349371
2
Joaquin Vanschoren
4215
Supervised Classification
predictive_accuracy
1165
weka.A1DE(4)
1918
weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE -- -F 1 -M 1.0
F
1
1165
M
1.0
1165
weka
weka_3.7.12
375
JapaneseVowels
https://www.openml.org/data/download/52415/JapaneseVowels.arff
-1
1203618
description
https://www.openml.org/data/download/1203618/weka_generated_run1844007750174174480.xml
-1
1203621
model_readable
https://www.openml.org/data/download/1203621/WekaModel_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE384107253888802660.model
-1
1203620
model_serialized
https://www.openml.org/data/download/1203620/WekaSerialized_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE4851858494785333025.model
-1
1203619
predictions
https://www.openml.org/data/download/1203619/weka_generated_predictions1205824532990891920.arff
area_under_roc_curve
0.995993 [0.998011,0.995153,0.99804,0.997598,0.998609,0.999921,0.999467,0.984372,0.989959]
average_cost
0
f_measure
0.925394 [0.929224,0.912593,0.95059,0.93805,0.937776,0.986566,0.970758,0.83147,0.835352]
kappa
0.915783
kb_relative_information_score
91311.153571
mean_absolute_error
0.024041
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
0.925384 [0.945594,0.905031,0.944686,0.935517,0.925741,0.985594,0.965506,0.855112,0.829895]
predictive_accuracy
0.92566
prior_entropy
3.132137
recall
0.92566 [0.913412,0.920283,0.956568,0.940597,0.950128,0.987539,0.976068,0.8091,0.840883]
relative_absolute_error
0.122547
root_mean_prior_squared_error
0.313191
root_mean_squared_error
0.109949
root_relative_squared_error
0.35106
scimark_benchmark
1331.437943 [816.9745422909959, 990.2132722667832, 525.699786522924, 1060.88225274782, 3263.419859067817]
total_cost
0
usercpu_time_millis
200
usercpu_time_millis_testing
80
usercpu_time_millis_training
120
area_under_roc_curve
0.99596 [0.998585,0.996344,0.99734,0.99809,0.999876,1,0.999,0.98507,0.986611]
area_under_roc_curve
0.995397 [0.996526,0.99468,0.997487,0.997479,0.999609,0.999954,0.999573,0.978552,0.992674]
area_under_roc_curve
0.996102 [0.99794,0.995276,0.997021,0.996511,0.998159,0.999873,0.999204,0.987041,0.992725]
area_under_roc_curve
0.995213 [0.998533,0.994556,0.99705,0.99653,0.999093,0.999965,0.999514,0.975967,0.99418]
area_under_roc_curve
0.996915 [0.99918,0.995028,0.99896,0.997692,0.999738,0.999977,0.99999,0.987447,0.991946]
area_under_roc_curve
0.994866 [0.996177,0.995084,0.99841,0.997748,0.998772,0.999977,0.99967,0.98374,0.978818]
area_under_roc_curve
0.996935 [0.998688,0.998414,0.998365,0.999088,0.997339,0.999989,0.999738,0.985376,0.992737]
area_under_roc_curve
0.996636 [0.998104,0.994961,0.99786,0.997374,0.999358,1,0.999864,0.987767,0.992965]
area_under_roc_curve
0.995911 [0.997903,0.995585,0.997616,0.997246,0.998577,1,0.999854,0.982927,0.991155]
area_under_roc_curve
0.99598 [0.998058,0.994578,0.99759,0.996687,0.998428,0.999977,0.998844,0.986574,0.991209]
area_under_roc_curve
0.996378 [0.997187,0.997433,0.998178,0.998351,0.999227,0.999873,0.999562,0.986305,0.988359]
area_under_roc_curve
0.994964 [0.996747,0.995597,0.998431,0.998125,0.997151,0.999919,0.998454,0.983163,0.981613]
area_under_roc_curve
0.994952 [0.996881,0.993761,0.99698,0.999367,0.999511,0.999722,0.999417,0.979352,0.98528]
area_under_roc_curve
0.995571 [0.998573,0.992658,0.997084,0.997307,0.997129,0.999919,0.999776,0.984822,0.989918]
area_under_roc_curve
0.99648 [0.997773,0.997387,0.998237,0.997275,0.997067,0.999954,0.998853,0.985951,0.993854]
area_under_roc_curve
0.995714 [0.997045,0.993806,0.997523,0.998285,0.997724,0.999954,0.999786,0.982322,0.992084]
area_under_roc_curve
0.995765 [0.998273,0.992106,0.998133,0.997594,0.998268,0.999667,0.999407,0.983992,0.991413]
area_under_roc_curve
0.995253 [0.998184,0.996937,0.996087,0.997681,0.995936,0.999896,0.999728,0.979767,0.990123]
area_under_roc_curve
0.995293 [0.999159,0.995389,0.998416,0.997981,0.997363,0.999896,0.999601,0.978793,0.986277]
area_under_roc_curve
0.995978 [0.996814,0.996964,0.996729,0.997853,0.995894,0.999977,0.998687,0.99261,0.985037]
area_under_roc_curve
0.995304 [0.997989,0.997207,0.996839,0.9969,0.998534,0.999942,0.999951,0.978218,0.989701]
area_under_roc_curve
0.996589 [0.998502,0.995394,0.998342,0.99863,0.997263,1,0.999874,0.986504,0.991682]
area_under_roc_curve
0.996358 [0.998379,0.996306,0.997898,0.996771,0.998897,0.999919,0.999757,0.98386,0.994007]
area_under_roc_curve
0.996997 [0.999266,0.993588,0.997954,0.9975,0.999931,0.999919,0.999806,0.992986,0.990365]
area_under_roc_curve
0.995047 [0.996809,0.994584,0.997672,0.998223,0.998729,0.999942,0.999815,0.979977,0.985357]
area_under_roc_curve
0.996068 [0.998379,0.994279,0.997806,0.99718,0.999489,0.999965,0.999242,0.984269,0.992065]
area_under_roc_curve
0.995182 [0.998655,0.995469,0.996615,0.996725,0.998184,0.999907,0.999543,0.980065,0.988934]
area_under_roc_curve
0.995043 [0.997835,0.997174,0.997255,0.998311,0.999288,0.999977,0.998853,0.974423,0.988934]
area_under_roc_curve
0.995414 [0.998276,0.997466,0.998222,0.998229,0.998578,0.999884,0.999426,0.978483,0.985855]
area_under_roc_curve
0.996448 [0.997599,0.996734,0.997439,0.997965,0.999637,0.999965,0.999446,0.988229,0.988947]
area_under_roc_curve
0.99744 [0.999118,0.996667,0.999104,0.999407,0.99919,0.999884,0.999611,0.990685,0.990353]
area_under_roc_curve
0.996226 [0.997609,0.995406,0.998113,0.998125,0.998254,0.999641,0.999747,0.988517,0.987209]
area_under_roc_curve
0.99696 [0.998594,0.998086,0.998594,0.998333,0.997165,0.99985,0.999825,0.9899,0.989126]
area_under_roc_curve
0.996507 [0.996614,0.997264,0.998393,0.996643,0.998897,1,0.999621,0.990022,0.989138]
area_under_roc_curve
0.995591 [0.997363,0.996329,0.998742,0.997316,0.998073,0.999954,0.999592,0.978716,0.990851]
area_under_roc_curve
0.996819 [0.999056,0.996261,0.998274,0.998117,0.999172,0.999907,0.999018,0.986647,0.992998]
area_under_roc_curve
0.995587 [0.996686,0.992489,0.997672,0.997809,0.99845,0.999907,0.999718,0.985198,0.989177]
area_under_roc_curve
0.996897 [0.999046,0.99562,0.998795,0.998301,0.997833,0.999896,0.999737,0.986869,0.993368]
area_under_roc_curve
0.99592 [0.998153,0.991048,0.99788,0.998005,0.999246,0.999897,0.999592,0.984258,0.99264]
area_under_roc_curve
0.996005 [0.998266,0.996847,0.997409,0.998077,0.998925,0.999942,0.999621,0.98022,0.992538]
area_under_roc_curve
0.996667 [0.999056,0.994527,0.998609,0.997877,0.999022,0.999884,0.999358,0.986172,0.993292]
area_under_roc_curve
