983553]
area_under_roc_curve
0.870693 [0.348387,1,0.869281,0.887222,0.974194,0.821324,0.976013,0.738411,0.702922,0.987097,0.890023,0.827303,0.655946,0.994727,0.891534,0.991438,0.43871,1,0.814685,0.825708]
area_under_roc_curve
0.864253 [0.3,1,0.918301,0.862222,0.445161,0.844669,0.975892,0.671053,0.612013,0.393548,0.782691,0.814967,0.699323,0.901667,0.9161,1,0.977419,1,0.767886,0.991776]
area_under_roc_curve
0.885343 [0.306452,1,0.681917,0.737778,0.0,0.881291,0.984932,0.629112,0.712662,0.964516,0.866096,0.717105,0.895683,0.991371,0.888133,0.995205,0.945161,1,0.711404,0.840461]
area_under_roc_curve
0.901053 [0.383871,0.986486,0.583059,0.943889,0.0,0.865809,0.974687,0.710526,0.344156,0.383871,0.891156,0.715461,0.847651,0.995556,0.989418,0.996575,0.996774,1,0.906939,1]
area_under_roc_curve
0.863227 [0.912903,1,0.53268,0.646111,0.441935,0.807146,0.972517,0.462171,0.685065,0.396774,0.683296,0.753289,0.882141,0.885556,0.921391,0.992808,0.654221,1,0.909629,0.996732]
area_under_roc_curve
0.867068 [0.26129,1,0.892157,0.927222,0.43871,0.886477,0.989965,0.465461,0.871753,0.370968,0.803855,0.552632,0.749048,0.996667,0.98715,0.994521,0.667208,1,0.656536,0.998911]
area_under_roc_curve
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kb_relative_information_score
84.913849
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
90.184383
kb_relative_information_score
87.746773
kb_relative_information_score
98.377422
kb_relative_information_score
84.38928
kb_relative_information_score
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kb_relative_information_score
92.227377
kb_relative_information_score
93.461067
kb_relative_information_score
84.07542
kb_relative_information_score
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kb_relative_information_score
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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 [1,7,3,6,1,20,34,4,2,1,9,4,17,6,9,10,2,4,13,3]
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
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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
0.552723 [0,1,0,0.5,0,0.434783,0.837838,0,0,0,0.571429,0,0.2,1,0.6,0.47619,0,1,0.4,1]
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
0.675364 [0,1,0,1,0,0.541667,0.885714,0.5,0,0,0.375,1,0.533333,0.714286,0.777778,0.818182,0,1,0.461538,1]
precision
0.613925 [0,1,0,0.5,0,0.608696,0.825,0.5,0,0,0.333333,0.5,0.538462,1,0.6,0.692308,0,1,0.428571,0.5]
precision
0.617754 [0,1,0,1,0,0.608696,0.775,0,0,0,0.545455,0.333333,0.368421,0.875,0.75,0.769231,0,1,0.461538,0.75]
precision
0.662355 [0,1,0,0.666667,0,0.483871,0.888889,0.666667,0,0,0.5,0,0.56,0.6,0.625,0.6,0,1,1,1]
precision
0.654096 [0,1,0,0.5,0,0.545455,0.820513,0.5,0,0,0.857143,1,0.352941,0.7,0.5,0.692308,0,1,0.857143,0.571429]
precision
0.638611 [0,1,0,0,0,0.565217,0.825,0,0,0,0.8,1,0.56,1,0.8,0.777778,0,1,0.318182,1]
precision
0.552671 [0,1,0,0.333333,0,0.565217,0.828571,0,0,0,0,0,0.4,0.555556,0.7,0.727273,0,1,0.444444,1]
precision
