184981
2
Joaquin Vanschoren
4235
Supervised Classification
predictive_accuracy
1078
weka.RandomTree(10)
1848
weka.classifiers.trees.RandomTree -- -K 0 -M 1.0 -V 0.001 -S 1
K
0
1078
M
1.0
1078
V
0.001
1078
S
1
1078
weka
weka_3.7.12
395
re1.wc
https://www.openml.org/data/download/52507/re1.wc.arff
-1
611746
description
https://api.openml.org/data/download/611746/weka_generated_run3097475705586833104.xml
-1
611749
model_readable
https://api.openml.org/data/download/611749/WekaModel_weka.classifiers.trees.RandomTree1533459414291368587.model
-1
611748
model_serialized
https://api.openml.org/data/download/611748/WekaSerialized_weka.classifiers.trees.RandomTree7292917820809984876.model
-1
611747
predictions
https://api.openml.org/data/download/611747/weka_generated_predictions5470086698643525993.arff
area_under_roc_curve
0.690116 [0.579348,0.640174,0.716781,0.716941,0.717195,0.57141,0.73951,0.727766,0.574091,0.793838,0.718362,0.550807,0.599589,0.529283,0.583245,0.612142,0.651109,0.545516,0.613851,0.662016,0.697337,0.647651,0.650516,0.554971,0.572237]
average_cost
0
f_measure
0.443188 [0.175325,0.278846,0.436181,0.461997,0.432855,0.143646,0.582954,0.415179,0.157609,0.593872,0.562003,0.123711,0.238727,0.068259,0.191235,0.239686,0.307692,0.104348,0.253707,0.391897,0.429837,0.347267,0.319546,0.116456,0.145631]
kappa
0.37331
kb_relative_information_score
6091.492843
mean_absolute_error
0.044459
mean_prior_absolute_error
0.070994
number_of_instances
16570 [310,200,480,990,370,170,3300,200,190,870,3710,310,420,150,270,500,130,180,320,1370,1060,180,600,190,100]
os_information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
precision
0.442227 [0.176471,0.268519,0.421359,0.454545,0.418136,0.135417,0.583485,0.375,0.162921,0.576216,0.552632,0.132353,0.269461,0.06993,0.206897,0.235521,0.307692,0.109091,0.268293,0.420217,0.424885,0.412214,0.311216,0.112195,0.141509]
predictive_accuracy
0.445263
prior_entropy
3.812516
recall
0.445263 [0.174194,0.29,0.452083,0.469697,0.448649,0.152941,0.582424,0.465,0.152632,0.612644,0.571698,0.116129,0.214286,0.066667,0.177778,0.244,0.307692,0.1,0.240625,0.367153,0.434906,0.3,0.328333,0.121053,0.15]
relative_absolute_error
0.626226
root_mean_prior_squared_error
0.188293
root_mean_squared_error
0.210653
root_relative_squared_error
1.118753
scimark_benchmark
1333.579873 [787.1121737118738, 1005.1929850806725, 544.2178393368769, 1111.2505451599056, 3220.1258241882724]
total_cost
0
usercpu_time_millis
420
usercpu_time_millis_testing
10
usercpu_time_millis_training
410
area_under_roc_curve
0.656331 [0.496914,0.496951,0.796894,0.740385,0.612654,0.496951,0.746411,0.743902,0.493902,0.869781,0.632935,0.484663,0.496914,0.493939,0.490854,0.787578,0.746951,0.487805,0.493865,0.550779,0.636657,0.993939,0.555208,0.496951,0.493939]
area_under_roc_curve
0.740741 [0.493865,0.746951,0.740741,0.677564,0.621914,0.5,0.792094,0.984756,0.746951,0.539632,0.822985,0.493865,0.7,0.493902,0.493902,0.696894,1,0.493902,0.5,0.711161,0.948094,0.5,0.904167,0.5,0.5]
area_under_roc_curve
0.708853 [0.5,0.743902,0.734568,0.630769,0.75,0.5,0.71645,0.5,0.75,0.990446,0.742615,0.48773,0.618827,0.49697,0.496951,0.487578,0.75,0.5,0.663599,0.765977,0.81173,0.996951,0.570833,0.487805,0.49697]
area_under_roc_curve
0.731157 [0.490798,0.75,0.693789,0.877564,0.612654,0.75,0.754158,0.75,0.5,0.875,0.741043,0.657464,0.743827,0.490909,0.651329,0.590683,0.493902,0.75,1,0.632989,0.774359,0.75,0.827083,0.5,0.49697]
area_under_roc_curve
0.74076 [0.833333,0.75,0.693789,0.787179,0.660532,0.493939,0.805537,0.493902,0.496951,0.938075,0.77426,0.666667,0.693789,0.493939,0.5,0.6,1,0.493902,0.663599,0.682504,0.727566,0.5,0.7375,0.493902,0.990909]
area_under_roc_curve
0.659669 [0.496914,0.493902,0.790683,0.671154,0.75,0.490909,0.663135,0.743902,0.493902,0.8125,0.627069,0.660532,0.603395,0.496951,0.48773,0.591304,0.5,0.743902,0.827198,0.671523,0.659238,0.996951,0.734375,0.487879,0.493939]
area_under_roc_curve
0.735836 [0.990798,0.496951,1,0.940385,0.615741,0.5,0.822283,0.496951,0.743902,0.934335,0.74691,0.651329,0.606481,0.5,0.496933,0.593789,0.493939,0.493939,0.743827,0.577538,0.798827,0.5,0.570833,0.493902,0.5]
area_under_roc_curve
0.656938 [0.651329,0.75,0.612654,0.637179,0.821063,0.493902,0.663249,0.493902,0.5,0.868671,0.699219,0.490798,0.490683,0.493902,0.490798,0.487578,0.493939,0.5,0.478528,0.714429,0.682111,0.996951,0.570833,0.737805,0.490909]
area_under_roc_curve
0.687109 [0.660532,0.496951,0.612654,0.74359,0.990798,0.487805,0.712463,0.746951,0.493902,0.823779,0.752775,0.496933,0.731481,0.5,0.493902,0.581988,0.490909,0.496951,0.865741,0.557315,0.62346,0.746951,0.48125,0.746951,0.99697]
area_under_roc_curve
0.680869 [0.496914,0.493902,0.687578,0.571154,0.490741,0.5,0.695375,0.990854,0.487879,0.660297,0.810601,0.493865,0.490741,0.490909,0.493865,0.581366,0.75,0.493939,0.657464,0.714756,0.717595,0.496951,0.567708,0.75,0.993939]
area_under_roc_curve