0.995471 [0.998009,0.990383,0.998661,0.99758,0.999531,0.999965,0.999864,0.984385,0.9868]
area_under_roc_curve
0.993921 [0.997024,0.991126,0.99695,0.995497,0.996509,0.999943,0.998785,0.981465,0.983683]
area_under_roc_curve
0.996012 [0.997455,0.99893,0.998698,0.999303,0.999134,0.999759,0.999874,0.980231,0.986379]
area_under_roc_curve
0.995562 [0.999364,0.996351,0.997039,0.997877,0.998408,0.99978,0.999057,0.980895,0.988232]
area_under_roc_curve
0.997782 [0.997578,0.996633,0.997962,0.998053,0.999581,0.999381,0.999971,0.993318,0.997393]
area_under_roc_curve
0.995973 [0.997578,0.996802,0.997239,0.998634,0.999511,1,0.999076,0.98636,0.985395]
area_under_roc_curve
0.996699 [0.997814,0.993424,0.998609,0.998101,0.999517,0.999954,0.999446,0.989535,0.991528]
area_under_roc_curve
0.995446 [0.997814,0.993908,0.99788,0.996466,0.997654,0.999954,0.999319,0.988097,0.984155]
area_under_roc_curve
0.995584 [0.997876,0.995867,0.998178,0.997716,0.999148,0.999954,0.999922,0.975541,0.993304]
area_under_roc_curve
0.996054 [0.997096,0.995023,0.998157,0.996402,0.997151,1,0.999455,0.988418,0.990289]
area_under_roc_curve
0.997184 [0.998738,0.996644,0.999249,0.997965,0.999765,0.999965,0.999883,0.987488,0.992857]
area_under_roc_curve
0.994692 [0.998646,0.992039,0.997218,0.995024,0.999567,0.999977,0.999864,0.976027,0.991899]
area_under_roc_curve
0.996387 [0.998564,0.994685,0.998148,0.996859,0.998254,0.999931,0.999582,0.988583,0.990583]
area_under_roc_curve
0.996787 [0.998389,0.9946,0.997972,0.99742,0.99838,0.999919,0.998823,0.989325,0.994991]
area_under_roc_curve
0.996172 [0.998276,0.995845,0.998765,0.997156,0.998198,1,0.999601,0.981055,0.99425]
area_under_roc_curve
0.995499 [0.997876,0.994685,0.999097,0.998029,0.998073,1,0.999699,0.978041,0.989727]
area_under_roc_curve
0.996822 [0.997725,0.991272,0.999301,0.997941,0.99743,0.999989,0.999251,0.991692,0.994173]
area_under_roc_curve
0.995664 [0.998338,0.995462,0.997999,0.99754,0.999218,0.99992,0.999708,0.978682,0.991311]
area_under_roc_curve
0.997064 [0.998451,0.993379,0.999063,0.998566,0.999469,1,0.999864,0.992477,0.989305]
area_under_roc_curve
0.996181 [0.995824,0.99607,0.99849,0.998085,0.998212,0.999861,0.999383,0.986813,0.989854]
area_under_roc_curve
0.996981 [0.998211,0.997399,0.997843,0.997379,0.999204,1,0.999242,0.989546,0.992883]
area_under_roc_curve
0.996822 [0.998904,0.995946,0.99965,0.997586,0.99824,1,0.999057,0.988805,0.990084]
area_under_roc_curve
0.996307 [0.998625,0.996216,0.998378,0.997965,0.999344,0.999943,0.998765,0.983506,0.991567]
area_under_roc_curve
0.995205 [0.997983,0.995394,0.998209,0.997436,0.998757,0.999896,0.999183,0.983273,0.982284]
area_under_roc_curve
0.99589 [0.997042,0.993593,0.998039,0.997548,0.998478,1,0.999319,0.988395,0.98735]
area_under_roc_curve
0.996652 [0.998061,0.995552,0.998646,0.997564,0.999707,0.999954,0.999465,0.98896,0.989548]
area_under_roc_curve
0.994968 [0.997642,0.992545,0.997039,0.995433,0.998813,0.999828,0.999417,0.985032,0.986315]
area_under_roc_curve
0.995597 [0.998338,0.997072,0.996593,0.997011,0.999581,0.999977,0.999475,0.979943,0.990902]
area_under_roc_curve
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area_under_roc_curve
0.996564 [0.998174,0.992602,0.997419,0.997772,0.998967,1,0.999747,0.988318,0.994697]
area_under_roc_curve
0.995822 [0.999255,0.993852,0.99672,0.996183,0.999302,0.999954,0.998104,0.9822,0.996512]
area_under_roc_curve
0.996139 [0.998293,0.995417,0.998029,0.998861,0.999227,1,0.999417,0.978882,0.994684]
area_under_roc_curve
0.995264 [0.99842,0.992793,0.998742,0.996482,0.998464,0.999977,0.99964,0.980187,0.989024]
area_under_roc_curve
0.995597 [0.996887,0.996565,0.997984,0.998494,0.998645,0.999977,0.999679,0.977958,0.991094]
area_under_roc_curve
0.995909 [0.998335,0.992489,0.998431,0.998702,0.999386,0.999769,0.999494,0.984428,0.988525]
area_under_roc_curve
0.995691 [0.999292,0.994268,0.998734,0.996763,0.998743,0.999965,0.998882,0.980895,0.990659]
area_under_roc_curve
0.995373 [0.998676,0.995203,0.997291,0.997396,0.999637,0.999897,0.999319,0.981293,0.986507]
area_under_roc_curve
0.99608 [0.996618,0.996183,0.998831,0.996194,0.999651,0.999792,0.998561,0.987521,0.989277]
area_under_roc_curve
0.996254 [0.99762,0.996869,0.997761,0.997689,0.998492,0.999965,0.99965,0.987532,0.987963]
area_under_roc_curve
0.995412 [0.998469,0.994876,0.997523,0.996555,0.997807,0.99992,0.999504,0.982908,0.98819]
area_under_roc_curve
0.996093 [0.998686,0.996014,0.997285,0.997849,0.999078,0.999977,0.99931,0.984358,0.989957]
area_under_roc_curve
0.996449 [0.998686,0.996588,0.99907,0.997968,0.999337,0.999988,0.999008,0.982012,0.992806]
area_under_roc_curve
0.997106 [0.997845,0.995743,0.998638,0.998478,0.999274,0.999977,0.999455,0.989944,0.992538]
area_under_roc_curve
0.997513 [0.998097,0.9974,0.998505,0.998101,0.999553,0.999989,0.999806,0.992699,0.991937]
area_under_roc_curve
0.996096 [0.998035,0.997264,0.998002,0.997307,0.998394,0.999861,0.998551,0.986526,0.988232]
area_under_roc_curve
0.995808 [0.998153,0.995,0.998453,0.997156,0.998855,0.999907,0.999387,0.981105,0.991591]
area_under_roc_curve
0.996486 [0.998738,0.995766,0.998401,0.999055,0.998687,0.999907,0.999601,0.984603,0.990506]
area_under_roc_curve
0.997352 [0.998014,0.998761,0.998831,0.998574,0.99845,1,0.999455,0.990232,0.991554]
area_under_roc_curve
0.995422 [0.997787,0.994617,0.998594,0.999132,0.999288,0.999907,0.999825,0.977974,0.987222]
area_under_roc_curve
0.994772 [0.998842,0.990357,0.99846,0.996595,0.996872,0.999805,0.999786,0.976271,0.992052]
area_under_roc_curve
0.99595 [0.99879,0.996362,0.999122,0.997909,0.996732,0.999896,0.999893,0.982593,0.987886]
area_under_roc_curve
0.995395 [0.997776,0.994023,0.998423,0.995922,0.998827,0.999931,0.999203,0.984026,0.987494]
area_under_roc_curve
0.994919 [0.997249,0.995586,0.997232,0.998279,0.998366,0.999884,0.999135,0.978273,0.9862]
area_under_roc_curve
0.995454 [0.997756,0.991858,0.997218,0.996915,0.99913,0.99992,0.999708,0.983373,0.990864]
area_under_roc_curve
0.99659 [0.998821,0.998401,0.998275,0.996885,0.999288,0.999954,0.999747,0.98459,0.991592]
area_under_roc_curve
0.995881 [0.998314,0.997365,0.998609,0.997356,0.998026,0.999966,0.999737,0.984214,0.985344]
area_under_roc_curve
0.995414 [0.997137,0.997128,0.998956,0.996955,0.996509,0.999942,0.999524,0.984391,0.983235]
area_under_roc_curve
0.997432 [0.99848,0.992692,0.998897,0.998151,0.999637,0.999977,0.999767,0.991935,0.996001]
area_under_roc_curve
