329199
2
Joaquin Vanschoren
4215
Supervised Classification
predictive_accuracy
1172
weka.LibSVM(2)
1924
weka.classifiers.functions.LibSVM -- -S 0 -K 2 -D 3 -G 0.0 -R 0.0 -N 0.5 -M 40.0 -C 1.0 -E 0.001 -P 0.1 -model /Users/joa/Downloads/weka-3-7-12 -seed 1
S
0
1172
K
2
1172
D
3
1172
G
0.0
1172
R
0.0
1172
C
1.0
1172
N
0.5
1172
P
0.1
1172
M
40.0
1172
E
0.001
1172
model
/Users/joa/Downloads/weka-3-7-12
1172
seed
1
1172
weka
weka_3.7.12
375
JapaneseVowels
https://www.openml.org/data/download/52415/JapaneseVowels.arff
-1
1125662
description
https://api.openml.org/data/download/1125662/weka_generated_run5037035183775332124.xml
-1
1125665
model_readable
https://api.openml.org/data/download/1125665/WekaModel_weka.classifiers.functions.LibSVM2667952821315891087.model
-1
1125664
model_serialized
https://api.openml.org/data/download/1125664/WekaSerialized_weka.classifiers.functions.LibSVM8276242392708792648.model
-1
1125663
predictions
https://api.openml.org/data/download/1125663/weka_generated_predictions6249503646979248290.arff
area_under_roc_curve
0.94477 [0.967079,0.935122,0.943653,0.966092,0.951195,0.980442,0.971461,0.885895,0.880221]
average_cost
0
f_measure
0.901807 [0.91874,0.893384,0.910141,0.926122,0.924179,0.953536,0.953187,0.798428,0.806118]
kappa
0.889346
kb_relative_information_score
89108.775055
mean_absolute_error
0.021698
mean_prior_absolute_error
0.196178
number_of_instances
99610 [10960,9910,16140,14730,7820,9630,11700,10110,8610]
os_information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
precision
0.902018 [0.890755,0.906945,0.917359,0.90363,0.941848,0.939972,0.957959,0.803143,0.840625]
predictive_accuracy
0.902359
prior_entropy
3.132137
recall
0.902359 [0.94854,0.880222,0.903036,0.949762,0.907161,0.967497,0.948462,0.793769,0.774332]
relative_absolute_error
0.110603
root_mean_prior_squared_error
0.313191
root_mean_squared_error
0.147302
root_relative_squared_error
0.470328
scimark_benchmark
1364.990954 [817.7405200469505, 1012.5880246437401, 547.5481095352231, 1115.9812794988438, 3331.096834563805]
total_cost
0
usercpu_time_millis
75810
usercpu_time_millis_testing
55830
usercpu_time_millis_training
19980
area_under_roc_curve
0.940917 [0.968618,0.91251,0.936922,0.955027,0.97305,0.975282,0.977792,0.874532,0.8824]
area_under_roc_curve
0.936936 [0.961417,0.901296,0.94274,0.971357,0.950776,0.979935,0.975223,0.869504,0.844223]
area_under_roc_curve
0.936442 [0.963144,0.930485,0.933666,0.956114,0.952408,0.967085,0.961835,0.892896,0.849163]
area_under_roc_curve
0.9418 [0.957109,0.949534,0.94145,0.970741,0.932089,0.965975,0.967813,0.89122,0.870772]
area_under_roc_curve
0.950364 [0.955745,0.93661,0.958179,0.968695,0.96672,0.971184,0.977496,0.910189,0.885144]
area_under_roc_curve
0.942038 [0.968817,0.935496,0.941937,0.971918,0.951864,0.976947,0.97095,0.868425,0.864223]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.937777 [0.971096,0.948448,0.924305,0.952705,0.939584,0.98625,0.96781,0.885984,0.846959]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.947713 [0.98072,0.938313,0.931301,0.98322,0.945995,0.987917,0.967241,0.850213,0.930552]
area_under_roc_curve
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area_under_roc_curve
0.947914 [0.960562,0.940536,0.946509,0.973703,0.940129,0.985694,0.97522,0.911854,0.869116]
area_under_roc_curve
0.946079 [0.992099,0.968059,0.937624,0.977802,0.938495,0.965972,0.980631,0.869456,0.850805]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.950545 [0.989811,0.956809,0.942526,0.96134,0.919809,0.98625,0.980631,0.900277,0.895668]
area_under_roc_curve
0.949665 [0.979592,0.96468,0.936914,0.965854,0.928199,0.987361,0.966673,0.901875,0.900933]
area_under_roc_curve
0.94529 [0.973918,0.935492,0.93725,0.957609,0.934808,0.981042,0.958694,0.909619,0.907296]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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996 [109,99,162,148,78,96,117,101,86]
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number_of_instances
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number_of_instances