0.702913 [0.824131,0.746951,0.790683,0.483974,0.625,0.490854,0.712577,0.740854,0.990909,0.882519,0.802849,0.657464,0.618827,0.496951,0.743902,0.493789,0.746951,0.5,0.490798,0.595777,0.844282,0.5,0.570833,0.743902,0.49697]
area_under_roc_curve
0.668686 [0.493865,0.75,0.5,0.590385,0.625,0.490909,0.773069,0.487805,0.49697,0.869781,0.655982,0.496914,0.584472,0.5,0.493902,0.57764,0.75,0.493902,0.814928,0.736551,0.57478,0.5,0.827083,0.481707,0.5]
area_under_roc_curve
0.683364 [0.663599,0.490854,0.793789,1,0.746914,0.5,0.693666,0.5,0.493939,0.81741,0.632935,0.663599,0.490741,0.493939,0.993902,0.784472,0.75,0.487805,0.496933,0.668233,0.701466,0.496951,0.577083,0.5,0.49697]
area_under_roc_curve
0.692258 [0.651329,0.496951,0.887578,0.780769,0.612654,0.5,0.810891,0.737805,1,0.715853,0.665829,0.5,0.609568,0.49697,0.5,0.590683,1,0.493902,0.496933,0.691259,0.643109,0.743902,0.561458,0.493902,0.493939]
area_under_roc_curve
0.711617 [0.493865,0.490854,0.790683,0.790385,0.740741,0.5,0.746639,0.493902,0.493939,0.740506,0.798973,0.651329,0.596894,0.5,0.490798,0.590683,0.5,0.5,0.496933,0.736842,0.740469,0.5,0.7375,0.5,0.49697]
area_under_roc_curve
0.691315 [0.496933,0.5,0.693789,0.677564,0.496914,0.496951,0.76555,0.496951,0.993939,0.712668,0.72753,0.484663,0.796894,0.493939,0.5,0.6,0.5,0.740854,0.811861,0.674812,0.767949,0.5,0.663542,0.5,0.5]
area_under_roc_curve
0.66049 [0.490741,0.984756,0.487578,0.737179,0.875,0.496951,0.686033,0.993902,0.75,0.803006,0.692227,0.484663,0.612654,0.5,0.5,0.575776,0.993939,0.5,0.657464,0.557315,0.626686,0.5,0.561458,0.743902,0.49697]
area_under_roc_curve
0.686633 [0.660532,0.493902,0.850309,0.683974,0.740741,0.490854,0.678401,0.493902,0.496951,0.746835,0.762309,0.496933,0.593789,0.496951,0.654397,0.681366,0.5,0.987879,0.48773,0.634238,0.756598,0.5,0.740625,0.496951,0.99697]
area_under_roc_curve
0.68575 [0.621914,0.5,0.493789,0.690385,0.666667,0.990909,0.70483,0.743902,0.746951,0.765039,0.71014,0.484663,0.618827,0.490854,0.493902,0.478261,0.49697,0.493902,0.496914,0.743087,0.88651,0.743902,0.740625,0.493902,0.487879]
area_under_roc_curve
0.731482 [0.5,0.487805,0.793789,0.633974,0.871914,0.746951,0.75393,0.746951,0.496951,0.807856,0.817096,0.490798,0.625,0.493939,0.821063,0.79441,0.5,0.990909,0.654397,0.694549,0.707918,0.993902,0.577083,0.487805,0.49697]
area_under_roc_curve
0.701439 [0.666667,0.496951,0.496894,0.730769,0.734568,0.5,0.738893,0.75,0.493902,0.885704,0.698827,0.651329,0.621914,0.5,0.740854,0.786335,0.746951,0.496951,0.657464,0.621166,0.834604,0.746951,0.577083,0.993939,0.493939]
area_under_roc_curve
0.677634 [0.484663,0.5,0.596894,0.567949,0.618827,0.487805,0.775461,0.996951,0.490854,0.777778,0.697046,0.830266,0.746914,0.490909,0.987805,0.575776,0.75,0.490854,0.746914,0.539709,0.626686,0.49697,0.638542,0.990909,0.5]
area_under_roc_curve
0.635587 [0.493865,0.75,0.7,0.87615,0.740741,0.496951,0.606402,0.743902,0.737805,0.872965,0.594176,0.496933,0.484568,0.496951,0.484663,0.787578,0.49697,0.5,0.493865,0.639098,0.568328,1,0.564583,0.493902,1]
area_under_roc_curve
0.681193 [0.660532,0.496951,0.893789,0.630769,0.993827,0.493939,0.761677,0.496951,0.996951,0.709483,0.658496,0.496933,0.481481,0.490909,0.490798,0.475155,0.49697,0.496951,0.490798,0.606673,0.71437,0.496951,0.907292,0.737805,1]
area_under_roc_curve
0.642239 [0.660532,0.469512,0.740741,0.830769,0.496914,0.75,0.629187,0.75,0.496951,0.865506,0.675257,0.645194,0.496914,0.496951,0.490798,0.581366,0.493939,0.496951,0.496933,0.580827,0.584457,0.75,0.657292,0.493902,0.5]
area_under_roc_curve
0.672742 [0.490798,0.731707,0.487578,0.683974,0.654397,0.734756,0.792208,0.75,0.5,0.706299,0.669705,0.496933,0.590683,0.49697,0.493865,0.687578,0.5,0.5,0.663599,0.697838,0.677564,0.75,0.561458,0.496951,0.490909]
area_under_roc_curve
0.684892 [0.490798,0.493902,0.590683,0.767949,0.830266,0.5,0.723855,0.746951,0.484756,0.709483,0.733396,0.615741,0.75,0.493939,0.490798,0.487578,0.493939,0.996951,0.824131,0.707893,0.617009,0.496951,0.657292,0.496951,0.487879]
area_under_roc_curve
0.684864 [0.651329,0.496951,0.796894,0.558333,0.618827,0.5,0.712577,0.75,0.496951,0.671677,0.749529,0.496933,0.487654,0.496951,0.660532,0.478261,0.743902,0.493939,0.666667,0.784816,0.831378,0.5,0.657292,0.5,0.5]
area_under_roc_curve
0.686181 [0.654397,0.746951,0.487578,0.787179,0.493865,0.493939,0.697425,0.737805,0.5,0.863411,0.712026,0.615741,0.493789,0.496951,0.740854,0.590683,0.993939,0.5,0.496933,0.668703,0.717595,0.5,0.910417,0.5,0.493939]
area_under_roc_curve
0.649186 [0.481595,0.496951,0.584472,0.601923,1,0.75,0.68216,0.487805,0.493902,0.863411,0.698617,0.484663,0.493789,0.993939,0.666667,0.585093,1,0.746951,0.490798,0.512688,0.740385,0.5,0.484375,0.5,0.493939]
area_under_roc_curve
0.670264 [0.660532,0.990854,0.493789,0.592003,0.868827,0.5,0.689679,0.75,0.487805,0.938075,0.677352,0.493865,0.496914,0.496951,0.654397,0.587578,0.493939,0.487805,0.654397,0.733083,0.637179,0.496951,0.728125,0.496951,0.5]
area_under_roc_curve
0.681857 [0.481595,0.496951,0.896894,0.696745,0.493827,0.5,0.784461,0.746951,0.5,0.806171,0.774146,0.490798,0.493827,0.493939,0.5,0.588199,0.490854,0.493902,0.493827,0.655545,0.604106,1,0.490625,0.47561,0.5]