0.995557 [0.9988,0.988429,0.998609,0.997952,0.99706,0.999896,0.999582,0.983937,0.991758]
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
909.337055
kb_relative_information_score
895.125999
kb_relative_information_score
920.315957
kb_relative_information_score
912.130482
kb_relative_information_score
925.690395
kb_relative_information_score
912.809944
kb_relative_information_score
912.73492
kb_relative_information_score
905.43924
kb_relative_information_score
911.622157
kb_relative_information_score
911.430247
kb_relative_information_score
925.084015
kb_relative_information_score
905.149777
kb_relative_information_score
915.217996
kb_relative_information_score
922.786234
kb_relative_information_score
915.35027
kb_relative_information_score
917.878344
kb_relative_information_score
923.216052
kb_relative_information_score
916.556292
kb_relative_information_score
921.545046
kb_relative_information_score
908.924104
kb_relative_information_score
919.831784
kb_relative_information_score
920.624623
kb_relative_information_score
913.058231
kb_relative_information_score
905.142175
kb_relative_information_score
905.680516
kb_relative_information_score
914.762799
kb_relative_information_score
899.789011
kb_relative_information_score
912.874263
kb_relative_information_score
904.689895
kb_relative_information_score
915.118985
kb_relative_information_score
908.589951
kb_relative_information_score
918.599764
kb_relative_information_score
906.185358
kb_relative_information_score
917.007456
kb_relative_information_score
912.022435
kb_relative_information_score
911.058079
kb_relative_information_score
906.802575
kb_relative_information_score
909.198959
kb_relative_information_score
913.596876
kb_relative_information_score
916.292501
kb_relative_information_score
910.295799
kb_relative_information_score
915.869804
kb_relative_information_score
915.579612
kb_relative_information_score
924.97518
kb_relative_information_score
906.80959
kb_relative_information_score
913.475344
kb_relative_information_score
916.091559
kb_relative_information_score
923.062438
kb_relative_information_score
909.947172
kb_relative_information_score
907.556581
kb_relative_information_score
915.485168
kb_relative_information_score
910.101582
kb_relative_information_score
902.371807
kb_relative_information_score
903.275646
kb_relative_information_score
917.691059
kb_relative_information_score
907.795801
kb_relative_information_score
909.994924
kb_relative_information_score
922.643243
kb_relative_information_score
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0.025134
mean_absolute_error
0.026189
mean_absolute_error
0.024685
mean_absolute_error
0.024092
mean_absolute_error
0.021004
mean_absolute_error
0.024142
mean_absolute_error
0.020851
mean_absolute_error
0.022782
mean_absolute_error
0.024553
mean_absolute_error
0.025353
mean_absolute_error
0.024687
mean_absolute_error
0.026436
mean_absolute_error
0.024302
mean_absolute_error
0.02448
mean_absolute_error
0.025932
mean_absolute_error
0.023697
mean_absolute_error
0.024826
mean_absolute_error
0.024587
mean_absolute_error
0.02543
mean_absolute_error
0.025549
mean_absolute_error
0.024569
mean_absolute_error
0.021996
mean_absolute_error
0.025054
mean_absolute_error
0.021705
mean_absolute_error
0.025158
mean_absolute_error
0.024941
mean_absolute_error
0.02573
mean_absolute_error
0.024508
mean_absolute_error
0.024112
mean_absolute_error
0.024213
mean_absolute_error
0.02126
mean_absolute_error
0.024414
mean_absolute_error
0.021426
mean_absolute_error
0.023374
mean_absolute_error
0.024837
mean_absolute_error
0.021799
mean_absolute_error
0.024709
mean_absolute_error
0.023548
mean_absolute_error
0.023731
mean_absolute_error
0.022786
mean_absolute_error
0.022564
mean_absolute_error
0.024602
mean_absolute_error
0.028162
mean_absolute_error
0.022493
mean_absolute_error
0.024216
mean_absolute_error
0.021195
mean_absolute_error
0.023672
mean_absolute_error
0.024446
mean_absolute_error
0.025832
mean_absolute_error
0.024212
mean_absolute_error
0.025268
mean_absolute_error
0.021555
mean_absolute_error
0.026151
mean_absolute_error
0.023926
mean_absolute_error
0.02235
mean_absolute_error
0.023268
mean_absolute_error
0.022427
mean_absolute_error
0.021681
mean_absolute_error
0.023379
mean_absolute_error
0.022482
mean_absolute_error
0.025158
mean_absolute_error
0.022642
mean_absolute_error
0.02176
mean_absolute_error
0.023957
mean_absolute_error
0.025561
mean_absolute_error
0.025605
mean_absolute_error
0.023587
mean_absolute_error
0.027263
mean_absolute_error
0.023794
mean_absolute_error
0.025985
mean_absolute_error
0.023688
mean_absolute_error
0.024946
mean_absolute_error
0.022418
mean_absolute_error
0.02581
mean_absolute_error
0.022443
mean_absolute_error
0.024708
mean_absolute_error
0.024075
mean_absolute_error
0.025702
mean_absolute_error
0.025178
mean_absolute_error
0.023565
mean_absolute_error
0.022866
mean_absolute_error
0.024464
mean_absolute_error
0.023465
mean_absolute_error
0.023643
mean_absolute_error
0.022016
mean_absolute_error
0.025351
mean_absolute_error
0.02405
mean_absolute_error
0.023025
mean_absolute_error
0.021883
mean_absolute_error
0.024488
mean_absolute_error
0.025344
mean_absolute_error
0.02337
mean_absolute_error
0.024946
mean_absolute_error
0.025978
mean_absolute_error
0.026497
mean_absolute_error
0.022898
mean_absolute_error
0.025046
mean_absolute_error
0.024227
mean_absolute_error
0.021646
mean_absolute_error
0.024582
mean_prior_absolute_error
0.196184
mean_prior_absolute_error
0.196174
mean_prior_absolute_error
0.196174
mean_prior_absolute_error
0.196165
mean_prior_absolute_error
0.196182
mean_prior_absolute_error
0.19618
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0.196173
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0.196176
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0.196173
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0.196189
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0.196172
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0.196191
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0.196173
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0.196189
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0.196176
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0.196173
mean_prior_absolute_error
0.196189
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0.19617
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mean_prior_absolute_error