0.579343 [0,1,1,0,0,0.478261,0.878788,0,0,0,0.214286,0,0.444444,0.833333,0.8,0.7,0,1,0.32,1]
precision
0.56714 [0,1,0,0,0,0.652174,0.85,0.666667,0,0,0,0.333333,0.4375,1,0.727273,0.5,0,1,0.409091,0.5]
precision
0.602123 [0,1,0,1,0,0.6,0.804878,0,0,0,0.666667,0.333333,0.333333,0.714286,0.636364,0.888889,0,0.8,0.428571,0.666667]
precision
0.573208 [0,1,0,0.25,0,0.526316,0.857143,0,0,0,0.333333,0.5,0.37037,0.545455,0.857143,0.8,0,1,0.357143,0.6]
precision
0.650975 [0,1,0,0.6,0,0.590909,0.911765,0,0,0,0.875,0.333333,0.470588,0.75,0.875,0.769231,0,1,0.333333,0.75]
precision
0.589457 [0,1,0,0.25,0,0.611111,0.815789,0,0,0,0.571429,0,0.6,0.666667,0.9,0.434783,0,1,0.3,1]
precision
0.630816 [0,0.875,0,0.5,0,0.571429,0.914286,0.5,0,0,0.666667,1,0.428571,0.6,0.8,0.727273,0,0.8,0.266667,0.6]
precision
0.659896 [0,1,1,0.333333,0,0.75,0.825,0.5,0,0,0.4,0,0.461538,0.75,0.666667,1,0,1,0.454545,1]
predictive_accuracy
0.621795
predictive_accuracy
0.679487
predictive_accuracy
0.666667
predictive_accuracy
0.685897
predictive_accuracy
0.628205
predictive_accuracy
0.692308
predictive_accuracy
0.615385
predictive_accuracy
0.673077
predictive_accuracy
0.673077
predictive_accuracy
0.698718
predictive_accuracy
0.583333
predictive_accuracy
0.705128
predictive_accuracy
0.596154
predictive_accuracy
0.608974
predictive_accuracy
0.557692
predictive_accuracy
0.737179
predictive_accuracy
0.705128
predictive_accuracy
0.602564
predictive_accuracy
0.634615
predictive_accuracy
0.608974
predictive_accuracy
0.647436
predictive_accuracy
0.666667
predictive_accuracy
0.685897
predictive_accuracy
0.602564
predictive_accuracy
0.621795
predictive_accuracy
0.596154
predictive_accuracy
0.557692
predictive_accuracy
0.641026
predictive_accuracy
0.660256
predictive_accuracy
0.679487
predictive_accuracy
0.596154
predictive_accuracy
0.608974
predictive_accuracy
0.634615
predictive_accuracy
0.653846
predictive_accuracy
0.679487
predictive_accuracy
0.685897
predictive_accuracy
0.660256
predictive_accuracy
0.647436
predictive_accuracy
0.634615
predictive_accuracy
0.602564
predictive_accuracy
0.647436
predictive_accuracy
0.596154
predictive_accuracy
0.685897
predictive_accuracy
0.641026
predictive_accuracy
0.615385
predictive_accuracy
0.615385
predictive_accuracy
0.628205
predictive_accuracy
0.666667
predictive_accuracy
0.705128
predictive_accuracy
0.634615
predictive_accuracy
0.641026
predictive_accuracy
0.615385
predictive_accuracy
0.647436
predictive_accuracy
0.666667
predictive_accuracy
0.673077
predictive_accuracy
0.641026
predictive_accuracy
0.608974
predictive_accuracy
0.634615
predictive_accuracy
0.641026
predictive_accuracy
0.653846
predictive_accuracy
0.653846
predictive_accuracy
0.589744
predictive_accuracy
0.647436
predictive_accuracy
0.615385
predictive_accuracy
0.660256
predictive_accuracy
0.628205
predictive_accuracy
0.641026
predictive_accuracy
0.641026
predictive_accuracy
0.641026
predictive_accuracy
0.653846
predictive_accuracy
0.589744
predictive_accuracy
0.634615
predictive_accuracy
0.660256