area_under_roc_curve
0.692313 [0.490798,0.493902,0.7,0.84359,0.621914,0.743902,0.76555,0.5,0.496951,0.921677,0.709721,0.5,0.621914,0.75,0.493865,0.484472,0.49697,0.740854,0.654397,0.62312,0.704692,1,0.561458,0.493902,0.49697]
area_under_roc_curve
0.741802 [0.496933,0.496951,0.990683,0.84359,0.618827,0.487879,0.860105,0.740854,0.746951,0.872965,0.775718,0.663599,0.493827,0.493939,0.493865,0.691925,1,0.5,0.5,0.736842,0.568328,0.5,0.7375,0.496951,0.49697]
area_under_roc_curve
0.677655 [0.648262,1,0.862654,0.633974,0.618827,0.743902,0.682388,1,0.496951,0.799842,0.663838,0.657464,0.615741,0.493902,0.827198,0.790683,1,0.496951,0.657464,0.62312,0.62346,0.75,0.654167,0.496951,0.493939]
area_under_roc_curve
0.669625 [0.996933,0.496951,0.681366,0.724359,0.660532,0.5,0.685919,0.490854,0.493902,0.703114,0.675361,0.493865,0.746914,0.5,0.75,0.690683,0.746951,0.75,0.487654,0.645677,0.737179,0.493902,0.644792,0.493902,0.49697]
area_under_roc_curve
0.706116 [0.657464,0.493902,0.787578,0.737179,0.830266,0.75,0.727614,0.5,0.496951,0.81741,0.700712,0.817996,0.793789,0.490909,0.660532,0.691304,0.5,0.493902,0.651329,0.627702,0.707918,0.75,0.823958,0.490854,0.5]
area_under_roc_curve
0.714578 [0.490798,0.746951,0.596894,0.633974,0.621914,0.496951,0.803486,0.743902,0.493902,0.81741,0.786298,0.666667,0.493827,0.746951,0.657464,0.781366,0.746951,0.75,0.666667,0.62312,0.740385,0.49697,0.573958,0.49697,0.5]
area_under_roc_curve
0.711727 [0.496933,0.740854,0.696894,0.808333,0.743827,0.5,0.751196,0.743902,0.737805,0.768224,0.706369,0.5,0.493789,0.5,0.493865,0.690683,0.990909,0.5,0.496933,0.697838,0.847507,0.5,0.811458,0.743902,0.493939]
area_under_roc_curve
0.694459 [0.666667,0.75,0.7,0.641189,0.990798,0.75,0.754272,0.740854,0.496951,0.826964,0.675466,0.490798,0.593789,0.5,0.493902,0.481366,0.493939,0.740854,0.625,0.658835,0.883974,0.740854,0.651042,0.490854,0.490909]
area_under_roc_curve
0.726634 [0.663599,0.75,0.621914,0.774359,0.746914,0.490854,0.818638,0.743902,0.496951,0.826964,0.791326,0.5,0.490741,0.496951,0.666667,0.687578,0.49697,0.740854,0.496933,0.613252,0.730769,0.746951,0.746875,0.490854,0.49697]
area_under_roc_curve
0.726134 [0.666667,0.5,0.790683,0.64359,0.734568,0.5,0.784461,1,0.490854,0.734177,0.774146,0.657464,0.612654,0.49697,0.493865,0.575776,0.5,0.5,0.657464,0.697838,0.850733,0.743902,0.827083,0.496951,0.5]
area_under_roc_curve
0.647291 [0.484663,0.484756,0.793789,0.74359,0.743827,0.490854,0.663591,0.5,0.490854,0.809335,0.580767,0.666667,0.625,0.5,0.493865,0.493789,0.49697,0.490854,0.615741,0.666164,0.853959,0.490854,0.734375,0.487879,0.5]
area_under_roc_curve
0.661184 [0.493865,0.743902,0.693789,0.624359,0.827198,0.5,0.799727,0.743902,0.743902,0.826964,0.627069,0.490798,0.496914,0.5,0.663599,0.587578,0.49697,0.490854,0.660532,0.616541,0.558651,0.5,0.660417,0.493939,0.5]
area_under_roc_curve
0.691027 [0.651329,0.496951,0.687578,0.755485,0.737654,0.5,0.74288,0.740854,0.5,0.823779,0.748691,0.5,0.625,0.496951,0.657464,0.68882,0.5,0.493939,0.493827,0.522556,0.590385,0.99697,0.897917,0.740854,0.49697]
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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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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0.039639
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
0.071045
mean_prior_absolute_error
0.070987
mean_prior_absolute_error
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mean_prior_absolute_error
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number_of_instances
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number_of_instances
165 [4,2,5,10,3,1,33,2,2,9,37,3,4,1,3,5,1,2,3,13,11,2,6,2,1]
number_of_instances
165 [3,2,5,10,4,1,33,2,2,8,37,3,4,2,3,5,1,1,3,14,11,2,6,2,1]
number_of_instances
165 [3,2,4,10,4,2,33,2,2,8,37,3,4,2,3,5,1,1,4,14,10,2,6,2,1]
number_of_instances
165 [3,2,5,9,3,2,33,2,2,9,37,3,4,2,2,5,1,2,3,14,11,2,6,2,1]
number_of_instances
165 [3,2,4,10,4,2,33,2,1,9,37,3,4,2,3,5,1,2,3,13,11,2,6,2,1]
number_of_instances
165 [3,2,5,10,4,1,33,2,2,8,37,3,4,1,3,5,2,2,3,14,11,1,6,2,1]
precision
0.39766 [0,0,0.75,0.625,0.2,0,0.72,0.333333,0,0.538462,0.454545,0,0,0,0,0.428571,0.5,0,0,0.2,0.222222,0.333333,0.1,0,0]
precision
0.510002 [0,0.5,0.4,0.363636,0.5,0,0.605263,0.285714,0.5,0.166667,0.659091,0,1,0,0,0.666667,1,0,0,0.5,0.833333,0,0.555556,0,0]
precision
0.472873 [0,0.333333,0.285714,0.333333,1,0,0.5,0,1,0.75,0.545455,0,0.333333,0,0,0,1,0,0.5,0.571429,0.777778,0.666667,0.2,0,0]
precision
0.549248 [0,1,0.5,0.533333,0.2,1,0.606061,1,0,1,0.560976,0.25,0.5,0,0.166667,0.25,0,1,1,0.571429,0.428571,1,0.666667,0,0]
precision
0.563934 [1,1,0.5,0.6,0.333333,0,0.615385,0,0,0.8,0.641026,1,0.5,0,0,1,1,0,0.5,0.625,0.3,0,0.428571,0,0.25]
precision
0.43015 [0,0,0.5,0.307692,1,0,0.590909,0.333333,0,1,0.441176,0.333333,0.125,0,0,0.333333,0,0.333333,0.5,0.315789,0.363636,0.666667,0.375,0,0]
precision