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0.196185
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0.196185
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0.196185
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0.196185
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0.196185
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0.19617
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0.196189
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0.196185
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0.196185
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0.19617
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mean_prior_absolute_error
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mean_prior_absolute_error
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0.19617
mean_prior_absolute_error
0.196162
mean_prior_absolute_error
0.19618
number_of_instances
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996 [110,99,162,147,78,96,117,101,86]
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996 [110,99,162,147,78,96,117,101,86]
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996 [110,99,161,147,79,96,117,101,86]
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996 [110,99,161,148,78,96,117,101,86]
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996 [110,99,161,147,78,97,117,101,86]
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996 [110,99,161,147,78,97,117,101,86]
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996 [110,99,162,147,78,96,117,101,86]
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996 [110,99,161,147,78,97,117,101,86]
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996 [110,99,161,147,79,96,117,101,86]
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996 [110,99,161,147,78,97,117,101,86]
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996 [110,99,161,147,78,97,117,101,86]
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996 [110,99,162,147,78,96,117,101,86]
number_of_instances
996 [110,99,161,147,78,97,117,101,86]
number_of_instances
996 [110,99,162,147,78,96,117,101,86]
number_of_instances
996 [109,100,161,147,78,97,117,101,86]
number_of_instances
996 [110,99,161,147,78,97,117,101,86]
number_of_instances
996 [110,99,161,147,78,97,117,101,86]
number_of_instances
996 [110,99,162,147,78,96,117,101,86]
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996 [109,99,161,148,78,97,117,101,86]
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996 [109,99,161,148,78,97,117,101,86]
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996 [110,99,161,147,78,97,117,101,86]
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996 [109,99,162,147,78,96,117,101,87]
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996 [109,99,162,147,78,97,117,101,86]
number_of_instances
996 [110,99,162,147,78,96,117,101,86]
number_of_instances
996 [109,99,162,147,78,97,117,101,86]
number_of_instances
996 [110,99,161,147,78,96,117,102,86]
number_of_instances
996 [110,99,161,147,78,97,117,101,86]
number_of_instances
996 [110,99,161,147,78,97,117,101,86]
number_of_instances
996 [109,99,161,148,78,97,117,101,86]
number_of_instances
996 [109,99,161,148,79,96,117,101,86]
number_of_instances
996 [110,99,162,147,78,96,117,101,86]
number_of_instances
996 [109,99,161,147,78,97,117,102,86]
number_of_instances
996 [109,99,162,147,78,96,117,102,86]
number_of_instances
996 [110,99,162,147,78,96,117,101,86]
number_of_instances
996 [109,99,162,147,78,97,117,101,86]
number_of_instances
996 [109,99,162,147,78,96,117,101,87]
number_of_instances
996 [110,99,161,148,78,96,117,101,86]
number_of_instances
996 [109,99,161,147,78,97,117,101,87]
number_of_instances
996 [109,99,161,148,78,97,117,101,86]
number_of_instances
996 [109,99,161,148,79,96,117,101,86]
number_of_instances
996 [110,99,162,147,78,96,117,101,86]
number_of_instances
996 [109,100,161,147,78,97,117,101,86]
number_of_instances
996 [109,99,162,148,78,96,117,101,86]
number_of_instances
996 [110,99,161,147,78,96,117,101,87]
number_of_instances
996 [109,99,162,147,78,96,117,102,86]
number_of_instances
996 [109,99,162,148,78,96,117,101,86]
number_of_instances
996 [109,99,161,148,78,96,117,102,86]
number_of_instances
996 [109,100,161,147,78,97,117,101,86]
number_of_instances
996 [109,100,161,147,78,96,117,101,87]
number_of_instances
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
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
996 [110,99,162,147,78,96,117,101,86]
number_of_instances
996 [109,99,162,148,78,96,117,101,86]
number_of_instances
996 [109,99,161,148,79,96,117,101,86]
precision
0.91974 [0.95098,0.884615,0.939024,0.945946,0.9625,1,0.934959,0.857143,0.764045]
precision
0.928416 [0.971429,0.955556,0.95679,0.925676,0.927711,0.979592,0.958678,0.833333,0.808511]
precision
0.919176 [0.969697,0.90099,0.921687,0.926174,0.9125,0.989474,0.982456,0.803738,0.837209]
precision
0.92304 [0.951923,0.850467,0.95122,0.917808,0.950617,1,0.974138,0.831579,0.853933]
precision
0.939158 [0.929204,0.957895,0.946108,0.933775,0.961538,0.989583,0.975,0.895833,0.851852]
precision
0.920461 [0.915888,0.895238,0.968553,0.903846,0.936709,0.979381,0.974359,0.892857,0.774194]
precision
0.937282 [0.929825,0.948454,0.952096,0.959459,0.935065,1,0.957983,0.875,0.845238]
precision
0.937886 [0.960784,0.9375,0.95679,0.915584,0.917647,1,0.97479,0.877551,0.882353]
precision
0.925972 [0.951923,0.861111,0.95679,0.932432,0.904762,1,0.966667,0.88764,0.825581]
precision
0.927191 [0.941748,0.92233,0.950311,0.932886,0.901235,0.989583,0.974138,0.864583,0.826087]
precision
0.916567 [0.92381,0.901961,0.955696,0.917197,0.949367,0.989247,0.965517,0.83871,0.763441]
precision
0.919096 [0.95098,0.931373,0.950617,0.965517,0.911392,0.969388,0.956522,0.804124,0.760417]
precision
0.92418 [0.917431,0.956522,0.922156,0.941935,0.949367,0.979167,0.958678,0.863636,0.808989]
precision
0.924518 [0.944444,0.924731,0.916667,0.926174,0.902439,0.989583,0.974576,0.876289,0.847059]
precision
0.910574 [0.957447,0.862385,0.94375,0.915033,0.947368,0.959596,0.964912,0.8125,0.789474]
precision
0.935084 [0.934579,0.957447,0.94012,0.933775,0.9125,0.979167,0.991453,0.904255,0.833333]
precision
0.929495 [0.970874,0.915789,0.957055,0.888199,0.924051,0.989583,0.974138,0.877778,0.849462]
precision
0.925282 [0.953271,0.920792,0.904762,0.959184,0.924051,0.979381,0.966102,0.852632,0.845238]