predictive_accuracy
0.564103
predictive_accuracy
0.570513
predictive_accuracy
0.608974
predictive_accuracy
0.608974
predictive_accuracy
0.589744
predictive_accuracy
0.666667
predictive_accuracy
0.621795
predictive_accuracy
0.608974
predictive_accuracy
0.679487
predictive_accuracy
0.634615
predictive_accuracy
0.570513
predictive_accuracy
0.589744
predictive_accuracy
0.673077
predictive_accuracy
0.647436
predictive_accuracy
0.653846
predictive_accuracy
0.679487
predictive_accuracy
0.666667
predictive_accuracy
0.673077
predictive_accuracy
0.596154
predictive_accuracy
0.564103
predictive_accuracy
0.647436
predictive_accuracy
0.615385
predictive_accuracy
0.602564
predictive_accuracy
0.685897
predictive_accuracy
0.621795
predictive_accuracy
0.634615
predictive_accuracy
0.679487
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
0.621795 [0,1,0,0.6,0,0.65,0.941176,0,0,0,0.3,0,0.5,0.714286,0.555556,1,0,1,0.384615,0.666667]
recall
0.679487 [0,1,0,0,0,0.789474,0.942857,0.25,0,0,0.444444,0.25,0.375,0.833333,0.8,1,0,1,0.769231,0.25]
recall
0.666667 [0,1,0.25,0,0,0.789474,0.970588,0,0,0,0.333333,0.25,0.75,0.857143,0.7,1,0,1,0.230769,0.666667]
recall
0.685897 [0,1,0,0.2,0,0.55,0.970588,0,0,0,0.777778,0.25,0.647059,0.833333,0.7,1,0,1,0.538462,1]
recall
0.628205 [0,1,0,0,0,0.631579,0.911765,0.2,1,0,0.2,0.5,0.529412,1,0.666667,1,0,1,0.230769,1]
recall
0.692308 [0,1,0,0.4,0,0.65,1,0,0,0,0.333333,0.5,0.4375,1,0.555556,1,0,1,0.692308,1]
recall
0.615385 [0,1,0,0.2,0,0.55,0.911765,0,0,0,0.222222,0.25,0.1875,1,1,0.9,0,0.666667,0.692308,0.5]
recall
0.673077 [0,0.875,0,0.4,0,0.75,1,0,0,0,0.333333,0.75,0.411765,1,0.777778,1,0,0.666667,0.307692,1]
recall
0.673077 [0,0.875,0,0.8,0,0.65,0.941176,0,0,0,0.6,0.5,0.588235,0.714286,0.555556,0.8,0,1,0.692308,0]
recall
0.698718 [0,0.875,0,0.5,0,0.736842,0.970588,0,0,0,0.555556,0.25,0.529412,1,0.777778,1,0,1,0.538462,0.75]
recall
0.583333 [0,1,0,0.2,0,0.5,0.885714,0,0,0,0.444444,0,0.25,1,1,1,0,1,0.153846,0.5]
recall
0.705128 [0,1,0,0,0,0.75,0.970588,0.5,0,0,0.4,0.75,0.588235,0.833333,0.888889,0.777778,0,1,0.538462,1]
recall
0.596154 [0,0.875,0,0.2,0,0.631579,0.852941,0,0,0,0.5,0.5,0.235294,1,0.555556,1,0,0.75,0.384615,1]
recall
0.608974 [0,1,0,0.4,0,0.75,0.885714,0,0,0,0.333333,0,0.411765,0.714286,0.555556,0.8,0,1,0.461538,0.666667]
recall
0.557692 [0,0.857143,0,0.2,0,0.75,0.882353,0,0,0,0.222222,0,0.352941,0.714286,0.555556,0.8,0,0.5,0.384615,0.666667]
recall
0.737179 [0,1,0.333333,0.2,0,0.75,1,0.5,0,0,0.555556,0,0.764706,0.857143,1,0.9,0,1,0.384615,1]
recall
0.705128 [0,1,0,0.4,0,0.7,0.970588,0.2,0,0,0.333333,0.25,0.625,0.857143,0.777778,1,0,0.666667,0.769231,0.75]
recall
0.602564 [0,1,0,0.4,0,0.75,0.823529,0,0,0,0.222222,0.25,0.411765,0.714286,0.888889,0.8,0,0.75,0.461538,0.25]
recall
0.634615 [0,1,0,0,0,0.65,0.941176,0.2,0,0,0.666667,0.5,0.647059,0.833333,0.777778,0.8,0,0.75,0.076923,0.666667]
recall
0.608974 [0,1,0,0,0,0.85,0.882353,0,0,0,0.333333,0,0.588235,0.833333,0.222222,1,0,1,0.384615,0.666667]
recall