0.499479 [0.5,0,1,0.75,0.25,0,0.685714,0,0.333333,0.875,0.628571,0.166667,0.142857,0,0,0.333333,0,0,0.5,0.25,0.538462,0,0.2,0,0]
precision
0.404689 [0.166667,1,0.2,0.428571,0.333333,0,0.518519,0,0,0.75,0.59375,0,0,0,0,0,0,0,0,0.545455,0.263158,0.666667,0.2,0.2,0]
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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precision
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precision
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precision
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precision
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precision
0.380993 [0,0.5,0,0.357143,1,0,0.6,0.5,0,0.833333,0.484848,0,0,0,0,0,0,0.25,0,0.4,0.235294,0,0,0,0]
precision
0.464098 [0.125,0,0.25,0.5,0.5,0,0.628571,0,0,0.5,0.513514,0.25,0.5,0,0.666667,0.166667,0,0,0,0.583333,0.8,1,0.125,0,0]
precision
0.442757 [0,0.5,0.428571,1,0.25,0,0.588235,1,0.333333,0.5,0.590909,0,0,0,0,0.5,0,0,0,0.461538,0.230769,0.5,0,0,0]
precision
0.473014 [0,0.666667,0.8,0.333333,0.4,0,0.689655,0,0.333333,0.666667,0.487805,0.25,0.666667,0,0.4,0.166667,0.25,1,0.5,0.181818,0.285714,0,1,0,0]
precision
0.441856 [0,0,0.555556,0.875,0.666667,0.25,0.576923,0.333333,0,0.5,0.475,0,0.333333,0,0,0.428571,0.5,0,0,0.444444,0.416667,0,0.4,0,0]
precision
0.408687 [0.5,0,0.6,0.5,1,0,0.533333,0.4,0,0.333333,0.567568,0,0,0,0.166667,0.2,0,0,0.75,0.2,0.25,1,0,0.333333,0]
precision
0.368259 [0,0,0.428571,0.416667,0.666667,0.5,0.487179,1,0,0.4,0.545455,0,0,0,0.333333,0.2,0,0,0,0.25,0.222222,0,0.4,0,0]
precision
0.489905 [0,0.5,0.5,0.454545,1,0.5,0.617647,1,0,0.727273,0.583333,0,0,0,0,0.1,0,0,0,0.615385,0.555556,0.333333,0.25,0.5,0]
precision
0.481159 [0,0,1,0.555556,0.666667,0,0.68,0.666667,0.142857,0.375,0.578947,0.5,0.2,0,0.5,0.166667,0,0,0,0.444444,0.363636,1,0.25,0.166667,0]
predictive_accuracy
0.373494
predictive_accuracy
0.542169
predictive_accuracy
0.493976
predictive_accuracy
0.524096
predictive_accuracy
0.542169
predictive_accuracy
0.385542
predictive_accuracy
0.524096
predictive_accuracy
0.373494
predictive_accuracy
0.439759
predictive_accuracy
0.415663
predictive_accuracy
0.46988
predictive_accuracy
0.403614
predictive_accuracy
0.439759
predictive_accuracy
0.439759
predictive_accuracy
0.487952
predictive_accuracy
0.451807
predictive_accuracy
0.39759
predictive_accuracy
0.433735
predictive_accuracy
0.433735
predictive_accuracy
0.512048
predictive_accuracy
0.457831
predictive_accuracy
0.409639
predictive_accuracy
0.355422
predictive_accuracy
0.427711
predictive_accuracy
0.36747
predictive_accuracy
0.409639
predictive_accuracy
0.427711
predictive_accuracy
0.433735
predictive_accuracy
0.445783
predictive_accuracy
0.36747
predictive_accuracy
0.403614
predictive_accuracy
0.427711
predictive_accuracy
0.457831
predictive_accuracy
0.542169
predictive_accuracy
0.427711
predictive_accuracy
0.409639
predictive_accuracy
0.46988
predictive_accuracy
0.493976
predictive_accuracy
0.481928
predictive_accuracy
0.451807
predictive_accuracy
0.512048
predictive_accuracy
0.512048
predictive_accuracy
0.379518
predictive_accuracy
0.403614
predictive_accuracy
0.451807
predictive_accuracy
0.445783
predictive_accuracy
0.463855
predictive_accuracy
0.46988
predictive_accuracy
0.415663
predictive_accuracy
0.445783
predictive_accuracy
0.415663
predictive_accuracy
0.481928
predictive_accuracy
0.36747
predictive_accuracy
0.415663
predictive_accuracy
0.445783
predictive_accuracy
0.409639
predictive_accuracy
0.439759
predictive_accuracy
0.427711
predictive_accuracy
0.439759
predictive_accuracy
0.391566
predictive_accuracy
0.361446
predictive_accuracy
0.433735
predictive_accuracy
0.481928
predictive_accuracy
0.379518
predictive_accuracy
0.439759
predictive_accuracy
0.463855
predictive_accuracy
0.506024
predictive_accuracy
0.463855
predictive_accuracy
0.457831
predictive_accuracy
0.457831
predictive_accuracy
0.466667
predictive_accuracy
0.424242
predictive_accuracy
0.454545
predictive_accuracy
0.50303
predictive_accuracy
0.484848
predictive_accuracy
0.472727
predictive_accuracy
0.454545
predictive_accuracy
0.424242
predictive_accuracy
0.406061
predictive_accuracy
0.545455
predictive_accuracy
0.406061
predictive_accuracy
0.448485
predictive_accuracy
0.49697
predictive_accuracy
0.527273
predictive_accuracy
0.509091
predictive_accuracy
0.454545
predictive_accuracy
0.50303
predictive_accuracy
0.436364
predictive_accuracy
0.430303
predictive_accuracy
0.533333
predictive_accuracy
0.327273
predictive_accuracy
0.369697
predictive_accuracy
0.430303
predictive_accuracy
0.448485
predictive_accuracy
0.448485
predictive_accuracy
0.448485
predictive_accuracy
0.406061
predictive_accuracy
0.4
predictive_accuracy
0.478788
predictive_accuracy
0.454545
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
recall
0.373494 [0,0,0.6,0.5,0.25,0,0.545455,0.5,0,0.777778,0.405405,0,0,0,0,0.6,0.5,0,0,0.153846,0.363636,1,0.166667,0,0]
recall
0.542169 [0,0.5,0.5,0.4,0.25,0,0.69697,1,0.5,0.111111,0.763158,0,0.4,0,0,0.4,1,0,0,0.461538,0.909091,0,0.833333,0,0]