precision
0.923241 [0.953704,0.892157,0.961783,0.928105,0.924051,1,0.966102,0.852632,0.777778]
precision
0.9171 [0.920792,0.913462,0.955414,0.939597,0.879518,0.979381,0.933884,0.895833,0.772727]
precision
0.922085 [0.95098,0.929293,0.955696,0.919463,0.904762,0.979381,0.983193,0.784314,0.848837]
precision
0.937148 [0.936937,0.92,0.945122,0.959459,0.936709,0.989691,0.982906,0.854167,0.880952]
precision
0.918675 [0.961538,0.867925,0.916667,0.929577,0.903614,0.969388,0.991379,0.827957,0.872093]
precision
0.937628 [0.961905,0.910891,0.975309,0.92053,1,0.979167,0.95082,0.876289,0.847059]
precision
0.920482 [0.917431,0.893204,0.934524,0.965035,0.925,1,0.982906,0.818182,0.795181]
precision
0.921888 [0.971429,0.866667,0.921687,0.909677,0.938272,0.989583,0.957265,0.894118,0.837209]
precision
0.913854 [0.944444,0.869159,0.938272,0.9375,0.865854,1,0.974359,0.831579,0.802326]
precision
0.920939 [0.908257,0.968421,0.933333,0.959459,0.935897,0.989691,0.974138,0.79,0.784091]
precision
0.928331 [0.971154,0.867925,0.95625,0.944444,0.961039,0.989474,0.957983,0.865979,0.797872]
precision
0.930908 [0.934579,0.918367,0.927711,0.945946,0.986667,0.989583,0.942149,0.884211,0.844444]
precision
0.941764 [0.954128,0.947917,0.957055,0.966216,0.916667,0.989474,0.965812,0.877551,0.860465]
precision
0.921982 [0.924528,0.891089,0.939024,0.964539,0.9125,0.969388,0.974576,0.831776,0.839506]
precision
0.938728 [0.961165,0.90566,0.968553,0.952381,0.910256,0.96875,0.983193,0.927835,0.813187]
precision
0.925685 [0.916667,0.87963,0.9625,0.971631,0.925,0.989691,0.942623,0.863158,0.823529]
precision
0.923889 [0.95,0.958763,0.928571,0.921053,0.911392,0.969697,0.966102,0.896552,0.78125]
precision
0.936436 [0.962963,0.902913,0.939759,0.958333,0.9625,0.989583,0.974576,0.85567,0.857143]
precision
0.928279 [0.924528,0.92,0.967532,0.952055,0.914634,0.979381,0.975,0.84466,0.818182]
precision
0.925392 [0.962963,0.927083,0.950617,0.927632,0.901235,0.989583,0.966102,0.835052,0.825581]
precision
0.921185 [0.933962,0.909091,0.922156,0.933333,0.925926,0.989583,0.974359,0.84375,0.833333]
precision
0.931038 [0.951923,0.929293,0.95122,0.939597,0.936709,0.979381,0.974138,0.819048,0.86747]
precision
0.931371 [0.943925,0.938144,0.940476,0.921569,0.949367,0.989474,0.974138,0.851064,0.862069]
precision
0.918364 [0.934579,0.852941,0.945455,0.931507,0.927711,0.979592,0.983051,0.876404,0.784091]
precision
0.912132 [0.951456,0.88,0.927273,0.938356,0.879518,0.989691,0.965517,0.824742,0.797753]
precision
0.93982 [0.932692,0.959184,0.96875,0.953642,0.915663,0.979381,0.991304,0.904255,0.797872]
precision
0.931719 [0.972477,0.929293,0.901734,0.951389,0.936709,0.959596,0.965812,0.9,0.860465]
precision
0.935444 [0.943396,0.9,0.968553,0.931507,0.925926,0.989362,0.975,0.894737,0.852632]
precision
0.923286 [0.979798,0.894231,0.944099,0.945578,0.96,0.989691,0.92562,0.85,0.782609]
precision
0.924478 [0.952381,0.827273,0.956522,0.950355,0.9375,0.979381,0.943089,0.904762,0.821053]
precision
0.917133 [0.911504,0.908163,0.934132,0.930556,0.9,0.989583,0.966102,0.85567,0.819277]
precision
0.921072 [0.918182,0.90099,0.928571,0.943662,0.904762,0.989691,0.982906,0.83871,0.845238]
precision
0.922092 [0.942857,0.845455,0.955975,0.912752,0.948718,0.989691,0.974576,0.842105,0.858824]
precision
0.941219 [0.962264,0.929293,0.980769,0.952055,0.9625,0.979592,0.966667,0.833333,0.865169]
precision
0.916394 [0.95283,0.886598,0.949045,0.919463,0.927711,0.989691,0.991379,0.79,0.791209]
precision
0.929658 [0.95283,0.958333,0.918129,0.913907,0.9125,0.969388,0.991071,0.913043,0.822222]
precision
0.935724 [0.952381,0.919192,0.95625,0.933333,0.962025,0.979167,0.950413,0.87,0.883721]
precision
0.92813 [0.944444,0.9375,0.928571,0.92,0.91358,1,0.942623,0.879121,0.879518]
precision
0.929286 [0.90991,0.926316,0.952096,0.945578,0.882353,1,0.974576,0.857143,0.873418]
precision
0.935889 [0.951456,0.910891,0.95122,0.945205,0.922078,0.989796,0.957627,0.87619,0.892857]
precision
0.930108 [0.935185,0.92,0.939759,0.921569,0.949367,1,0.958333,0.858696,0.880952]
precision
0.931723 [0.944444,0.89899,0.96875,0.934211,0.916667,0.979798,0.982759,0.9,0.806818]
precision
0.920422 [0.908257,0.902913,0.956522,0.939189,0.9,0.959184,0.974576,0.880435,0.804598]
precision
0.93289 [0.961538,0.911765,0.921212,0.933333,0.961039,1,0.957983,0.905263,0.83908]
precision
0.934358 [0.952381,0.929293,0.969325,0.939597,0.936709,1,0.966387,0.88172,0.784946]
precision
0.920237 [0.960784,0.956044,0.927273,0.946309,0.925926,0.979592,0.943089,0.819149,0.784946]
precision
0.914897 [0.936364,0.894231,0.939759,0.937063,0.935897,1,0.942149,0.835052,0.771084]
precision
0.917667 [0.969697,0.9,0.934524,0.914474,0.910256,1,0.94958,0.863158,0.78022]
precision
0.922508 [0.932692,0.927083,0.934524,0.932432,0.894118,0.989474,0.966102,0.85,0.841463]
precision
0.915768 [0.934579,0.864078,0.968553,0.905405,0.883721,0.979167,0.957983,0.861702,0.833333]
precision
0.924063 [0.95283,0.90099,0.936306,0.944444,0.950617,0.989583,0.958333,0.823529,0.831461]
precision
0.916505 [0.93578,0.9,0.927711,0.913333,0.950617,1,0.982456,0.824176,0.788889]
precision
0.93258 [0.961905,0.885417,0.911765,0.971631,0.973684,1,0.958678,0.838095,0.883721]
precision
0.926611 [0.971698,0.882353,0.956522,0.891026,0.948052,1,0.931624,0.846154,0.911111]
precision
0.933085 [0.970588,0.897959,0.95679,0.922581,0.916667,1,0.942149,0.908046,0.857143]
precision
0.917536 [0.928571,0.872549,0.957055,0.896104,0.945946,1,0.974138,0.831579,0.823529]
precision
0.931272 [0.971154,0.920792,0.962733,0.922078,0.892857,0.979798,0.950413,0.88764,0.855422]
precision
0.926578 [0.927273,0.907216,0.95625,0.945205,0.961039,0.979167,0.973913,0.825243,0.826087]
precision
0.923641 [0.961905,0.917526,0.913295,0.88961,0.973333,0.969697,0.982759,0.864583,0.851852]
precision
0.916018 [0.951456,0.918367,0.938272,0.927152,0.916667,0.979381,0.958678,0.794118,0.820513]
precision
0.915204 [0.941176,0.893204,0.957055,0.917808,0.927711,0.958763,0.941667,0.831579,0.827586]
precision
0.9265 [0.942857,0.941176,0.944785,0.958904,0.910256,0.989583,0.95082,0.85567,0.793103]
precision
0.928264 [0.962617,0.91,0.927711,0.944828,0.935897,0.979592,0.958678,0.84,0.876543]
precision
0.914564 [0.935185,0.861111,0.92638,0.931507,0.882353,0.989583,0.94958,0.865169,0.853659]
precision
0.930711 [0.93578,0.884615,0.928994,0.932886,0.916667,1,0.982456,0.9,0.878049]
precision
0.927967 [0.960396,0.90099,0.968153,0.952055,0.938272,0.989583,0.95,0.823529,0.815217]