0.647436 [0,1,0,0.4,0,0.75,0.970588,0,0,0,0.555556,1,0.235294,1,0.333333,0.9,0,1,0.461538,0.75]
recall
0.666667 [0,1,0,0.8,0,0.45,0.941176,0,0,0,0.222222,0.25,0.647059,1,0.777778,0.888889,0,1,0.692308,0.75]
recall
0.685897 [1,0.875,0,0.4,0,0.8,0.911765,0.25,0,0,0.222222,0.25,0.470588,0.833333,0.777778,0.9,0,1,0.769231,0.75]
recall
0.602564 [0,1,0,0.6,0,0.7,0.764706,0,0,0,0.444444,0.5,0.352941,0.571429,0.777778,0.9,0,1,0.307692,0.75]
recall
0.621795 [0,1,0,0,0,0.75,0.911765,0.2,0.5,0,0.333333,0.25,0.352941,0.857143,0.777778,0.8,0,1,0.307692,1]
recall
0.596154 [0,1,0,0,0,0.65,0.941176,0,0,0,0.333333,0,0.588235,0.714286,0.333333,1,0,1,0.384615,0.666667]
recall
0.557692 [0,0.875,0.333333,0.2,0,0.578947,0.911765,0,0,0,0.222222,0.25,0.352941,0.857143,0.666667,0.777778,0,0.75,0.153846,0.75]
recall
0.641026 [0,1,0,0.166667,0,0.75,0.911765,0,0,0,0.444444,0,0.411765,0.857143,0.555556,1,0,0.75,0.538462,1]
recall
0.660256 [0,1,0,0.2,0,0.6,0.970588,0.6,0,0,0.333333,0,0.294118,0.833333,0.888889,1,0,1,0.615385,1]
recall
0.679487 [0,1,0.25,0.6,0,0.75,0.970588,0,0,0,0.555556,0,0.411765,1,0.888889,0.8,0,0.666667,0.615385,0.666667]
recall
0.596154 [0,0.875,0,0.5,0,0.65,0.882353,0,0,0,0.333333,0,0.411765,1,0.6,0.888889,0,1,0.307692,0.75]
recall
0.608974 [0,1,0,0.5,0,0.7,0.941176,0,0,0,0.555556,0.25,0.235294,1,0.666667,0.888889,0,0.75,0.230769,0.75]
recall
0.634615 [0,1,0,0,0,0.75,0.941176,0,0,0,0.222222,0,0.411765,1,0.888889,1,0,1,0.307692,0.75]
recall
0.653846 [0,1,0,0.2,0,0.8,0.970588,0,0,0,0.333333,0,0.411765,0.857143,0.888889,0.9,0,0.75,0.307692,1]
recall
0.679487 [0,0.875,0,0.4,0,0.8,0.970588,0,0,0,0.555556,0,0.529412,1,0.6,0.9,0,1,0.538462,0.666667]
recall
0.685897 [0,1,0,0.666667,0,0.789474,0.914286,0.5,0,0,0.444444,0.25,0.352941,1,0.888889,1,0,1,0.461538,0.666667]
recall
0.660256 [0,1,0,0.4,0,0.789474,0.911765,0,0,0,0.444444,0.5,0.647059,0.714286,0.555556,0.888889,0,1,0.307692,1]
recall
0.647436 [0,0.857143,0,0.333333,0,0.7,0.941176,0.4,0,0,0.666667,0,0.411765,1,0.666667,1,0,1,0.307692,1]
recall
0.634615 [0,1,0,0.4,0,0.6,0.970588,0.2,0,0,0.111111,0.25,0.470588,1,0.888889,0.8,0,0.666667,0.461538,1]
recall
0.602564 [0,1,0,0.6,0,0.75,0.823529,0.25,0,0,0.333333,0.25,0.117647,1,0.8,0.8,0,1,0.384615,1]
recall
0.647436 [0,1,0,0.166667,0,0.8,0.823529,0,0,0,0.444444,0,0.705882,0.833333,0.666667,0.888889,0,1,0.384615,1]
recall
0.596154 [0,1,0,0.333333,0,0.6,0.852941,0,0,0,0.444444,0,0.588235,1,0.333333,1,0,0.666667,0.384615,1]
recall
0.685897 [0,1,1,0.666667,0,0.75,0.941176,0,0,0,0.555556,0,0.352941,0.833333,0.777778,1,0,1,0.461538,0.75]
recall
0.641026 [0,0.875,0.666667,0.666667,0,0.684211,0.970588,0.25,0,0,0.222222,0,0.294118,0.857143,0.444444,0.6,0,1,0.769231,0.75]
recall
0.615385 [0,1,0,0.333333,0,0.55,0.882353,0,0,0,0.222222,0.25,0.529412,1,0.777778,0.9,0,1,0.461538,0.333333]
recall
0.615385 [0,1,0,0.166667,0,0.684211,0.941176,0,0,0,0.5,0.25,0.529412,1,0.444444,1,0,1,0.230769,0.666667]
recall
0.628205 [0.5,1,0,0,0,0.842105,0.970588,0,0,0,0.333333,0.25,0.588235,0.857143,0.888889,0.444444,0,0.5,0.230769,0.75]