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number_of_instances
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996 [109,100,161,147,78,96,117,101,87]
number_of_instances
996 [109,99,162,148,78,96,117,101,86]
number_of_instances
996 [109,99,161,147,79,97,117,101,86]
number_of_instances
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number_of_instances
996 [109,99,162,148,78,96,117,101,86]
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precision
0.88674 [0.895652,0.852632,0.947712,0.909677,0.898734,0.920792,0.949153,0.772277,0.7625]
precision
0.888821 [0.859504,0.84466,0.888889,0.92517,0.934211,0.967742,0.939655,0.768519,0.859155]
precision
0.899104 [0.901786,0.909091,0.966443,0.871951,0.906667,0.947368,0.964912,0.747748,0.833333]
precision
0.913688 [0.87931,0.945652,0.893491,0.915584,0.961039,0.947917,0.982456,0.817308,0.893333]
precision
0.89721 [0.875,0.925532,0.91195,0.882716,0.922078,0.958333,0.948718,0.844444,0.792683]
precision
0.90866 [0.853659,0.927835,0.907975,0.945946,0.906667,0.93,0.966102,0.846939,0.866667]
precision
0.912227 [0.905172,0.908163,0.943038,0.914474,0.946667,0.94898,0.982759,0.775701,0.857143]
precision
0.894843 [0.853659,0.833333,0.933333,0.901961,0.971014,0.921569,0.965812,0.821053,0.825]
precision
0.899762 [0.913043,0.896907,0.89441,0.92517,0.945946,0.93,0.956897,0.784314,0.835294]
precision
0.884689 [0.853448,0.926316,0.877301,0.898734,0.945946,0.948454,0.954955,0.785047,0.76]
precision
0.890424 [0.848,0.81982,0.915033,0.924658,0.932432,0.94,0.964912,0.816327,0.813333]
precision
0.907785 [0.889831,0.923077,0.918239,0.91195,0.972222,0.912621,0.956522,0.840426,0.835294]
precision
0.89425 [0.891892,0.904255,0.871345,0.950704,0.923077,0.94898,0.957983,0.733333,0.846154]
precision
0.883025 [0.843478,0.934066,0.91411,0.853659,0.907895,0.888889,0.965217,0.773196,0.855263]
precision
0.886615 [0.858333,0.923077,0.907407,0.865031,0.934211,0.978495,0.948276,0.77551,0.779221]
precision
0.891895 [0.864407,0.910112,0.929032,0.888889,1,0.913462,0.957265,0.787037,0.753247]
precision
0.907045 [0.91453,0.888889,0.927632,0.895706,0.933333,0.969072,0.956522,0.784946,0.882353]
precision
0.90818 [0.913043,0.897959,0.932886,0.910256,0.9375,0.958763,0.956522,0.796296,0.846154]
precision
0.907234 [0.886957,0.917526,0.924528,0.933775,0.945205,0.930693,0.949153,0.841584,0.802469]
precision
0.904395 [0.887097,0.886792,0.9,0.940789,0.907895,0.947368,0.965812,0.785714,0.897059]
precision
0.902754 [0.889831,0.90625,0.899371,0.895062,0.957746,0.919192,0.982456,0.83871,0.833333]
precision
0.898663 [0.90678,0.927083,0.869048,0.896104,0.911392,0.94,0.947826,0.840909,0.858974]
precision
0.903141 [0.886957,0.931818,0.896341,0.91195,0.986842,0.939394,0.947826,0.780952,0.853333]
precision
0.911792 [0.900826,0.965909,0.943396,0.885542,0.929577,0.95,0.972973,0.792079,0.848101]
precision
0.90683 [0.919643,0.852941,0.924051,0.90566,0.96,0.957895,0.973451,0.783505,0.870588]
precision
0.919369 [0.928571,0.930693,0.923077,0.898734,0.9375,0.978947,0.939655,0.831579,0.915663]
precision
0.912501 [0.915966,0.947917,0.917722,0.908497,0.916667,0.94,0.965812,0.813725,0.873418]
precision
0.912028 [0.89916,0.911765,0.922581,0.958333,0.944444,0.959184,0.948276,0.770642,0.864198]
precision
0.905267 [0.883333,0.925532,0.923077,0.873418,0.971429,0.939394,0.955752,0.809524,0.876543]
precision
0.893895 [0.870968,0.913978,0.900621,0.892405,0.922078,0.948454,0.931034,0.820225,0.839506]
precision
0.909839 [0.897436,0.91,0.90625,0.873418,0.962025,0.94898,0.949153,0.842105,0.929577]
precision
0.908923 [0.9,0.9375,0.917722,0.895062,0.973333,0.959184,0.965517,0.79798,0.833333]
precision
0.90542 [0.876033,0.897959,0.91195,0.910959,0.946667,0.989362,0.981982,0.777778,0.845238]
precision
0.902568 [0.882353,0.915789,0.895062,0.903846,0.959459,0.932039,0.940171,0.806122,0.902778]
precision
0.896686 [0.880342,0.913978,0.908537,0.910256,0.944444,0.92,0.965517,0.773585,0.833333]
precision
0.896422 [0.928571,0.913978,0.898734,0.898734,0.910256,0.912621,0.964912,0.77451,0.846154]
precision