precision
0.933999 [0.961165,0.885714,0.950617,0.944444,0.926829,0.989796,0.974359,0.88,0.858824]
precision
0.920619 [0.943925,0.91,0.922156,0.958333,0.888889,0.969388,0.957265,0.833333,0.8625]
precision
0.921918 [0.943925,0.884615,0.974359,0.907895,0.934211,0.979167,0.942149,0.846939,0.848837]
precision
0.931059 [0.971698,0.911765,0.934524,0.95302,0.949367,0.969072,0.974359,0.858696,0.825581]
precision
0.937041 [0.961165,0.969697,0.929825,0.952381,0.923077,0.979592,0.974359,0.891304,0.824176]
precision
0.919579 [0.927273,0.881188,0.957317,0.952055,0.959459,0.989474,0.958333,0.782178,0.823529]
precision
0.923641 [0.954128,0.881188,0.961538,0.931973,0.855422,1,0.982759,0.823529,0.862069]
precision
0.926354 [0.960784,0.920792,0.91954,0.931973,0.948052,0.969388,0.991453,0.844444,0.833333]
precision
0.918136 [0.910714,0.902913,0.955696,0.943662,0.925926,0.969388,0.935484,0.823529,0.855263]
precision
0.91382 [0.925234,0.910891,0.928144,0.945946,0.891566,0.979167,0.934426,0.860465,0.802326]
precision
0.913324 [0.933333,0.838095,0.96732,0.901316,0.885057,0.979381,0.966102,0.865979,0.829268]
precision
0.935759 [0.938053,0.888889,0.974359,0.956835,0.961538,0.989583,0.974359,0.84466,0.848837]
precision
0.921211 [0.951456,0.87156,0.939394,0.956522,0.903614,1,0.991304,0.829787,0.784946]
precision
0.930807 [0.952381,0.911765,0.952096,0.951389,0.910256,0.989691,0.958333,0.893617,0.808989]
precision
0.936663 [0.943396,0.878788,0.962733,0.971429,0.939024,0.979592,0.991379,0.830189,0.886364]
precision
0.930075 [0.953271,0.873786,0.939394,0.939597,0.902439,0.979592,0.982609,0.905882,0.858696]
predictive_accuracy
0.919759
predictive_accuracy
0.927783
predictive_accuracy
0.917753
predictive_accuracy
0.922768
predictive_accuracy
0.939819
predictive_accuracy
0.919759
predictive_accuracy
0.937813
predictive_accuracy
0.937813
predictive_accuracy
0.925777
predictive_accuracy
0.92678
predictive_accuracy
0.915663
predictive_accuracy
0.917671
predictive_accuracy
0.924699
predictive_accuracy
0.924699
predictive_accuracy
0.908635
predictive_accuracy
0.934739
predictive_accuracy
0.928715
predictive_accuracy
0.925703
predictive_accuracy
0.922691
predictive_accuracy
0.916667
predictive_accuracy
0.921687
predictive_accuracy
0.937751
predictive_accuracy
0.918675
predictive_accuracy
0.937751
predictive_accuracy
0.920683
predictive_accuracy
0.921687
predictive_accuracy
0.913655
predictive_accuracy
0.920683
predictive_accuracy
0.926707
predictive_accuracy
0.930723
predictive_accuracy
0.941767
predictive_accuracy
0.921687
predictive_accuracy
0.937751
predictive_accuracy
0.925703
predictive_accuracy
0.922691
predictive_accuracy
0.936747
predictive_accuracy
0.927711
predictive_accuracy
0.925703
predictive_accuracy
0.921687
predictive_accuracy
0.930723
predictive_accuracy
0.931727
predictive_accuracy
0.918675
predictive_accuracy
0.911647
predictive_accuracy
0.938755
predictive_accuracy
0.931727
predictive_accuracy
0.934739
predictive_accuracy
0.921687
predictive_accuracy
0.922691
predictive_accuracy
0.917671
predictive_accuracy
0.921687
predictive_accuracy
0.921687
predictive_accuracy
0.940763
predictive_accuracy
0.915663
predictive_accuracy
0.928715
predictive_accuracy
0.935743
predictive_accuracy
0.928715
predictive_accuracy
0.929719
predictive_accuracy
0.935743
predictive_accuracy
0.930723
predictive_accuracy
0.931727
predictive_accuracy
0.920683
predictive_accuracy
0.932731
predictive_accuracy
0.933735
predictive_accuracy
0.919679
predictive_accuracy
0.915663
predictive_accuracy
0.916667
predictive_accuracy
0.922691
predictive_accuracy
0.915663
predictive_accuracy
0.923695
predictive_accuracy
0.916667
predictive_accuracy
0.931727
predictive_accuracy
0.926707
predictive_accuracy
0.932731
predictive_accuracy
0.917671
predictive_accuracy
0.931727
predictive_accuracy
0.925703
predictive_accuracy
0.923695
predictive_accuracy
0.916667
predictive_accuracy
0.915663
predictive_accuracy
0.926707
predictive_accuracy
0.928715
predictive_accuracy
0.914659
predictive_accuracy
0.930723
predictive_accuracy
0.926707
predictive_accuracy
0.933735
predictive_accuracy
0.920683
predictive_accuracy
0.921687
predictive_accuracy
0.931727
predictive_accuracy
0.936747
predictive_accuracy
0.919679
predictive_accuracy
0.922691
predictive_accuracy
0.926707
predictive_accuracy
0.918675
predictive_accuracy
0.914659
predictive_accuracy
0.912651
predictive_accuracy
0.934739
predictive_accuracy
0.919679
predictive_accuracy
0.930723
predictive_accuracy
0.935743
predictive_accuracy
0.929719
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
0.919759 [0.889908,0.929293,0.956522,0.945946,0.974684,1,0.982906,0.764706,0.790698]
recall
0.927783 [0.927273,0.868687,0.95679,0.931973,0.987179,1,0.991453,0.784314,0.883721]
recall
0.917753 [0.872727,0.919192,0.944444,0.938776,0.935897,0.979167,0.957265,0.843137,0.837209]
recall
0.922768 [0.908257,0.919192,0.962963,0.905405,0.987179,0.989583,0.965812,0.77451,0.883721]
recall
0.939819 [0.954545,0.919192,0.981366,0.952703,0.949367,0.989583,1,0.851485,0.802326]
recall
0.919759 [0.890909,0.949495,0.956522,0.952703,0.948718,0.989583,0.974359,0.742574,0.827586]
recall
0.937813 [0.972477,0.929293,0.987578,0.965986,0.911392,0.979381,0.974359,0.823529,0.825581]
recall
0.937813 [0.890909,0.909091,0.962733,0.952703,1,1,0.991453,0.851485,0.862069]
recall
0.925777 [0.908257,0.93,0.95679,0.932432,0.974359,1,0.991453,0.782178,0.825581]
recall
0.92678 [0.889908,0.959596,0.944444,0.945578,0.924051,0.989583,0.965812,0.821782,0.873563]
recall
0.915663 [0.889908,0.929293,0.937888,0.972973,0.949367,0.958333,0.957265,0.772277,0.825581]
recall
0.917671 [0.881818,0.959596,0.950617,0.952381,0.923077,0.989583,0.940171,0.772277,0.848837]
recall
0.924699 [0.909091,0.888889,0.950617,0.993197,0.961538,0.979167,0.991453,0.752475,0.837209]
recall
0.924699 [0.93578,0.868687,0.956522,0.932432,0.936709,0.989583,0.982906,0.841584,0.837209]
recall
0.908635 [0.818182,0.949495,0.937888,0.945946,0.923077,0.989583,0.940171,0.772277,0.872093]
recall
0.934739 [0.909091,0.9,0.975155,0.959184,0.935897,0.979167,0.991453,0.841584,0.872093]
recall
0.928715 [0.917431,0.878788,0.968944,0.966216,0.935897,0.979381,0.965812,0.782178,0.918605]
recall
0.925703 [0.927273,0.939394,0.944099,0.952703,0.935897,0.989583,0.974359,0.80198,0.825581]
recall
0.922691 [0.936364,0.919192,0.937888,0.965986,0.924051,0.979167,0.974359,0.80198,0.813953]