recall
0.666667 [0,1,0.25,0.333333,0,0.7,0.970588,0,0,0,0.333333,0.5,0.470588,0.5,1,1,0,1,0.538462,0.666667]
recall
0.705128 [0,0.875,0,0,0,0.75,0.911765,0.2,0,0,0.444444,1,0.647059,1,1,1,0,1,0.461538,0.75]
recall
0.634615 [0,1,0.25,0.2,0,0.7,0.911765,0.5,0,0,0.444444,0.25,0.352941,0.5,0.777778,0.8,0,0.75,0.538462,1]
recall
0.641026 [0,0.875,0,0.333333,0,0.65,0.970588,0,0,0,0.888889,0,0.352941,1,0.444444,0.888889,0,1,0.538462,0.5]
recall
0.615385 [0,1,0,0.333333,0,0.6,0.941176,0.2,0,0,0.555556,0.5,0.352941,0.857143,0.444444,1,0,1,0.307692,0.666667]
recall
0.647436 [0,1,0.333333,0.5,0,0.45,0.941176,0.25,0,0,0.555556,0.25,0.352941,0.666667,0.888889,1,0,1,0.461538,1]
recall
0.666667 [0,1,0,0,0,0.526316,0.911765,0,0,0,0.5,0.5,0.705882,1,0.666667,1,0,1,0.538462,0.75]
recall
0.673077 [0,0.875,0,0.666667,0,0.55,0.911765,0,0,0,0.555556,0.5,0.588235,1,1,0.8,1,0.75,0.384615,1]
recall
0.641026 [0,1,0,0,0,0.473684,0.911765,0,0,0,0.333333,0.25,0.588235,0.666667,0.777778,1,0,1,0.769231,1]
recall
0.608974 [0,1,0,0.333333,0,0.631579,0.971429,0,0,0,0.555556,0,0.235294,1,0.777778,1,0,1,0.153846,0.666667]
recall
0.634615 [0,1,0,0.166667,0,0.8,0.852941,0,0,0,0.333333,0.25,0.411765,0.833333,0.666667,0.888889,0,1,0.692308,1]
recall
0.641026 [0,0.875,0,0.4,0,0.6,0.941176,0.5,0,0,0.444444,0.5,0.529412,0.833333,0.6,0.9,0,1,0.307692,0.75]
recall
0.653846 [0,1,0,0.2,0,0.7,0.852941,0,0,0,0.333333,1,0.588235,1,1,0.9,0,1,0.230769,0.333333]
recall
0.653846 [0,1,0,0.166667,0,0.789474,0.823529,0.25,0,0,0.333333,0.75,0.470588,0.833333,0.888889,1,0,1,0.384615,1]
recall
0.589744 [0,1,0,0.166667,0,0.75,0.882353,0.2,0,0,0.555556,0.25,0.235294,0.714286,0.555556,0.8,0,0.666667,0.384615,1]
recall
0.647436 [0,1,0.666667,0.166667,0,0.7,0.941176,0,0,0,0.444444,0.25,0.294118,0.857143,0.777778,1,0,1,0.384615,1]
recall
0.615385 [0,0.857143,0,0.5,0,0.421053,0.970588,0,0,0,0.111111,0.5,0.470588,0.833333,0.888889,1,0,1,0.461538,0.5]
recall
0.660256 [0,0.875,0,0.166667,0,0.75,0.882353,0.25,0,0,0.555556,0,0.5625,0.833333,0.888889,1,0,1,0.461538,0.75]
recall
0.628205 [0,1,0,0.4,0,0.736842,0.941176,0,0,0,0.666667,0,0.352941,0.833333,0.8,0.9,0,1,0.230769,0.333333]
recall
0.641026 [0,1,0,0,0,0.75,0.970588,0.5,0,0,0.222222,0.5,0.352941,1,0.555556,1,0,1,0.461538,0.666667]
recall
0.641026 [0,1,0,0.2,0,0.684211,0.941176,0.4,0,0,0.4,0.25,0.705882,0.833333,0.666667,0.8,0,0.5,0.384615,0.666667]
recall
0.641026 [0,1,0,0.166667,0,0.736842,0.911765,0,0,0,0,0.25,0.3125,1,0.888889,1,0.5,1,0.769231,0.5]
recall
0.653846 [0,1,0.333333,0.4,0,0.8,0.941176,0.2,0,0,0.333333,0.25,0.411765,0.714286,0.777778,0.666667,0,1,0.615385,0.5]
recall
0.589744 [0,1,0,0,0,0.789474,0.970588,0.2,0,0,0.111111,0.25,0.176471,0.714286,0.666667,0.9,0,1,0.307692,1]
recall
0.634615 [0,1,0,0.4,0,0.736842,0.852941,0,0,0,0.555556,0.25,0.411765,1,0.666667,0.9,0,1,0.384615,0.666667]
recall
0.660256 [0,1,0,0.666667,0,0.6,0.911765,0,0,0,0.444444,0.5,0.588235,1,0.888889,1,0,1,0.230769,0.666667]
recall