0.9104 [0.93578,0.895833,0.949045,0.90625,0.901235,0.94898,0.964912,0.821053,0.825581]
precision
0.906235 [0.919643,0.902174,0.91411,0.892405,0.915493,0.914286,0.957627,0.863158,0.865854]
precision
0.909789 [0.890756,0.927083,0.915152,0.903226,0.945946,0.958763,0.956522,0.815534,0.875]
precision
0.904589 [0.904348,0.906977,0.932515,0.9,0.96,0.87156,0.973214,0.784314,0.891892]
precision
0.894126 [0.901786,0.912088,0.930818,0.910828,0.957746,0.913462,0.94958,0.794118,0.728395]
precision
0.870476 [0.894737,0.863158,0.898649,0.900662,0.876543,0.929293,0.907563,0.711712,0.807692]
precision
0.901309 [0.917431,0.924731,0.935065,0.884615,0.9,0.903846,0.974138,0.792453,0.846154]
precision
0.893908 [0.883333,0.9,0.907975,0.919463,0.985915,0.908163,0.965217,0.802198,0.741573]
precision
0.904031 [0.924528,0.91,0.903846,0.926667,0.901235,0.95,0.95,0.826531,0.811765]
precision
0.900217 [0.860656,0.92,0.945578,0.907895,0.984615,0.94898,0.956897,0.717949,0.835443]
precision
0.913158 [0.905172,0.878788,0.91411,0.867925,1,0.947917,0.948276,0.897727,0.890244]
precision
0.904281 [0.889831,0.904255,0.904459,0.904459,0.876543,0.969072,0.933333,0.825243,0.927536]
precision
0.901517 [0.868852,0.854369,0.89441,0.892405,0.96,0.969388,0.949153,0.862069,0.878378]
precision
0.905734 [0.938053,0.903846,0.934211,0.895425,0.881579,0.941176,0.927419,0.833333,0.868421]
precision
0.905265 [0.871795,0.87,0.941558,0.919463,0.986486,0.938144,0.957265,0.768519,0.875]
precision
0.897097 [0.905172,0.876289,0.90604,0.878981,0.972222,0.940594,1,0.786408,0.797753]
precision
0.899716 [0.882353,0.857143,0.915033,0.88961,0.945205,0.90566,0.963303,0.852941,0.88]
precision
0.920591 [0.930435,0.909091,0.917722,0.916129,0.985915,0.96,0.956897,0.849462,0.865169]
precision
0.913899 [0.912281,0.957447,0.876404,0.944056,0.897436,0.931373,0.982456,0.817204,0.9]
precision
0.905113 [0.881356,0.923913,0.955414,0.945578,0.888889,0.947917,0.933333,0.764706,0.843373]
precision
0.889315 [0.85124,0.89899,0.859649,0.873418,0.957746,0.949495,0.955357,0.829787,0.859155]
precision
0.900514 [0.888889,0.90625,0.924051,0.861446,0.935897,0.95,0.95614,0.806452,0.878378]
precision
0.925265 [0.898305,0.945055,0.933735,0.923077,0.986301,0.95098,0.990826,0.848485,0.841463]
precision
0.901695 [0.889831,0.916667,0.920245,0.908497,0.910256,0.929293,0.965217,0.821053,0.822785]
precision
0.902428 [0.876033,0.89,0.88024,0.888158,0.972222,0.979381,0.954545,0.84375,0.864198]
precision
0.907872 [0.90991,0.907216,0.944444,0.913907,1,0.91,0.948718,0.773585,0.843373]
precision
0.904602 [0.911504,0.916667,0.935065,0.88535,0.958904,0.930693,0.933884,0.826087,0.831461]
precision
0.891578 [0.888889,0.885417,0.935065,0.865385,0.923077,0.95,0.95,0.79798,0.802632]
precision
0.896544 [0.81746,0.865385,0.94,0.914474,0.985294,0.957895,0.947826,0.805825,0.807229]
precision
0.902774 [0.871795,0.956044,0.910714,0.915033,0.947368,0.957447,0.939655,0.81,0.802469]
precision
0.890868 [0.911504,0.913978,0.931507,0.839286,0.9125,0.914286,0.973214,0.79,0.810127]
precision
0.901482 [0.889831,0.925532,0.940397,0.946667,0.961538,0.959596,0.932773,0.773585,0.728395]
precision
0.914629 [0.927928,0.90625,0.925,0.88535,0.973333,0.96875,0.956522,0.8,0.901235]
precision
0.907776 [0.862069,0.89899,0.911392,0.921053,0.948052,0.93,0.982301,0.857143,0.843373]
precision
0.906166 [0.854701,0.93617,0.916168,0.953333,0.972222,0.93,0.940678,0.76699,0.866667]
precision
0.910068 [0.872881,0.966292,0.905325,0.913907,0.882353,0.949495,0.966102,0.905882,0.804878]
precision
0.901272 [0.861789,0.864583,0.953642,0.888199,1,0.969388,0.966102,0.793814,0.790123]
precision
0.916111 [0.911504,0.907216,0.961039,0.884146,0.911392,0.969388,0.965217,0.891304,0.809524]
precision
0.886173 [0.889831,0.918605,0.901235,0.910345,0.957746,0.877358,0.982143,0.761905,0.736264]
precision
0.897614 [0.885965,0.912088,0.915152,0.865385,0.924051,0.967742,0.972973,0.815534,0.809524]
precision
0.903912 [0.867769,0.923077,0.926667,0.916129,0.946667,0.92233,0.942149,0.773585,0.905405]
precision
0.904638 [0.901786,0.925532,0.921212,0.88961,0.909091,0.892157,0.940678,0.845361,0.909091]