recall
0.916667 [0.853211,0.95,0.925926,0.952381,0.935897,0.989583,0.965812,0.851485,0.790698]
recall
0.921687 [0.881818,0.929293,0.937888,0.925676,0.974359,0.989583,1,0.792079,0.848837]
recall
0.937751 [0.945455,0.929293,0.95679,0.965986,0.948718,1,0.982906,0.811881,0.860465]
recall
0.918675 [0.909091,0.929293,0.950617,0.897959,0.961538,0.989583,0.982906,0.762376,0.872093]
recall
0.937751 [0.926606,0.92,0.981366,0.945578,0.974684,0.979167,0.991453,0.841584,0.837209]
recall
0.920683 [0.909091,0.929293,0.975155,0.932432,0.948718,0.979167,0.982906,0.80198,0.767442]
recall
0.921687 [0.927273,0.919192,0.950311,0.959184,0.962025,0.989583,0.957265,0.752475,0.837209]
recall
0.913655 [0.93578,0.93,0.944099,0.912162,0.910256,0.989583,0.974359,0.782178,0.802326]
recall
0.920683 [0.9,0.929293,0.956522,0.959459,0.935897,1,0.965812,0.782178,0.802326]
recall
0.926707 [0.918182,0.929293,0.950311,0.92517,0.936709,0.979167,0.974359,0.831683,0.872093]
recall
0.930723 [0.909091,0.909091,0.950617,0.952381,0.948718,0.989583,0.974359,0.831683,0.883721]
recall
0.941767 [0.945455,0.919192,0.962963,0.972789,0.987179,0.979167,0.965812,0.851485,0.860465]
recall
0.921687 [0.890909,0.909091,0.950617,0.92517,0.935897,0.989583,0.982906,0.881188,0.790698]
recall
0.937751 [0.9,0.969697,0.950617,0.952381,0.910256,0.96875,1,0.891089,0.860465]
recall
0.925703 [0.9,0.959596,0.956522,0.931973,0.948718,1,0.982906,0.811881,0.804598]
recall
0.922691 [0.863636,0.939394,0.962963,0.952381,0.923077,1,0.974359,0.772277,0.872093]
recall
0.936747 [0.945455,0.939394,0.968944,0.938776,0.974684,0.989583,0.982906,0.821782,0.837209]
recall
0.927711 [0.890909,0.929293,0.925466,0.939189,0.961538,0.989583,1,0.861386,0.837209]
recall
0.925703 [0.945455,0.89899,0.956522,0.959184,0.924051,0.989583,0.974359,0.80198,0.825581]
recall
0.921687 [0.9,0.909091,0.956522,0.952381,0.961538,0.979381,0.974359,0.80198,0.813953]
recall
0.930723 [0.9,0.929293,0.962963,0.952381,0.948718,0.989583,0.965812,0.851485,0.837209]
recall
0.931727 [0.918182,0.919192,0.975309,0.959184,0.961538,0.979167,0.965812,0.792079,0.872093]
recall
0.918675 [0.909091,0.878788,0.968944,0.92517,0.974684,1,0.991453,0.772277,0.802326]
recall
0.911647 [0.890909,0.888889,0.950311,0.931973,0.935897,0.989691,0.957265,0.792079,0.825581]
recall
0.938755 [0.881818,0.949495,0.962733,0.979592,0.974359,0.979381,0.974359,0.841584,0.872093]
recall
0.931727 [0.963636,0.929293,0.962963,0.931973,0.948718,0.989583,0.965812,0.80198,0.860465]
recall
0.934739 [0.909091,0.909091,0.956522,0.92517,0.961538,0.958763,1,0.841584,0.94186]
recall
0.921687 [0.881818,0.939394,0.938272,0.945578,0.923077,1,0.957265,0.841584,0.837209]
recall
0.922691 [0.909091,0.919192,0.956522,0.911565,0.949367,0.989583,0.991453,0.752475,0.906977]
recall
0.917671 [0.936364,0.89899,0.968944,0.911565,0.923077,0.979381,0.974359,0.821782,0.790698]
recall
0.921687 [0.918182,0.919192,0.968944,0.911565,0.974359,0.989691,0.982906,0.772277,0.825581]
recall
0.921687 [0.9,0.939394,0.938272,0.92517,0.948718,1,0.982906,0.792079,0.848837]
recall
0.940763 [0.927273,0.929293,0.950311,0.945578,0.974684,1,0.991453,0.841584,0.895349]
recall
0.915663 [0.918182,0.868687,0.925466,0.931973,0.987179,0.989691,0.982906,0.782178,0.837209]
recall
0.928715 [0.918182,0.929293,0.975155,0.938776,0.935897,0.979381,0.948718,0.831683,0.860465]
recall
0.935743 [0.909091,0.919192,0.944444,0.952381,0.974359,0.979167,0.982906,0.861386,0.883721]
recall
0.928715 [0.927273,0.909091,0.968944,0.938776,0.948718,1,0.982906,0.792079,0.848837]
recall
0.929719 [0.918182,0.888889,0.981481,0.945578,0.961538,1,0.982906,0.831683,0.802326]
recall
0.935743 [0.899083,0.92,0.968944,0.938776,0.910256,1,0.965812,0.910891,0.872093]
recall
0.930723 [0.918182,0.929293,0.968944,0.959184,0.961538,0.969072,0.982906,0.782178,0.860465]
recall
0.931727 [0.927273,0.89899,0.962733,0.965986,0.987179,1,0.974359,0.80198,0.825581]
recall
0.920683 [0.9,0.939394,0.950617,0.945578,0.923077,0.979167,0.982906,0.80198,0.813953]
recall
0.932731 [0.917431,0.939394,0.944099,0.945946,0.948718,1,0.974359,0.851485,0.848837]
recall
0.933735 [0.917431,0.929293,0.981366,0.945946,0.948718,0.989691,0.982906,0.811881,0.848837]
recall
0.919679 [0.890909,0.878788,0.950311,0.959184,0.961538,0.989691,0.991453,0.762376,0.848837]
recall
0.915663 [0.944954,0.939394,0.962963,0.911565,0.935897,0.979167,0.974359,0.80198,0.735632]
recall
0.916667 [0.880734,0.909091,0.969136,0.945578,0.910256,0.969072,0.965812,0.811881,0.825581]
recall
0.922691 [0.881818,0.89899,0.969136,0.938776,0.974359,0.979167,0.974359,0.841584,0.802326]
recall
0.915663 [0.917431,0.89899,0.950617,0.911565,0.974359,0.969072,0.974359,0.80198,0.813953]
recall
0.923695 [0.918182,0.919192,0.913043,0.92517,0.987179,0.989583,0.982906,0.823529,0.860465]
recall
0.916667 [0.927273,0.909091,0.956522,0.931973,0.987179,0.979381,0.957265,0.742574,0.825581]
recall
0.931727 [0.918182,0.858586,0.962733,0.931973,0.948718,0.989691,0.991453,0.871287,0.883721]
recall
0.926707 [0.944954,0.909091,0.956522,0.939189,0.935897,0.989691,0.931624,0.762376,0.953488]
recall
0.932731 [0.908257,0.888889,0.962733,0.966216,0.974684,1,0.974359,0.782178,0.906977]
recall
0.917671 [0.945455,0.89899,0.962963,0.938776,0.897436,0.989583,0.965812,0.782178,0.813953]
recall
0.931727 [0.926606,0.939394,0.962733,0.965986,0.961538,1,0.982906,0.77451,0.825581]
recall
0.925703 [0.93578,0.888889,0.944444,0.938776,0.948718,0.979167,0.957265,0.833333,0.883721]
recall
0.923695 [0.918182,0.89899,0.975309,0.931973,0.935897,1,0.974359,0.821782,0.802326]
recall
0.916667 [0.899083,0.909091,0.938272,0.952381,0.987179,0.979381,0.991453,0.80198,0.744186]
recall
0.915663 [0.880734,0.929293,0.962963,0.911565,0.987179,0.96875,0.965812,0.782178,0.827586]
recall
0.926707 [0.9,0.969697,0.956522,0.945946,0.910256,0.989583,0.991453,0.821782,0.802326]
recall
0.928715 [0.944954,0.919192,0.956522,0.931973,0.935897,0.989691,0.991453,0.831683,0.816092]
recall
0.914659 [0.926606,0.939394,0.937888,0.918919,0.961538,0.979381,0.965812,0.762376,0.813953]
recall
0.930723 [0.93578,0.929293,0.975155,0.939189,0.974684,0.989583,0.957265,0.80198,0.837209]
recall
0.926707 [0.881818,0.919192,0.938272,0.945578,0.974359,0.989583,0.974359,0.831683,0.872093]
recall
0.933735 [0.908257,0.93,0.956522,0.92517,0.974359,1,0.974359,0.871287,0.848837]
recall
0.920683 [0.926606,0.919192,0.950617,0.932432,0.923077,0.989583,0.957265,0.841584,0.802326]