0.564103 [0,1,0,0.166667,0,0.736842,0.911765,0,0,0,0.333333,0,0.117647,1,0.444444,0.666667,0,1,0.538462,1]
recall
0.570513 [0,1,0,0.166667,0,0.526316,0.885714,0,0,0,0.555556,0,0.1875,0.666667,0.777778,0.8,0,0.666667,0.538462,0.75]
recall
0.608974 [0,0.75,0,0,0,0.85,0.911765,0,0,0,0.222222,0.5,0.529412,1,0.666667,0.7,0,1,0.307692,0.5]
recall
0.608974 [0,0.857143,0,0,0,0.7,0.970588,0.25,0,0,0.222222,0,0.294118,1,0.777778,0.9,0,1,0.461538,0.666667]
recall
0.589744 [0,1,0,0.2,0,0.842105,0.885714,0,0,0,0,0.25,0.375,1,0.555556,1,0,1,0.153846,0.5]
recall
0.666667 [0,1,0,0.5,0,0.631579,0.911765,0.25,0,0,0.555556,0.25,0.3125,1,0.666667,1,0,1,0.692308,1]
recall
0.621795 [0,1,0,0.4,0,0.473684,0.942857,0.4,0,0,0.666667,0.25,0.529412,1,0.555556,0.777778,0,0.5,0.307692,0.75]
recall
0.608974 [0,1,0,0.2,0,0.736842,0.941176,0,0,0,0.222222,0.25,0.411765,0.571429,0.555556,1,0,1,0.384615,1]
recall
0.679487 [0,0.875,0.333333,0.4,0,0.789474,0.970588,0.5,0,0,0.222222,0.5,0.588235,1,0.444444,1,0,1,0.307692,1]
recall
0.634615 [0,1,0,0.4,0,0.736842,0.941176,0,0,0,0.444444,0.75,0.529412,0.714286,0.777778,0.666667,1,1,0.230769,0.666667]
recall
0.570513 [0,1,0,0.2,0,0.85,0.852941,0,0,0,0.333333,0.25,0.4375,0.666667,0.666667,0.666667,0,0.75,0.230769,0.666667]
recall
0.589744 [0,1,0.333333,0.4,0,0.631579,0.911765,0,0,0,0.444444,0.25,0.352941,0.714286,0.333333,1,0,0.666667,0.307692,1]
recall
0.673077 [0,1,0,0.8,0,0.65,0.911765,0.2,0,0,0.666667,0.5,0.470588,0.833333,0.777778,0.9,0,1,0.461538,0.5]
recall
0.647436 [0,0.857143,0,0.5,0,0.7,0.970588,0.25,0,0,0.222222,0.25,0.411765,0.666667,0.333333,0.9,0,1,0.923077,0.666667]
recall
0.653846 [0,0.875,0,0.2,0,0.736842,0.911765,0,0,0,0.666667,0.25,0.4375,1,0.6,1,0,1,0.461538,0.75]
recall
0.679487 [0,1,0,0.333333,0,0.789474,0.941176,0.5,0,0,0.222222,0,0.823529,0.857143,0.555556,1,0,1,0.307692,1]
recall
0.666667 [0,1,0,0.333333,0,0.631579,0.941176,0.2,0,0,0.6,0.25,0.375,1,0.888889,1,0,0.75,0.461538,1]
recall
0.673077 [0,0.857143,0,0,0,0.684211,0.970588,0,0,0,0.444444,0.75,0.823529,1,0.444444,0.7,0,1,0.538462,1]
recall
0.596154 [0,1,0,0.2,0,0.684211,0.852941,0,0,0,0,0,0.625,0.714286,0.777778,0.8,0,0.5,0.615385,0.5]
recall
0.564103 [0,1,0.25,0,0,0.578947,0.828571,0,0,0,0.333333,0,0.5,0.714286,0.444444,0.777778,0,0.666667,0.615385,0.666667]
recall
0.647436 [0,1,0,0,0,0.75,1,0.4,0,0,0,0.25,0.4375,1,0.888889,0.777778,0,0.666667,0.692308,0.666667]
recall
0.615385 [0,0.714286,0,0.4,0,0.631579,0.970588,0,0,0,0.222222,0.25,0.411765,0.714286,0.777778,0.888889,0,1,0.461538,1]
recall
0.602564 [0,1,0,0.2,0,0.5,0.882353,0,0,0,0.333333,0.25,0.625,0.857143,0.666667,0.8,0,1,0.384615,0.75]
recall
0.685897 [0,0.875,0,0.6,0,0.65,0.911765,0,0,0,0.7,0.25,0.470588,1,0.777778,1,0,1,0.615385,1]
recall
0.621795 [0,0.625,0,0.2,0,0.578947,0.911765,0,0,0,0.444444,0,0.705882,0.857143,1,1,0,0.333333,0.230769,1]
recall
0.634615 [0,1,0,0.166667,0,0.631579,0.914286,0.25,0,0,0.444444,0.25,0.705882,0.857143,0.444444,0.8,0,1,0.307692,1]
recall
0.679487 [0,1,0.333333,0.166667,0,0.631579,0.970588,0.2,0,0,0.222222,0,0.75,0.857143,0.666667,0.8,0,1,0.769231,0.75]