precision
0.901272 [0.928571,0.946809,0.922581,0.909677,0.884615,0.912621,0.965812,0.802083,0.790698]
precision
0.90045 [0.888889,0.923913,0.953947,0.871166,0.933333,0.911765,0.940171,0.803922,0.855263]
precision
0.903575 [0.888889,0.891089,0.934641,0.898089,0.925,0.930693,0.972973,0.814433,0.848101]
precision
0.916519 [0.918182,0.936842,0.914634,0.94,0.936709,0.938776,0.957627,0.815534,0.873418]
precision
0.904116 [0.885965,0.915789,0.945205,0.898089,0.972603,0.948454,0.965517,0.716667,0.871795]
precision
0.919893 [0.913043,0.927083,0.923567,0.909677,0.986301,0.921569,0.958333,0.854369,0.893333]
precision
0.910132 [0.920354,0.9,0.90184,0.945578,0.945946,0.932039,0.932203,0.838384,0.860759]
precision
0.897521 [0.898305,0.90625,0.891026,0.852761,0.985915,0.968421,0.990991,0.776699,0.831325]
precision
0.896106 [0.90991,0.905263,0.930818,0.903846,0.945946,0.91,0.99115,0.755102,0.766667]
precision
0.901498 [0.883333,0.90099,0.881657,0.923611,0.935897,0.968421,0.965517,0.787879,0.864865]
precision
0.885404 [0.87069,0.894737,0.922581,0.903226,0.933333,0.92,0.948276,0.764151,0.769231]
precision
0.916519 [0.904348,0.94186,0.937107,0.876543,0.972222,0.949495,0.982301,0.805825,0.885057]
precision
0.920641 [0.93578,0.936842,0.910714,0.919463,0.960526,0.969388,0.965517,0.845361,0.840909]
precision
0.906813 [0.87931,0.884615,0.89881,0.92517,0.947368,0.92,0.982609,0.816327,0.902778]
precision
0.899336 [0.848,0.93617,0.925466,0.908497,0.958904,0.958763,0.92562,0.810526,0.805195]
precision
0.895212 [0.881356,0.863158,0.910828,0.897436,0.91358,0.959184,0.964912,0.803922,0.84]
precision
0.900298 [0.877049,0.925532,0.915033,0.907285,0.961538,0.979167,0.957627,0.733333,0.835443]
precision
0.914229 [0.936364,0.867925,0.947712,0.94702,0.914634,0.930693,0.974138,0.814433,0.8375]
precision
0.891137 [0.890756,0.925532,0.890909,0.896104,0.934211,0.958763,0.918033,0.79,0.811594]
precision
0.910752 [0.885246,0.897959,0.921212,0.931973,0.949367,0.968421,0.982301,0.784314,0.853333]
precision
0.915051 [0.904348,0.919192,0.938272,0.933775,0.96,0.91,0.965517,0.824176,0.850575]
predictive_accuracy
0.895687
predictive_accuracy
0.887663
predictive_accuracy
0.887663
predictive_accuracy
0.89669
predictive_accuracy
0.912738
predictive_accuracy
0.897693
predictive_accuracy
0.908726
predictive_accuracy
0.911735
predictive_accuracy
0.893681
predictive_accuracy
0.899699
predictive_accuracy
0.884538
predictive_accuracy
0.889558
predictive_accuracy
0.907631
predictive_accuracy
0.893574
predictive_accuracy
0.88253
predictive_accuracy
0.886546
predictive_accuracy
0.890562
predictive_accuracy
0.907631
predictive_accuracy
0.907631
predictive_accuracy
0.907631
predictive_accuracy
0.904618
predictive_accuracy
0.90261
predictive_accuracy
0.899598
predictive_accuracy
0.90261
predictive_accuracy
0.910643
predictive_accuracy
0.906627
predictive_accuracy
0.919679
predictive_accuracy
0.912651
predictive_accuracy
0.910643
predictive_accuracy
0.903614
predictive_accuracy
0.894578
predictive_accuracy
0.909639
predictive_accuracy
0.909639
predictive_accuracy
0.903614
predictive_accuracy
0.90261
predictive_accuracy
0.896586
predictive_accuracy
0.896586
predictive_accuracy
0.910643
predictive_accuracy
0.906627
predictive_accuracy
0.909639
predictive_accuracy
0.903614
predictive_accuracy
0.894578
predictive_accuracy
0.869478
predictive_accuracy
0.900602
predictive_accuracy
0.893574
predictive_accuracy
0.904618
predictive_accuracy
0.895582
predictive_accuracy
0.912651
predictive_accuracy
0.903614
predictive_accuracy
0.901606
predictive_accuracy
0.906627
predictive_accuracy
0.903614
predictive_accuracy
0.895582
predictive_accuracy
0.898594
predictive_accuracy
0.920683
predictive_accuracy
0.913655
predictive_accuracy
0.904618
predictive_accuracy
0.888554
predictive_accuracy
0.900602
predictive_accuracy
0.924699
predictive_accuracy
0.90261
predictive_accuracy
0.901606
predictive_accuracy
0.906627
predictive_accuracy
0.904618
predictive_accuracy
0.89257
predictive_accuracy
0.893574
predictive_accuracy
0.90261
predictive_accuracy