recall
0.921687 [0.918182,0.929293,0.944099,0.938776,0.910256,0.979167,0.974359,0.821782,0.83908]
recall
0.931727 [0.944954,0.939394,0.969136,0.965986,0.961538,0.979167,0.974359,0.77451,0.825581]
recall
0.936747 [0.908257,0.969697,0.981481,0.945946,0.923077,1,0.974359,0.811881,0.872093]
recall
0.919679 [0.93578,0.89899,0.975155,0.939189,0.910256,0.979167,0.982906,0.77451,0.813953]
recall
0.922691 [0.954128,0.89,0.931677,0.931973,0.910256,0.979381,0.974359,0.831683,0.872093]
recall
0.926707 [0.899083,0.93,0.993789,0.931973,0.935897,0.989583,0.991453,0.752475,0.862069]
recall
0.918675 [0.93578,0.93,0.937888,0.911565,0.961538,0.989583,0.991453,0.831683,0.747126]
recall
0.914659 [0.908257,0.929293,0.95679,0.945946,0.948718,0.979167,0.974359,0.732673,0.802326]
recall
0.912651 [0.899083,0.888889,0.919255,0.931973,0.974684,0.979381,0.974359,0.831683,0.790698]
recall
0.934739 [0.972477,0.969697,0.938272,0.898649,0.961538,0.989583,0.974359,0.861386,0.848837]
recall
0.919679 [0.899083,0.959596,0.962733,0.897959,0.949367,0.989691,0.974359,0.772277,0.848837]
recall
0.930723 [0.909091,0.939394,0.981481,0.931973,0.910256,1,0.982906,0.831683,0.837209]
recall
0.935743 [0.917431,0.878788,0.95679,0.918919,0.987179,1,0.982906,0.871287,0.906977]
recall
0.929719 [0.93578,0.909091,0.962733,0.945946,0.936709,1,0.965812,0.762376,0.918605]
relative_absolute_error
0.128116
relative_absolute_error
0.133499
relative_absolute_error
0.125835
relative_absolute_error
0.122815
relative_absolute_error
0.107065
relative_absolute_error
0.12306
relative_absolute_error
0.106274
relative_absolute_error
0.116129
relative_absolute_error
0.125166
relative_absolute_error
0.129229
relative_absolute_error
0.125841
relative_absolute_error
0.134761
relative_absolute_error
0.123883
relative_absolute_error
0.124783
relative_absolute_error
0.132191
relative_absolute_error
0.120788
relative_absolute_error
0.126552
relative_absolute_error
0.125332
relative_absolute_error
0.129621
relative_absolute_error
0.130236
relative_absolute_error
0.125242
relative_absolute_error
0.112125
relative_absolute_error
0.127714
relative_absolute_error
0.110634
relative_absolute_error
0.128241
relative_absolute_error
0.127126
relative_absolute_error
0.131157
relative_absolute_error
0.124932
relative_absolute_error
0.122904
relative_absolute_error
0.12343
relative_absolute_error
0.108378
relative_absolute_error
0.124454
relative_absolute_error
0.109219
relative_absolute_error
0.119141
relative_absolute_error
0.126609
relative_absolute_error
0.111114
relative_absolute_error
0.125956
relative_absolute_error
0.120028
relative_absolute_error
0.120963
relative_absolute_error
0.116154
relative_absolute_error
0.115023
relative_absolute_error
0.125398
relative_absolute_error
0.143549
relative_absolute_error
0.114651
relative_absolute_error
0.123443
relative_absolute_error
0.108034
relative_absolute_error
0.120671
relative_absolute_error
0.124602
relative_absolute_error
0.131671
relative_absolute_error
0.123414
relative_absolute_error
0.128807
relative_absolute_error
0.109869
relative_absolute_error
0.133298
relative_absolute_error
0.121958
relative_absolute_error
0.113933
relative_absolute_error
0.118601
relative_absolute_error
0.114326
relative_absolute_error
0.110511
relative_absolute_error
0.119166
relative_absolute_error
0.114595
relative_absolute_error
0.128248
relative_absolute_error
0.115417
relative_absolute_error
0.110922
relative_absolute_error
0.122113
relative_absolute_error
0.130294
relative_absolute_error
0.130524
relative_absolute_error
0.120237
relative_absolute_error
0.138974
relative_absolute_error
0.121286
relative_absolute_error
0.132453
relative_absolute_error
0.120743
relative_absolute_error
0.12716
relative_absolute_error
0.114272
relative_absolute_error
0.131571
relative_absolute_error
0.114395
relative_absolute_error
0.125953
relative_absolute_error
0.122724
relative_absolute_error
0.131016
relative_absolute_error
0.128345
relative_absolute_error
0.120125
relative_absolute_error
0.116552
relative_absolute_error
0.124704
relative_absolute_error
0.119608
relative_absolute_error
0.120523
relative_absolute_error
0.11222
relative_absolute_error
0.129234
relative_absolute_error
0.122589
relative_absolute_error
0.117371
relative_absolute_error
0.111554
relative_absolute_error
0.124828
relative_absolute_error
0.129185
relative_absolute_error
0.11912
relative_absolute_error
0.127155
relative_absolute_error
0.132431
relative_absolute_error
0.135058
relative_absolute_error
0.116731
relative_absolute_error
0.127661
relative_absolute_error
0.1235
relative_absolute_error
0.110347
relative_absolute_error
0.125303
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
root_mean_prior_squared_error
0.313201
root_mean_prior_squared_error
0.313178
root_mean_prior_squared_error
0.313205
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
0.313188
root_mean_prior_squared_error
0.313188
root_mean_prior_squared_error
0.313201
root_mean_prior_squared_error
0.313186
root_mean_prior_squared_error
0.313183
root_mean_prior_squared_error
0.313178
root_mean_prior_squared_error
0.313183
root_mean_prior_squared_error
0.3132
root_mean_prior_squared_error
0.313201
root_mean_prior_squared_error
0.313201
root_mean_prior_squared_error
0.313188
root_mean_prior_squared_error
0.313194
root_mean_prior_squared_error
0.313178
root_mean_prior_squared_error
0.313204
root_mean_prior_squared_error
0.313181
root_mean_prior_squared_error
0.313178
root_mean_prior_squared_error
0.313183
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usercpu_time_millis_training
90
usercpu_time_millis_training
90
usercpu_time_millis_training
90
usercpu_time_millis_training
90
usercpu_time_millis_training
90
usercpu_time_millis_training
90
usercpu_time_millis_training
110
usercpu_time_millis_training
90
usercpu_time_millis_training
80
usercpu_time_millis_training
80
usercpu_time_millis_training
80
usercpu_time_millis_training
90
usercpu_time_millis_training
90
usercpu_time_millis_training
90
usercpu_time_millis_training
80
usercpu_time_millis_training
80
usercpu_time_millis_training
100
usercpu_time_millis_training
90
usercpu_time_millis_training
90
usercpu_time_millis_training
90
usercpu_time_millis_training
80
usercpu_time_millis_training
90
usercpu_time_millis_training
90
usercpu_time_millis_training
80
usercpu_time_millis_training
100
usercpu_time_millis_training
90
usercpu_time_millis_training
90