recall
0.493976 [0,0.5,0.5,0.3,0.5,0,0.575758,0,0.5,1,0.648649,0,0.25,0,0,0,0.5,0,0.333333,0.571429,0.636364,1,0.166667,0,0]
recall
0.524096 [0,0.5,0.4,0.8,0.25,0.5,0.606061,0.5,0,0.75,0.621622,0.333333,0.5,0,0.333333,0.2,0,0.5,1,0.285714,0.6,0.5,0.666667,0,0]
recall
0.542169 [0.666667,0.5,0.4,0.6,0.333333,0,0.727273,0,0,0.888889,0.657895,0.333333,0.4,0,0,0.2,1,0,0.333333,0.384615,0.545455,0,0.5,0,1]
recall
0.385542 [0,0,0.6,0.4,0.5,0,0.393939,0.5,0,0.625,0.405405,0.333333,0.25,0,0,0.2,0,0.5,0.666667,0.428571,0.363636,1,0.5,0,0]
recall
0.524096 [1,0,1,0.9,0.25,0,0.727273,0,0.5,0.875,0.594595,0.333333,0.25,0,0,0.2,0,0,0.5,0.214286,0.636364,0,0.166667,0,0]
recall
0.373494 [0.333333,0.5,0.25,0.3,0.666667,0,0.424242,0,0,0.75,0.5,0,0,0,0,0,0,0,0,0.461538,0.454545,1,0.166667,0.5,0]
recall
0.439759 [0.333333,0,0.25,0.5,1,0,0.515152,0.5,0,0.666667,0.657895,0,0.5,0,0,0.2,0,0,0.75,0.153846,0.272727,0.5,0,0.5,1]
recall
0.415663 [0,0,0.4,0.2,0,0,0.484848,1,0,0.333333,0.72973,0,0,0,0,0.2,0.5,0,0.333333,0.428571,0.454545,0,0.166667,0.5,1]
recall
0.46988 [0.666667,0.5,0.6,0,0.25,0,0.545455,0.5,1,0.777778,0.72973,0.333333,0.25,0,0.5,0,0.5,0,0,0.230769,0.727273,0,0.166667,0.5,0]
recall
0.403614 [0,0.5,0,0.2,0.25,0,0.636364,0,0,0.777778,0.486486,0,0.2,0,0,0,0.5,0,0.666667,0.538462,0.181818,0,0.666667,0,0]
recall
0.439759 [0.333333,0,0.6,1,0.5,0,0.515152,0,0,0.666667,0.405405,0.333333,0,0,1,0.6,0.5,0,0,0.428571,0.454545,0,0.166667,0,0]
recall
0.439759 [0.333333,0,0.8,0.6,0.25,0,0.69697,0.5,1,0.444444,0.432432,0,0.25,0,0,0.2,1,0,0,0.428571,0.363636,0.5,0.166667,0,0]
recall
0.487952 [0,0,0.6,0.6,0.5,0,0.606061,0,0,0.5,0.72973,0.333333,0.2,0,0,0.2,0,0,0,0.5,0.545455,0,0.5,0,0]
recall
0.451807 [0,0,0.4,0.4,0,0,0.636364,0,1,0.444444,0.594595,0,0.6,0,0,0.2,0,0.5,0.666667,0.428571,0.6,0,0.333333,0,0]
recall
0.39759 [0,1,0,0.5,0.75,0,0.484848,1,0.5,0.625,0.567568,0,0.25,0,0,0.2,1,0,0.333333,0.153846,0.272727,0,0.166667,0.5,0]
recall
0.433735 [0.333333,0,0.75,0.4,0.5,0,0.454545,0,0,0.5,0.648649,0,0.2,0,0.333333,0.4,0,1,0,0.307692,0.545455,0,0.5,0,1]
recall
0.433735 [0.25,0,0,0.4,0.333333,1,0.484848,0.5,0.5,0.555556,0.567568,0,0.25,0,0,0,0,0,0,0.538462,0.818182,0.5,0.5,0,0]
recall
0.512048 [0,0,0.6,0.3,0.75,0.5,0.545455,0.5,0,0.666667,0.756757,0,0.25,0,0.666667,0.6,0,1,0.333333,0.428571,0.454545,1,0.166667,0,0]
recall
0.457831 [0.333333,0,0,0.5,0.5,0,0.545455,0.5,0,0.777778,0.567568,0.333333,0.25,0,0.5,0.2,0.5,0,0.333333,0.307692,0.727273,0.5,0.166667,1,0]
recall
0.409639 [0,0,0.2,0.2,0.25,0,0.636364,1,0,0.555556,0.513514,0.666667,0.5,0,1,0.2,0.5,0,0.5,0.071429,0.272727,0,0.333333,1,0]
recall
0.355422 [0,0.5,0.4,0.777778,0.5,0,0.30303,0.5,0.5,0.777778,0.405405,0,0,0,0,0.6,0,0,0,0.357143,0.181818,1,0.166667,0,1]
recall
0.427711 [0.333333,0,0.8,0.3,1,0,0.606061,0,1,0.444444,0.459459,0,0,0,0,0,0,0,0,0.285714,0.454545,0,0.833333,0.5,1]
recall
0.36747 [0.333333,0,0.5,0.7,0,0.5,0.363636,0.5,0,0.75,0.567568,0.333333,0,0,0,0.2,0,0,0,0.214286,0.181818,0.5,0.333333,0,0]
recall
0.409639 [0,0.5,0,0.4,0.333333,0.5,0.727273,0.5,0,0.444444,0.432432,0,0.2,0,0,0.4,0,0,0.333333,0.428571,0.4,0.5,0.166667,0,0]
recall
0.427711 [0,0,0.2,0.6,0.666667,0,0.545455,0.5,0,0.444444,0.567568,0.25,0.5,0,0,0,0,1,0.666667,0.461538,0.272727,0,0.333333,0,0]
recall
0.433735 [0.333333,0,0.6,0.2,0.25,0,0.545455,0.5,0,0.375,0.594595,0,0,0,0.333333,0,0.5,0,0.333333,0.615385,0.727273,0,0.333333,0,0]
recall
0.445783 [0.333333,0.5,0,0.6,0,0,0.515152,0.5,0,0.777778,0.594595,0.25,0,0,0.5,0.2,1,0,0,0.357143,0.454545,0,0.833333,0,0]
recall
0.36747 [0,0,0.2,0.3,1,0.5,0.454545,0,0,0.777778,0.540541,0,0,1,0.333333,0.2,1,0.5,0,0.071429,0.5,0,0,0,0]
recall
0.403614 [0.333333,1,0,0.222222,0.75,0,0.454545,0.5,0,0.888889,0.486486,0,0,0,0.333333,0.2,0,0,0.333333,0.571429,0.3,0,0.5,0,0]
recall
0.427711 [0,0,0.8,0.444444,0,0,0.666667,0.5,0,0.625,0.675676,0,0,0,0,0.2,0,0,0,0.357143,0.272727,1,0,0,0]
recall
0.457831 [0,0,0.4,0.7,0.25,0.5,0.636364,0,0,0.875,0.594595,0,0.25,0.5,0,0,0,0.5,0.333333,0.285714,0.454545,1,0.166667,0,0]
recall
0.542169 [0,0,1,0.7,0.25,0,0.787879,0.5,0.5,0.777778,0.702703,0.333333,0,0,0,0.4,1,0,0,0.5,0.181818,0,0.5,0,0]
recall
0.427711 [0.333333,1,0.75,0.3,0.25,0.5,0.515152,1,0,0.625,0.459459,0.333333,0.25,0,0.666667,0.6,1,0,0.333333,0.285714,0.272727,0.5,0.333333,0,0]
recall
0.409639 [1,0,0.4,0.5,0.333333,0,0.454545,0,0,0.444444,0.513514,0,0.5,0,0.5,0.4,0.5,0.5,0,0.357143,0.5,0,0.333333,0,0]
recall
0.46988 [0.333333,0,0.6,0.5,0.666667,0.5,0.545455,0,0,0.666667,0.513514,0.666667,0.6,0,0.333333,0.4,0,0,0.333333,0.307692,0.454545,0.5,0.666667,0,0]
recall
0.493976 [0,0.5,0.2,0.3,0.25,0,0.727273,0.5,0,0.666667,0.72973,0.333333,0,0.5,0.333333,0.4,0.5,0.5,0.333333,0.285714,0.5,0,0.166667,0,0]
recall
0.481928 [0,0.5,0.4,0.7,0.5,0,0.606061,0.5,0.5,0.555556,0.513514,0,0,0,0,0.4,1,0,0,0.428571,0.727273,0,0.666667,0.5,0]
recall
0.451807 [0.333333,0.5,0.4,0.333333,1,0.5,0.636364,0.5,0,0.666667,0.459459,0,0.2,0,0,0,0,0.5,0.25,0.357143,0.8,0.5,0.333333,0,0]