0.889558
predictive_accuracy
0.901606
predictive_accuracy
0.913655
predictive_accuracy
0.907631
predictive_accuracy
0.905622
predictive_accuracy
0.909639
predictive_accuracy
0.900602
predictive_accuracy
0.915663
predictive_accuracy
0.883534
predictive_accuracy
0.896586
predictive_accuracy
0.90261
predictive_accuracy
0.904618
predictive_accuracy
0.901606
predictive_accuracy
0.899598
predictive_accuracy
0.903614
predictive_accuracy
0.916667
predictive_accuracy
0.899598
predictive_accuracy
0.919679
predictive_accuracy
0.910643
predictive_accuracy
0.895582
predictive_accuracy
0.895582
predictive_accuracy
0.901606
predictive_accuracy
0.885542
predictive_accuracy
0.914659
predictive_accuracy
0.920683
predictive_accuracy
0.906627
predictive_accuracy
0.899598
predictive_accuracy
0.895582
predictive_accuracy
0.899598
predictive_accuracy
0.914659
predictive_accuracy
0.89257
predictive_accuracy
0.910643
predictive_accuracy
0.915663
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
prior_entropy
3.132137
recall
0.895687 [0.954128,0.838384,0.888199,0.932432,0.949367,0.958333,0.965812,0.764706,0.77907]
recall
0.887663 [0.936364,0.818182,0.895062,0.959184,0.910256,0.96875,0.957265,0.764706,0.709302]
recall
0.887663 [0.945455,0.878788,0.888889,0.92517,0.910256,0.9375,0.931624,0.813725,0.709302]
recall
0.89669 [0.926606,0.909091,0.888889,0.966216,0.871795,0.9375,0.940171,0.813725,0.755814]
recall
0.912738 [0.927273,0.878788,0.937888,0.952703,0.936709,0.947917,0.957265,0.841584,0.77907]
recall
0.897693 [0.954545,0.878788,0.900621,0.966216,0.910256,0.958333,0.948718,0.752475,0.747126]
recall
0.908726 [0.963303,0.909091,0.919255,0.952381,0.860759,0.958763,0.974359,0.813725,0.755814]
recall
0.911735 [0.954545,0.89899,0.925466,0.939189,0.910256,0.96875,0.974359,0.821782,0.758621]
recall
0.893681 [0.963303,0.9,0.864198,0.932432,0.858974,0.979167,0.965812,0.772277,0.767442]
recall
0.899699 [0.963303,0.878788,0.888889,0.92517,0.886076,0.96875,0.948718,0.792079,0.816092]
recall
0.884538 [0.908257,0.888889,0.888199,0.959459,0.886076,0.958333,0.905983,0.831683,0.662791]
recall
0.889558 [0.963636,0.919192,0.864198,0.918367,0.884615,0.979167,0.940171,0.792079,0.709302]
recall
0.907631 [0.954545,0.848485,0.901235,0.986395,0.897436,0.979167,0.940171,0.782178,0.825581]
recall
0.893574 [0.908257,0.858586,0.925466,0.912162,0.911392,0.96875,0.974359,0.762376,0.767442]
recall
0.88253 [0.881818,0.858586,0.925466,0.945946,0.884615,0.916667,0.948718,0.742574,0.755814]
recall
0.886546 [0.936364,0.84,0.913043,0.959184,0.910256,0.947917,0.940171,0.752475,0.697674]
recall
0.890562 [0.93578,0.818182,0.89441,0.972973,0.846154,0.979381,0.957265,0.841584,0.674419]
recall
0.907631 [0.972727,0.888889,0.875776,0.986486,0.897436,0.979167,0.940171,0.722772,0.872093]
recall
0.907631 [0.954545,0.888889,0.863354,0.965986,0.949367,0.96875,0.940171,0.851485,0.767442]
recall
0.907631 [0.93578,0.89,0.907407,0.959184,0.884615,0.979167,0.957265,0.841584,0.755814]
recall
0.904618 [1,0.949495,0.89441,0.966216,0.884615,0.9375,0.965812,0.762376,0.709302]
recall
0.90261 [0.954545,0.878788,0.882716,0.986395,0.871795,0.947917,0.957265,0.772277,0.813953]
recall
0.899598 [0.972727,0.89899,0.901235,0.938776,0.923077,0.979167,0.931624,0.732673,0.77907]
recall
0.90261 [0.93578,0.82,0.913043,0.986395,0.949367,0.96875,0.931624,0.811881,0.744186]
recall
0.910643 [0.990909,0.858586,0.931677,0.993243,0.846154,0.989583,0.923077,0.792079,0.77907]
recall
0.906627 [0.936364,0.878788,0.906832,0.979592,0.911392,0.947917,0.940171,0.752475,0.860465]
recall
0.919679 [0.954128,0.94,0.89441,0.959459,0.961538,0.96875,0.931624,0.782178,0.883721]
recall
0.912651 [0.990909,0.919192,0.900621,0.939189,0.846154,0.979167,0.965812,0.821782,0.802326]
recall
0.910643 [0.972727,0.939394,0.888199,0.938776,0.860759,0.979167,0.940171,0.831683,0.813953]
recall
0.903614 [0.963636,0.878788,0.888889,0.938776,0.871795,0.96875,0.923077,0.841584,0.825581]
recall
0.894578 [0.981818,0.858586,0.895062,0.959184,0.910256,0.958333,0.923077,0.722772,0.790698]
recall