relative_absolute_error
0.553578
relative_absolute_error
0.477176
relative_absolute_error
0.472982
relative_absolute_error
0.488353
relative_absolute_error
0.504642
relative_absolute_error
0.440957
relative_absolute_error
0.529535
relative_absolute_error
0.495696
relative_absolute_error
0.485522
relative_absolute_error
0.481191
relative_absolute_error
0.536078
relative_absolute_error
0.461846
relative_absolute_error
0.555238
relative_absolute_error
0.547266
relative_absolute_error
0.563687
relative_absolute_error
0.437005
relative_absolute_error
0.461144
relative_absolute_error
0.51224
relative_absolute_error
0.522866
relative_absolute_error
0.55495
relative_absolute_error
0.498258
relative_absolute_error
0.491982
relative_absolute_error
0.472401
relative_absolute_error
0.533603
relative_absolute_error
0.533283
relative_absolute_error
0.544739
relative_absolute_error
0.56753
relative_absolute_error
0.531959
relative_absolute_error
0.484585
relative_absolute_error
0.522637
relative_absolute_error
0.536516
relative_absolute_error
0.547248
relative_absolute_error
0.518577
relative_absolute_error
0.492152
relative_absolute_error
0.430265
relative_absolute_error
0.471677
relative_absolute_error
0.495708
relative_absolute_error
0.497901
relative_absolute_error
0.507318
relative_absolute_error
0.556814
relative_absolute_error
0.521218
relative_absolute_error
0.532035
relative_absolute_error
0.488152
relative_absolute_error
0.521831
relative_absolute_error
0.503286
relative_absolute_error
0.534416
relative_absolute_error
0.546306
relative_absolute_error
0.471229
relative_absolute_error
0.460585
relative_absolute_error
0.537237
relative_absolute_error
0.522693
relative_absolute_error
0.532966
relative_absolute_error
0.507923
relative_absolute_error
0.465893
relative_absolute_error
0.461962
relative_absolute_error
0.508797
relative_absolute_error
0.524575
relative_absolute_error
0.515259
relative_absolute_error
0.505776
relative_absolute_error
0.500402
relative_absolute_error
0.514651
relative_absolute_error
0.543608
relative_absolute_error
0.485939
relative_absolute_error
0.538633
relative_absolute_error
0.488633
relative_absolute_error
0.540983
relative_absolute_error
0.509754
relative_absolute_error
0.508917
relative_absolute_error
0.524549
relative_absolute_error
0.513093
relative_absolute_error
0.539928
relative_absolute_error
0.494295
relative_absolute_error
0.486148
relative_absolute_error
0.555369
relative_absolute_error
0.570413
relative_absolute_error
0.522925
relative_absolute_error
0.547045
relative_absolute_error
0.548542
relative_absolute_error
0.497016
relative_absolute_error
0.523318
relative_absolute_error
0.554078
relative_absolute_error
0.502422
relative_absolute_error
0.513117
relative_absolute_error
0.574078
relative_absolute_error
0.582676
relative_absolute_error
0.485386
relative_absolute_error
0.53275
relative_absolute_error
0.517573
relative_absolute_error
0.459533
relative_absolute_error