recall
0.512048 [0.333333,0.5,0.25,0.6,0.5,0,0.757576,0.5,0,0.666667,0.675676,0,0,0,0.333333,0.4,0,0.5,0,0.285714,0.5,0.5,0.5,0,0]
recall
0.512048 [0.333333,0,0.6,0.3,0.5,0,0.666667,1,0,0.5,0.675676,0.333333,0.25,0,0,0.2,0,0,0.333333,0.428571,0.727273,0.5,0.666667,0,0]
recall
0.379518 [0,0,0.6,0.5,0.5,0,0.515152,0,0,0.625,0.324324,0.333333,0.25,0,0,0,0,0,0.25,0.384615,0.727273,0,0.5,0,0]
recall
0.403614 [0,0.5,0.4,0.3,0.666667,0,0.727273,0.5,0.5,0.666667,0.432432,0,0,0,0.333333,0.2,0,0,0.333333,0.285714,0.181818,0,0.333333,0,0]
recall
0.451807 [0.333333,0,0.4,0.555556,0.5,0,0.606061,0.5,0,0.666667,0.648649,0,0.25,0,0.333333,0.4,0,0,0,0.071429,0.2,1,0.833333,0.5,0]
recall
0.445783 [0,0.5,0.2,0.444444,0.333333,0.5,0.69697,1,0,0.666667,0.526316,0,0.25,0,0,0.2,0.5,0,0.5,0.285714,0.4,1,0,0,0]
recall
0.463855 [0,0.5,0.4,0.5,0,0,0.636364,0.5,0,0.444444,0.684211,0,0.2,0,0.333333,0,0.5,0.5,0,0.357143,0.363636,0,0.5,0,1]
recall
0.46988 [0,0.5,0.2,0.3,0,0.5,0.606061,0,0,0.666667,0.621622,0.333333,0.5,0,0,0.2,0,0,0.25,0.571429,0.8,0,0.166667,0.5,0]
recall
0.415663 [0,0,0.8,0.5,0.25,0,0.393939,0,0,0.555556,0.648649,0.333333,0,0,0,0,0,0,0.333333,0.5,0.363636,0.5,0.5,0,0]
recall
0.445783 [0,0.5,0.4,0.3,0.666667,1,0.515152,0.5,0,0.333333,0.540541,0,0.5,0.5,0,0,1,0.5,0.5,0.428571,0.7,1,0.166667,0,0]
recall
0.415663 [0.666667,0,0.5,0.2,0.5,0,0.484848,1,0.5,0.555556,0.540541,0,0,0,0,0.6,0,0,0.333333,0.357143,0.7,0,0,0,1]
recall
0.481928 [0,0.5,0.4,0.5,0.5,0,0.818182,0.5,0,0.875,0.540541,0.333333,0.25,0,0.333333,0.4,0,0,0,0.357143,0.272727,0,0.333333,0,0]
recall
0.36747 [0,0.5,0.6,0.7,0.25,0.5,0.484848,0.5,0,0.375,0.540541,0,0,0.5,0.333333,0.2,0,0,0.5,0.076923,0,0.5,0.166667,0,0]
recall
0.415663 [0,0.5,0.4,0.4,0.666667,0,0.666667,0,0.5,0.444444,0.486486,0,0.5,0,0,0,1,0,0,0.571429,0.363636,0,0,0,0]
recall
0.445783 [0,0,0,0.2,0.5,0.5,0.575758,1,0,0.666667,0.675676,0.333333,0.25,0,0.5,0.2,0.5,0,0,0.428571,0.2,1,0.5,0,0]
recall
0.409639 [0.333333,0.5,0.4,0.1,0.5,0,0.69697,0.5,0.5,0.555556,0.486486,0,0,0,0,0.2,0,0,0,0.384615,0.545455,0.5,0,0,0]
recall
0.439759 [0.333333,1,0,0.777778,0.25,0,0.606061,1,0,0.222222,0.486486,0,0,0,0.666667,0,0,0,0,0.571429,0.636364,0,0.5,0,0]
recall
0.427711 [0,0,0.2,0.4,0.25,0,0.606061,0.5,0,0.666667,0.594595,0.333333,0.25,0,0,0.4,0,0,0.25,0.285714,0.4,0.5,0.333333,0,0]
recall
0.439759 [0,1,0.4,0.3,0.25,0,0.484848,0,0,0.5,0.594595,0,0.25,0,0,0.2,1,0,0.333333,0.5,0.9,0,0.333333,0,0]
recall
0.391566 [0.333333,0.5,0.8,0.1,0.75,1,0.333333,0.5,0,0.888889,0.552632,0,0,0,0,0.4,0,0,0,0.307692,0.3,0.5,0.166667,0,1]
recall
0.361446 [0,0,0.6,0.4,0.25,0,0.333333,0.5,0,0.555556,0.594595,0,0.5,0,0,0,0,0.5,0.333333,0.142857,0.5,0.5,0,0,1]
recall
0.433735 [0.25,0,0.4,0.4,0.333333,0,0.515152,0.5,0,0.666667,0.621622,0,0.25,0,0.666667,0,0,0,0.333333,0.357143,0.4,0.5,0.5,0,0]
recall
0.481928 [0.333333,0,0.8,0.8,0,0,0.606061,0.5,0,0.555556,0.631579,0,0.25,0,0,0.4,0,0,0.333333,0.384615,0.4,0.5,0.5,0,0]
recall
0.379518 [0,0,0.2,0.6,0,0,0.424242,0.5,0.5,0.555556,0.567568,0.25,0.5,0.5,0,0.4,0,0,0.333333,0.285714,0.090909,0,0.333333,0,0]
recall
0.439759 [0,0,0.4,0.1,0.5,0.5,0.636364,0.5,0,0.666667,0.594595,0,0.25,0,0,0.2,0.5,0,0,0.428571,0.5,0.5,0.333333,0,0]
recall
0.463855 [0,0.5,0.25,0.3,0.5,0,0.575758,0.5,0.5,0.666667,0.621622,0,0.25,0,0.333333,0.2,0,0,0.333333,0.538462,0.636364,0,0.333333,0,0]
recall
0.506024 [0,0.5,0.6,0.8,0.5,0,0.636364,0.5,0,0.666667,0.783784,0,0,0,0,0.2,0,0,0.333333,0.357143,0.4,0.5,0.166667,0,0]
recall
0.463855 [0,0.5,0.6,0.5,0.25,1,0.454545,0.5,0,0.555556,0.648649,0.25,0.25,0,0,0.6,0,0,0.333333,0.357143,0.6,0,0.5,0.5,0]
recall
0.457831 [0,0,0.4,0.4,0.75,0,0.575758,0.5,0,0.5,0.567568,0,0.25,1,0,0.4,1,0,0,0.571429,0.5,0,0.333333,0.5,0]
recall
0.457831 [0.333333,0.5,0.5,0.4,0.75,0.5,0.727273,0.5,0.5,0.666667,0.567568,0,0,0,0,0.2,0,0,0,0.307692,0.272727,0,0.333333,0.5,0]
recall
0.466667 [0,0.5,0.6,0.3,0.666667,0,0.575758,1,0,0.75,0.552632,0.333333,0,0,0.666667,0.6,0,0,0.666667,0.428571,0.363636,0,0.333333,0,0]
recall
0.424242 [0.333333,0.5,0.4,0.2,1,0,0.636364,0.5,0,0.777778,0.486486,0,0,0,0.333333,0.2,1,0,0.333333,0.285714,0.3,0,0.5,0,0]
recall
0.454545 [0,0,0.4,0.4,0.333333,0,0.636364,1,0,0.666667,0.648649,0.333333,0.4,0,0,0.2,0,0,0.333333,0.142857,0.4,0.5,0.5,0,0]
recall
0.50303 [0,0.5,0.2,1,0.5,0,0.727273,1,0,0.555556,0.513514,0.333333,0.2,0.5,0.5,0,0,0,0.333333,0.692308,0.2,0.5,0.166667,0,1]
recall
0.484848 [0,0.5,0.6,0.4,0.5,0,0.757576,0.5,1,0.777778,0.567568,0,0.25,0,0,0.2,0,0,0,0.142857,0.3,0.5,0.833333,0,1]
recall
0.472727 [0.333333,0,0.5,0.8,0.75,0,0.69697,1,0,0.444444,0.540541,0,0,0,0.333333,0.2,1,0,0.333333,0.384615,0.181818,0,0.5,0,1]
recall
0.454545 [0,0.5,0.8,0.3,0.25,0,0.69697,0,0,0.555556,0.648649,0,0.25,0,0,0,0,0,0.666667,0.571429,0.2,0,0.166667,0,0]
recall
0.424242 [0.25,0,0.2,0.2,1,0,0.515152,0,0,0.555556,0.567568,0,0.25,0,0,0.6,0,0,0.333333,0.5,0.363636,0.5,0.166667,0.5,0]
recall
0.406061 [0.666667,0,0.6,0.8,0.5,0,0.636364,0.5,0,0.625,0.432432,0,0,0,0,0,0,0,0,0.142857,0.3,0,0.333333,0.5,1]