0.909639 [0.954545,0.919192,0.895062,0.938776,0.974359,0.96875,0.957265,0.792079,0.767442]
recall
0.909639 [0.981818,0.909091,0.895062,0.986395,0.935897,0.979167,0.957265,0.782178,0.697674]
recall
0.903614 [0.963636,0.888889,0.900621,0.904762,0.910256,0.96875,0.931624,0.831683,0.816092]
recall
0.90261 [0.954545,0.878788,0.895062,0.959184,0.910256,1,0.940171,0.782178,0.755814]
recall
0.896586 [0.936364,0.858586,0.925466,0.965986,0.860759,0.958333,0.957265,0.811881,0.697674]
recall
0.896586 [0.945455,0.858586,0.881988,0.959459,0.910256,0.979167,0.940171,0.782178,0.767442]
recall
0.910643 [0.927273,0.868687,0.925466,0.986395,0.924051,0.96875,0.940171,0.772277,0.825581]
recall
0.906627 [0.936364,0.838384,0.925466,0.959184,0.833333,0.989691,0.965812,0.811881,0.825581]
recall
0.909639 [0.963636,0.89899,0.932099,0.952381,0.897436,0.96875,0.940171,0.831683,0.732558]
recall
0.903614 [0.945455,0.787879,0.938272,0.979592,0.923077,0.989583,0.931624,0.792079,0.767442]
recall
0.894578 [0.918182,0.838384,0.919255,0.972789,0.860759,0.989583,0.965812,0.80198,0.686047]
recall
0.869478 [0.927273,0.828283,0.826087,0.92517,0.910256,0.948454,0.923077,0.782178,0.732558]
recall
0.900602 [0.909091,0.868687,0.89441,0.938776,0.923077,0.969072,0.965812,0.831683,0.767442]
recall
0.893574 [0.963636,0.909091,0.91358,0.931973,0.897436,0.927083,0.948718,0.722772,0.767442]
recall
0.904618 [0.890909,0.919192,0.875776,0.945578,0.935897,0.979381,0.974359,0.80198,0.802326]
recall
0.895582 [0.954545,0.929293,0.858025,0.938776,0.820513,0.96875,0.948718,0.831683,0.767442]
recall
0.912651 [0.954545,0.878788,0.925466,0.938776,0.974684,0.947917,0.940171,0.782178,0.848837]
recall
0.903614 [0.954545,0.858586,0.881988,0.965986,0.910256,0.969072,0.957265,0.841584,0.744186]
recall
0.901606 [0.963636,0.888889,0.89441,0.959184,0.923077,0.979381,0.957265,0.742574,0.755814]
recall
0.906627 [0.963636,0.949495,0.876543,0.931973,0.858974,1,0.982906,0.792079,0.767442]
recall
0.903614 [0.927273,0.878788,0.900621,0.931973,0.924051,0.947917,0.957265,0.821782,0.813953]
recall
0.895582 [0.954545,0.858586,0.838509,0.938776,0.897436,0.979381,0.957265,0.80198,0.825581]
recall
0.898594 [0.954545,0.909091,0.869565,0.931973,0.884615,0.989691,0.897436,0.861386,0.767442]
recall
0.920683 [0.972727,0.909091,0.895062,0.965986,0.897436,1,0.948718,0.782178,0.895349]
recall
0.913655 [0.945455,0.909091,0.968944,0.918367,0.897436,0.979381,0.957265,0.752475,0.837209]
recall
0.904618 [0.945455,0.858586,0.925926,0.945578,0.923077,0.947917,0.957265,0.772277,0.813953]
recall
0.888554 [0.944954,0.89,0.913043,0.938776,0.871795,0.969072,0.91453,0.772277,0.709302]
recall
0.900602 [0.945455,0.878788,0.906832,0.972789,0.935897,0.979381,0.931624,0.742574,0.755814]
recall
0.924699 [0.963636,0.868687,0.962733,0.979592,0.923077,1,0.923077,0.831683,0.802326]
recall
0.90261 [0.954545,0.888889,0.925926,0.945578,0.910256,0.958333,0.948718,0.772277,0.755814]
recall
0.901606 [0.972477,0.89899,0.913043,0.912162,0.897436,0.979381,0.897436,0.80198,0.813953]
recall
0.906627 [0.926606,0.888889,0.950311,0.932432,0.884615,0.938144,0.948718,0.811881,0.813953]
recall
0.904618 [0.936364,0.888889,0.89441,0.945578,0.897436,0.969072,0.965812,0.752475,0.860465]
recall
0.89257 [0.954128,0.858586,0.888889,0.918367,0.923077,0.989583,0.974359,0.782178,0.701149]
recall
0.893574 [0.944954,0.909091,0.87037,0.945578,0.858974,0.938144,0.931624,0.821782,0.77907]
recall
0.90261 [0.927273,0.878788,0.944444,0.952381,0.923077,0.9375,0.931624,0.80198,0.755814]
recall
0.889558 [0.944954,0.858586,0.839506,0.959184,0.935897,0.989691,0.931624,0.782178,0.744186]
recall
0.901606 [0.954545,0.878788,0.881988,0.965986,0.961538,0.989583,0.948718,0.803922,0.686047]
recall
0.913655 [0.936364,0.878788,0.919255,0.945578,0.935897,0.958763,0.940171,0.831683,0.848837]
recall
0.907631 [0.909091,0.89899,0.89441,0.952381,0.935897,0.958763,0.948718,0.831683,0.813953]
recall
0.905622 [0.917431,0.888889,0.950311,0.966216,0.897436,0.958763,0.948718,0.782178,0.755814]
recall
0.909639 [0.944954,0.868687,0.950311,0.932432,0.949367,0.979167,0.974359,0.762376,0.767442]