0.497174
relative_absolute_error
0.503719
relative_absolute_error
0.566739
relative_absolute_error
0.582339
relative_absolute_error
0.505285
relative_absolute_error
0.553105
relative_absolute_error
0.538969
relative_absolute_error
0.50027
relative_absolute_error
0.543746
relative_absolute_error
0.515964
relative_absolute_error
0.496415
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
0.163438
root_mean_squared_error
0.1577
root_mean_squared_error
0.15335
root_mean_squared_error
0.152941
root_mean_squared_error
0.165713
root_mean_squared_error
0.146632
root_mean_squared_error
0.167562
root_mean_squared_error
0.159649
root_mean_squared_error
0.154255
root_mean_squared_error
0.153925
root_mean_squared_error
0.164755
root_mean_squared_error
0.15255
root_mean_squared_error
0.171831
root_mean_squared_error
0.167292
root_mean_squared_error
0.171351
root_mean_squared_error
0.142147
root_mean_squared_error
0.154247
root_mean_squared_error
0.164499
root_mean_squared_error
0.162624
root_mean_squared_error
0.16545
root_mean_squared_error
0.15635
root_mean_squared_error
0.156642
root_mean_squared_error
0.154365
root_mean_squared_error
0.170262
root_mean_squared_error
0.164437
root_mean_squared_error
0.165428
root_mean_squared_error
0.17404
root_mean_squared_error
0.16167
root_mean_squared_error
0.156349
root_mean_squared_error
0.16333
root_mean_squared_error
0.170291
root_mean_squared_error
0.165293
root_mean_squared_error
0.162026
root_mean_squared_error
0.158889
root_mean_squared_error
0.150282
root_mean_squared_error
0.15275
root_mean_squared_error
0.157099
root_mean_squared_error
0.159523
root_mean_squared_error
0.160018
root_mean_squared_error
0.170355
root_mean_squared_error
0.15715
root_mean_squared_error
0.167489
root_mean_squared_error
0.155714
root_mean_squared_error
0.161177
root_mean_squared_error
0.167773
root_mean_squared_error
0.164009
root_mean_squared_error
0.165787
root_mean_squared_error
0.160639
root_mean_squared_error
0.147764
root_mean_squared_error
0.161501
root_mean_squared_error
0.157355
root_mean_squared_error
0.165064
root_mean_squared_error
0.15862
root_mean_squared_error
0.156835
root_mean_squared_error
0.153043
root_mean_squared_error
0.165365
root_mean_squared_error
0.162683
root_mean_squared_error
0.159945
root_mean_squared_error
0.163245
root_mean_squared_error
0.162783
root_mean_squared_error
0.159163
root_mean_squared_error
0.168936
root_mean_squared_error
0.158945
root_mean_squared_error
0.164001
root_mean_squared_error
0.157411
root_mean_squared_error
0.169612
root_mean_squared_error
0.1632
root_mean_squared_error
0.165512
root_mean_squared_error
0.156612
root_mean_squared_error
0.163843
root_mean_squared_error
0.169354
root_mean_squared_error
0.15308
root_mean_squared_error
0.158417
root_mean_squared_error
0.172201
root_mean_squared_error
0.170868
root_mean_squared_error
0.165542
root_mean_squared_error
0.171117
root_mean_squared_error
0.167104
root_mean_squared_error
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