recall
0.545455 [0,0.5,0.25,0.9,1,0,0.757576,0.5,0,0.75,0.621622,0.25,0.25,0,0,0.6,1,0,0,0.230769,0.727273,0,0.333333,1,0]
recall
0.406061 [0,0.5,0.6,0.6,0.333333,0,0.424242,0.5,0.5,0.75,0.486486,0,0.8,0,0,0.2,0,0,0,0.285714,0.545455,0,0.166667,0,0]
recall
0.448485 [0.666667,0.5,0.6,0.4,0.666667,0,0.575758,0,0,0.777778,0.594595,0,0.25,0,0,0.4,0,0,0.333333,0.285714,0.4,0,0.166667,0.5,0]
recall
0.49697 [0.333333,0.5,0.2,0.4,0.666667,0,0.727273,0.5,0,0.666667,0.621622,0,0.2,0,0.333333,0.4,0,0,0.666667,0.428571,0.5,0,0.166667,0.5,0]
recall
0.527273 [0.333333,0,0.5,0.7,0.5,0,0.757576,1,0,0.5,0.540541,0,0.4,0,0.333333,0.2,0.5,0,0.25,0.461538,0.8,0.5,0.5,0,0]
recall
0.509091 [0.333333,0.5,0.4,0.4,0.333333,0,0.878788,0,0.5,0.666667,0.459459,0.25,0.5,1,0,0.2,1,0,0.333333,0.538462,0.363636,0.5,0.5,0,0]
recall
0.454545 [0,0,0.6,0.9,0.25,0,0.515152,0.5,0,0.75,0.567568,0,0.5,0,0.666667,0.6,0,0,0,0.428571,0.272727,0,0.166667,0,0]
recall
0.50303 [0.666667,0.5,0.4,0.5,0.75,0.5,0.636364,0.5,0,0.777778,0.513514,0.333333,0.5,0,0.5,0,1,0,0.666667,0.428571,0.4,1,0.5,0,0]
recall
0.436364 [0,0.5,0.4,0.8,0.666667,0,0.484848,0.5,0.5,0.444444,0.567568,0,0.25,0,0,0.4,0,0,0,0.428571,0.272727,1,0.333333,0,0]
recall
0.430303 [0.666667,0,0.4,0.555556,0,0.5,0.454545,1,0,0.555556,0.702703,0,0,1,0,0.4,0,0,0.666667,0.142857,0.3,0,0.333333,0,1]
recall
0.533333 [0,1,0.8,0.7,0.75,0,0.666667,1,0,0.25,0.621622,0,0.25,0,0,0.2,1,0,0,0.642857,0.636364,0,0.333333,0.5,0]
recall
0.327273 [0.333333,0.5,0.6,0.2,0.666667,0,0.363636,0,0,0.25,0.567568,0,0,0,0,0.2,0,0,0.25,0.428571,0.090909,0,0.166667,0,0]
recall
0.369697 [0,0.5,0,0.5,0.75,0,0.636364,0.5,0,0.555556,0.432432,0,0,0,0,0,0,0.5,0,0.307692,0.4,0,0,0,0]
recall
0.430303 [0.25,0,0.5,0.4,0.25,0,0.666667,0,0,0.333333,0.513514,0.333333,0.5,0,1,0.2,0,0,0,0.5,0.4,0.5,0.166667,0,0]
recall
0.448485 [0,0.5,0.75,0.444444,0.5,0,0.606061,0.5,0.5,0.5,0.684211,0,0,0,0,0.4,0,0,0,0.461538,0.3,0.5,0,0,0]
recall
0.448485 [0,1,0.8,0.2,0.666667,0,0.606061,0,0.5,0.666667,0.540541,0.333333,0.5,0,0.666667,0.2,1,0.5,0.666667,0.153846,0.363636,0,0.166667,0,0]
recall
0.448485 [0,0,1,0.7,0.5,1,0.454545,0.5,0,0.75,0.513514,0,0.25,0,0,0.6,1,0,0,0.285714,0.454545,0,0.666667,0,0]
recall
0.406061 [0.666667,0,0.75,0.5,0.25,0,0.484848,1,0,0.625,0.567568,0,0,0,0.333333,0.2,0,0,0.75,0.142857,0.3,0.5,0,0.5,0]
recall
0.4 [0,0,0.6,0.555556,0.666667,0.5,0.575758,0.5,0,0.444444,0.648649,0,0,0,0.5,0.2,0,0,0,0.071429,0.181818,0,0.333333,0,0]
recall
0.478788 [0,0.5,0.5,0.5,0.25,0.5,0.636364,0.5,0,0.888889,0.567568,0,0,0,0,0.2,0,0,0,0.615385,0.454545,0.5,0.333333,0.5,0]
recall
0.454545 [0,0,0.6,0.5,0.5,0,0.515152,1,0.5,0.375,0.594595,0.333333,0.25,0,0.333333,0.2,0,0,0,0.571429,0.363636,1,0.333333,0.5,0]
relative_absolute_error
0.705693
relative_absolute_error
0.516401
relative_absolute_error
0.574683
relative_absolute_error
0.535965
relative_absolute_error
0.519847
relative_absolute_error
0.69399
relative_absolute_error
0.536125
relative_absolute_error
0.706426
relative_absolute_error
0.633534
relative_absolute_error
0.65514
relative_absolute_error
0.597084
relative_absolute_error
0.670384
relative_absolute_error
0.63132
relative_absolute_error
0.631361
relative_absolute_error
0.576932
relative_absolute_error
0.617619
relative_absolute_error
0.680097
relative_absolute_error
0.637627
relative_absolute_error
0.637833
relative_absolute_error
0.553287
relative_absolute_error
0.608958
relative_absolute_error
0.663603
relative_absolute_error
0.726155
relative_absolute_error
0.651727
relative_absolute_error
0.712531
relative_absolute_error
0.66508
relative_absolute_error
0.644611
relative_absolute_error
0.639339
relative_absolute_error
0.624587
relative_absolute_error
0.714282
relative_absolute_error
0.671625
relative_absolute_error
0.645926
relative_absolute_error
0.612511
relative_absolute_error
0.517648
relative_absolute_error
0.644671
relative_absolute_error
0.665015
relative_absolute_error
0.59714
relative_absolute_error
0.568679
relative_absolute_error
0.590678
relative_absolute_error
0.617377
relative_absolute_error
0.549624
relative_absolute_error
0.551097
relative_absolute_error
0.698744
relative_absolute_error
0.672029
relative_absolute_error
0.618732
relative_absolute_error
0.626684
relative_absolute_error
0.605063
relative_absolute_error
0.597236
relative_absolute_error
0.658498
relative_absolute_error
0.628377
relative_absolute_error
0.659889
relative_absolute_error
0.587068
relative_absolute_error
0.714011
relative_absolute_error
0.663557
relative_absolute_error
0.62434
relative_absolute_error
0.664946
relative_absolute_error
0.632839
relative_absolute_error
0.646443
relative_absolute_error
0.630946
relative_absolute_error
0.68604
relative_absolute_error
0.719357
relative_absolute_error
0.636209
relative_absolute_error
0.58416
relative_absolute_error
0.699196
relative_absolute_error
0.631099
relative_absolute_error
0.605529
relative_absolute_error
0.558145
relative_absolute_error