recall
0.900602 [0.963636,0.838384,0.888889,0.972789,0.910256,0.989583,0.974359,0.762376,0.744186]
recall
0.915663 [0.944954,0.888889,0.919255,0.986395,0.923077,0.979381,0.948718,0.803922,0.790698]
recall
0.883534 [0.963303,0.79798,0.901235,0.897959,0.871795,0.96875,0.940171,0.784314,0.77907]
recall
0.896586 [0.918182,0.838384,0.932099,0.918367,0.935897,0.9375,0.923077,0.831683,0.790698]
recall
0.90261 [0.963303,0.848485,0.858025,0.965986,0.910256,0.979381,0.974359,0.811881,0.77907]
recall
0.904618 [0.926606,0.878788,0.938272,0.931973,0.897436,0.947917,0.948718,0.811881,0.804598]
recall
0.901606 [0.945455,0.89899,0.888199,0.952703,0.884615,0.979167,0.965812,0.762376,0.790698]
recall
0.899598 [0.954128,0.858586,0.900621,0.965986,0.897436,0.958763,0.940171,0.811881,0.747126]
recall
0.903614 [0.954128,0.909091,0.888199,0.952703,0.948718,0.969072,0.923077,0.782178,0.77907]
recall
0.916667 [0.926606,0.89899,0.931677,0.952703,0.936709,0.958333,0.965812,0.831683,0.802326]
recall
0.899598 [0.918182,0.878788,0.851852,0.959184,0.910256,0.958333,0.957265,0.851485,0.790698]
recall
0.919679 [0.963303,0.89,0.900621,0.959184,0.923077,0.969072,0.982906,0.871287,0.77907]
recall
0.910643 [0.954128,0.909091,0.907407,0.939189,0.897436,1,0.940171,0.821782,0.790698]
recall
0.895582 [0.963636,0.878788,0.863354,0.945578,0.897436,0.958333,0.940171,0.792079,0.793103]
recall
0.895582 [0.926606,0.868687,0.91358,0.959184,0.897436,0.947917,0.957265,0.72549,0.802326]
recall
0.901606 [0.972477,0.919192,0.919753,0.898649,0.935897,0.958333,0.957265,0.772277,0.744186]
recall
0.885542 [0.926606,0.858586,0.888199,0.945946,0.897436,0.958333,0.940171,0.794118,0.697674]
recall
0.914659 [0.954128,0.81,0.925466,0.965986,0.897436,0.969072,0.948718,0.821782,0.895349]
recall
0.920683 [0.93578,0.89,0.950311,0.931973,0.935897,0.989583,0.957265,0.811881,0.850575]
recall
0.906627 [0.93578,0.92,0.937888,0.92517,0.923077,0.958333,0.965812,0.792079,0.747126]
recall
0.899598 [0.972477,0.888889,0.919753,0.939189,0.897436,0.96875,0.957265,0.762376,0.72093]
recall
0.895582 [0.954128,0.828283,0.888199,0.952381,0.936709,0.969072,0.940171,0.811881,0.732558]
recall
0.899598 [0.981651,0.878788,0.864198,0.925676,0.961538,0.979167,0.965812,0.762376,0.767442]
recall
0.914659 [0.944954,0.929293,0.900621,0.972789,0.949367,0.969072,0.965812,0.782178,0.77907]
recall
0.89257 [0.963636,0.878788,0.907407,0.938776,0.910256,0.96875,0.957265,0.782178,0.651163]
recall
0.910643 [0.990826,0.888889,0.938272,0.925676,0.961538,0.958333,0.948718,0.792079,0.744186]
recall
0.915663 [0.954128,0.919192,0.944099,0.952703,0.911392,0.947917,0.957265,0.742574,0.860465]
relative_absolute_error
0.118158
relative_absolute_error
0.127254
relative_absolute_error
0.127254
relative_absolute_error
0.117033
relative_absolute_error
0.098845
relative_absolute_error
0.115888
relative_absolute_error
0.103382
relative_absolute_error
0.099982
relative_absolute_error
0.120441
relative_absolute_error
0.113613
relative_absolute_error
0.130789
relative_absolute_error
0.125109
relative_absolute_error
0.104637
relative_absolute_error
0.120553
relative_absolute_error
0.133068
relative_absolute_error
0.128512
relative_absolute_error
0.123968
relative_absolute_error
0.104635
relative_absolute_error
0.104627
relative_absolute_error
0.104635
relative_absolute_error
0.108047
relative_absolute_error
0.110323
relative_absolute_error
0.113735
relative_absolute_error
0.110311
relative_absolute_error
0.101223
relative_absolute_error
0.105764
relative_absolute_error
0.090986
relative_absolute_error
0.098948
relative_absolute_error
0.101215
relative_absolute_error
0.109186
relative_absolute_error
0.119422
relative_absolute_error
0.102362
relative_absolute_error
0.102362
relative_absolute_error
0.109177
relative_absolute_error
0.110323
relative_absolute_error
0.117136
relative_absolute_error
0.117146
relative_absolute_error
0.101215
relative_absolute_error
0.105766
relative_absolute_error
0.102362
relative_absolute_error
0.109186
relative_absolute_error
0.119411
relative_absolute_error
0.147845
relative_absolute_error
0.11259
relative_absolute_error
0.120559
relative_absolute_error
0.108041
relative_absolute_error
0.118285
relative_absolute_error
0.09894
relative_absolute_error
0.109178
relative_absolute_error
0.111452
relative_absolute_error
0.105774
relative_absolute_error
0.109176
relative_absolute_error
0.118276
relative_absolute_error
0.114864
relative_absolute_error
0.089851
relative_absolute_error
0.097805
relative_absolute_error
0.108049
relative_absolute_error
0.126235
relative_absolute_error
0.11259
relative_absolute_error
0.085295
relative_absolute_error
0.110323
relative_absolute_error
0.111457
relative_absolute_error
0.105771
relative_absolute_error
0.108041
relative_absolute_error
0.121694
relative_absolute_error
0.120558
relative_absolute_error
0.110323
relative_absolute_error
0.125107
relative_absolute_error
0.111453
relative_absolute_error
0.097805
relative_absolute_error
0.104629
relative_absolute_error
0.106908
relative_absolute_error
0.102356
relative_absolute_error
0.112598
relative_absolute_error
0.09553
relative_absolute_error
0.131932
relative_absolute_error
0.117147
relative_absolute_error
0.110322
relative_absolute_error
0.108046
relative_absolute_error
0.111459
relative_absolute_error
0.113724
relative_absolute_error
0.109183
relative_absolute_error
0.094395
relative_absolute_error
0.113735
relative_absolute_error
0.09098
relative_absolute_error
0.101229
relative_absolute_error
0.118275
relative_absolute_error
0.118284
relative_absolute_error
0.111465
relative_absolute_error
0.129655
relative_absolute_error
0.096667
relative_absolute_error
0.089842
relative_absolute_error
0.105764
relative_absolute_error
0.11374
relative_absolute_error
0.118272
relative_absolute_error
0.11374
relative_absolute_error
0.096664
relative_absolute_error
0.121697
relative_absolute_error
0.101229
relative_absolute_error
0.095533
root_mean_prior_squared_error
0.3132
root_mean_prior_squared_error
0.313184
root_mean_prior_squared_error
0.313184
root_mean_prior_squared_error
0.31317
root_mean_prior_squared_error
0.313197
root_mean_prior_squared_error
0.313194
root_mean_prior_squared_error
0.313218
root_mean_prior_squared_error
0.313194
root_mean_prior_squared_error
0.313171
root_mean_prior_squared_error
0.3132
root_mean_prior_squared_error
0.313194
root_mean_prior_squared_error
0.313178
root_mean_prior_squared_error
0.313178
root_mean_prior_squared_error
0.313194
root_mean_prior_squared_error
0.313183
root_mean_prior_squared_error
0.3132
root_mean_prior_squared_error
0.313188
root_mean_prior_squared_error
0.313183
root_mean_prior_squared_error
0.313208
root_mean_prior_squared_error
0.313182
root_mean_prior_squared_error
0.313183
root_mean_prior_squared_error
0.313178
root_mean_prior_squared_error
0.313178
root_mean_prior_squared_error
0.313212
root_mean_prior_squared_error
0.313183
root_mean_prior_squared_error
0.313208
root_mean_prior_squared_error
0.313187
root_mean_prior_squared_error
0.313183
root_mean_prior_squared_error
0.313208
root_mean_prior_squared_error
0.313178
root_mean_prior_squared_error
0.313178
root_mean_prior_squared_error
0.313178
root_mean_prior_squared_error
0.313178
root_mean_prior_squared_error
0.313205
root_mean_prior_squared_error
0.313178
root_mean_prior_squared_error
0.313208
root_mean_prior_squared_error
0.313183
root_mean_prior_squared_error
0.313208
root_mean_prior_squared_error
0.313201
root_mean_prior_squared_error
0.313178
root_mean_prior_squared_error
0.313178
root_mean_prior_squared_error
0.313208
root_mean_prior_squared_error
0.313201
root_mean_prior_squared_error
0.313201
root_mean_prior_squared_error
0.313178
root_mean_prior_squared_error
0.313201
root_mean_prior_squared_error
0.313178
root_mean_prior_squared_error
0.313208
root_mean_prior_squared_error
0.313201
root_mean_prior_squared_error
0.313201
root_mean_prior_squared_error
0.313178
root_mean_prior_squared_error
0.313208
root_mean_prior_squared_error
0.313201
root_mean_prior_squared_error
0.313201
root_mean_prior_squared_error
0.313178
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