0.606738
relative_absolute_error
0.610593
relative_absolute_error
0.610617
relative_absolute_error
0.607293
relative_absolute_error
0.649004
relative_absolute_error
0.618332
relative_absolute_error
0.56
relative_absolute_error
0.580719
relative_absolute_error
0.60108
relative_absolute_error
0.614871
relative_absolute_error
0.651013
relative_absolute_error
0.673925
relative_absolute_error
0.512166
relative_absolute_error
0.669665
relative_absolute_error
0.621678
relative_absolute_error
0.567089
relative_absolute_error
0.532505
relative_absolute_error
0.55333
relative_absolute_error
0.621809
relative_absolute_error
0.560216
relative_absolute_error
0.636919
relative_absolute_error
0.645434
relative_absolute_error
0.527822
relative_absolute_error
0.760172
relative_absolute_error
0.710203
relative_absolute_error
0.642152
relative_absolute_error
0.621892
relative_absolute_error
0.62335
relative_absolute_error
0.624509
relative_absolute_error
0.674442
relative_absolute_error
0.678033
relative_absolute_error
0.592198
relative_absolute_error
0.617671
root_mean_prior_squared_error
0.188368
root_mean_prior_squared_error
0.188112
root_mean_prior_squared_error
0.188311
root_mean_prior_squared_error
0.1884
root_mean_prior_squared_error
0.188094
root_mean_prior_squared_error
0.188322
root_mean_prior_squared_error
0.188344
root_mean_prior_squared_error
0.188173
root_mean_prior_squared_error
0.188135
root_mean_prior_squared_error
0.188271
root_mean_prior_squared_error
0.188381
root_mean_prior_squared_error
0.188375
root_mean_prior_squared_error
0.188288
root_mean_prior_squared_error
0.188276
root_mean_prior_squared_error
0.188315
root_mean_prior_squared_error
0.188327
root_mean_prior_squared_error
0.18841
root_mean_prior_squared_error
0.188431
root_mean_prior_squared_error
0.18837
root_mean_prior_squared_error
0.188277
root_mean_prior_squared_error
0.188381
root_mean_prior_squared_error
0.188278
root_mean_prior_squared_error
0.188341
root_mean_prior_squared_error
0.188276
root_mean_prior_squared_error
0.188355
root_mean_prior_squared_error
0.18834
root_mean_prior_squared_error
0.188372
root_mean_prior_squared_error
0.188426
root_mean_prior_squared_error
0.188272
root_mean_prior_squared_error
0.18834
root_mean_prior_squared_error
0.188408
root_mean_prior_squared_error
0.188384
root_mean_prior_squared_error
0.188332
root_mean_prior_squared_error
0.188276
root_mean_prior_squared_error
0.188355
root_mean_prior_squared_error
0.188358
root_mean_prior_squared_error
0.188364
root_mean_prior_squared_error
0.188351
root_mean_prior_squared_error
0.18826
root_mean_prior_squared_error
0.1884
root_mean_prior_squared_error
0.188369
root_mean_prior_squared_error
0.18833
root_mean_prior_squared_error
0.188412
root_mean_prior_squared_error
0.188295
root_mean_prior_squared_error
0.188401
root_mean_prior_squared_error
0.188151
root_mean_prior_squared_error
0.188009
root_mean_prior_squared_error
0.188333
root_mean_prior_squared_error
0.188282
root_mean_prior_squared_error
0.188357
root_mean_prior_squared_error
0.188369
root_mean_prior_squared_error
0.18833
root_mean_prior_squared_error
0.188412
root_mean_prior_squared_error
0.188291
root_mean_prior_squared_error
0.188346
root_mean_prior_squared_error
0.188378
root_mean_prior_squared_error
0.188342
root_mean_prior_squared_error
0.188333
root_mean_prior_squared_error
0.1884
root_mean_prior_squared_error
0.188175
root_mean_prior_squared_error
0.188344
root_mean_prior_squared_error
0.188349
root_mean_prior_squared_error
0.188173
root_mean_prior_squared_error
0.188291
root_mean_prior_squared_error
0.188355
root_mean_prior_squared_error
0.188393
root_mean_prior_squared_error
0.188356
root_mean_prior_squared_error
0.188333
root_mean_prior_squared_error
0.1884
root_mean_prior_squared_error
0.188393
root_mean_prior_squared_error
0.187924
root_mean_prior_squared_error
0.188231
root_mean_prior_squared_error
0.188209
root_mean_prior_squared_error
0.188296
root_mean_prior_squared_error
0.188221
root_mean_prior_squared_error
0.188263
root_mean_prior_squared_error
0.188223
root_mean_prior_squared_error
0.188143
root_mean_prior_squared_error
0.188267
root_mean_prior_squared_error
0.188307
root_mean_prior_squared_error
0.188184
root_mean_prior_squared_error
0.188231
root_mean_prior_squared_error
0.188209
root_mean_prior_squared_error
0.188359
root_mean_prior_squared_error
0.188241
root_mean_prior_squared_error
0.188191
root_mean_prior_squared_error
0.188223
root_mean_prior_squared_error
0.188168
root_mean_prior_squared_error
0.188276
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400
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390
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usercpu_time_millis_training
400
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360
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400
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400
usercpu_time_millis_training
370
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380