10558909
8323
Heinrich Peters
6
Supervised Classification
17494
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(4)
8270395
copy
true
17405
with_mean
true
17405
with_std
true
17405
add_indicator
false
17407
copy
true
17407
fill_value
null
17407
missing_values
NaN
17407
strategy
"median"
17407
verbose
0
17407
memory
null
17494
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}]
17494
verbose
false
17494
C
15.690273823876444
17495
cache_size
200
17495
class_weight
null
17495
coef0
0.30581799832036705
17495
decision_function_shape
"ovr"
17495
degree
2
17495
gamma
1.0669788592014713
17495
kernel
"rbf"
17495
max_iter
-1
17495
probability
true
17495
random_state
1
17495
shrinking
true
17495
tol
0.001
17495
verbose
false
17495
openml-python
Sklearn_0.21.2.
6
letter
https://www.openml.org/data/download/6/dataset_6_letter.arff
-1
22042782
description
https://api.openml.org/data/download/22042782/description.xml
-1
22042783
predictions
https://api.openml.org/data/download/22042783/predictions.arff
area_under_roc_curve
0.9990790408260393 [0.999975,0.998813,0.999706,0.999411,0.998343,0.998318,0.998795,0.996734,0.999493,0.998349,0.997207,0.999824,0.999406,0.999147,0.99971,0.998414,0.999385,0.998513,0.999811,0.998705,0.999796,0.999344,0.999881,0.999829,0.999384,0.999599]
average_cost
0
f_measure
0.9612479169569932 [0.987277,0.950884,0.972715,0.956037,0.959318,0.957087,0.967033,0.916094,0.962815,0.957519,0.930988,0.982759,0.884835,0.96857,0.961385,0.958333,0.962821,0.938936,0.983188,0.977215,0.983344,0.966013,0.977181,0.969309,0.978316,0.980822]
kappa
0.9593341586263031
kb_relative_information_score
0.9463052107026972
mean_absolute_error
0.006573856085352982
mean_prior_absolute_error
0.07396191835229461
weighted_recall
0.9609 [0.983523,0.947781,0.96875,0.959006,0.951823,0.949677,0.967658,0.907357,0.960265,0.950469,0.930988,0.973719,0.979798,0.96424,0.958831,0.945205,0.959132,0.943272,0.977273,0.969849,0.98032,0.967277,0.968085,0.963151,0.975827,0.975477]
number_of_instances
20000 [789,766,736,805,768,775,773,734,755,747,739,761,792,783,753,803,783,758,748,796,813,764,752,787,786,734]
precision
0.9623303222951368 [0.99106,0.954008,0.976712,0.953086,0.966931,0.964613,0.966408,0.925,0.965379,0.964674,0.930988,0.991968,0.806653,0.972938,0.963952,0.971831,0.966538,0.934641,0.989175,0.984694,0.986386,0.964752,0.98645,0.975547,0.980818,0.986226]
predictive_accuracy
0.9609000000000001
prior_entropy
4.6998107276322685
relative_absolute_error
0.08888163303229185
root_mean_prior_squared_error
0.19230433563020993
root_mean_squared_error
0.05339848158411699
root_relative_squared_error
0.27767695101164624
total_cost
0
unweighted_recall
0.9607212982050052 [0.983523,0.947781,0.96875,0.959006,0.951823,0.949677,0.967658,0.907357,0.960265,0.950469,0.930988,0.973719,0.979798,0.96424,0.958831,0.945205,0.959132,0.943272,0.977273,0.969849,0.98032,0.967277,0.968085,0.963151,0.975827,0.975477]
area_under_roc_curve
0.9990096263818263 [0.999987,0.999703,0.999888,0.999749,0.99792,0.999642,0.999926,0.999559,0.999138,0.991117,0.990738,1,0.999914,0.999887,0.999785,0.999909,0.998199,0.99959,0.999958,0.999822,0.999975,0.999507,0.999938,0.999893,0.999928,0.999895]
area_under_roc_curve
0.9992045112596808 [1,0.997657,0.999902,0.999698,0.99817,0.999163,0.997474,0.999111,0.99985,0.999839,0.998344,0.998899,0.999928,0.999796,0.999806,0.99582,1,0.999364,0.99939,0.999947,1,0.999014,0.999896,0.99969,0.998649,0.999993]
area_under_roc_curve
0.9989597096718451 [0.999974,0.996981,0.999895,0.999659,0.999624,0.999807,0.997778,0.99427,0.997777,0.998681,0.998569,0.99985,0.999921,0.999862,0.999792,0.998828,0.997752,0.999077,0.999972,0.999519,0.998643,0.999872,1,0.999789,0.999631,0.997081]
area_under_roc_curve
0.9992552279272748 [1,0.999581,0.999804,0.999714,0.996293,0.999613,0.999932,0.997142,0.999802,0.999806,0.99796,0.999979,0.999974,0.999796,0.99964,0.999316,0.999633,0.996348,0.999979,0.998122,1,0.999048,0.999487,0.999829,0.999868,0.999698]
area_under_roc_curve
0.9993529410973824 [1,0.999365,0.999958,0.999492,0.99975,0.997986,0.997724,0.998166,0.999767,0.999536,0.997818,0.999973,0.998437,0.99988,0.999903,0.999043,0.999987,0.99708,0.999917,0.999883,0.999826,0.999699,0.999979,0.99998,0.999967,0.999993]
area_under_roc_curve
0.9988645222608449 [0.99998,0.99881,0.99993,0.999355,0.999872,0.9996,0.997298,0.996147,0.999688,0.999425,0.99819,1,0.999723,0.994884,0.999508,0.999857,0.999842,0.99974,0.999917,0.991517,0.999929,0.998277,0.999931,0.999624,0.99968,0.999929]
area_under_roc_curve
0.9989625009163637 [0.999934,0.99972,0.997988,0.999642,0.997346,0.999827,0.999486,0.997186,0.999674,0.997029,0.994731,0.999986,0.996725,0.99968,0.999521,0.998535,0.999848,0.998612,0.999931,0.999805,0.999961,0.999692,0.999931,0.999677,0.998279,0.999979]
area_under_roc_curve
0.9987970433555567 [0.99996,0.999904,0.999815,0.997891,0.995907,0.989262,0.999646,0.997509,0.999917,0.999778,0.999551,0.999884,0.999987,0.999593,0.999439,0.994783,0.999453,0.999631,0.999397,0.999987,0.999807,0.999644,0.99991,0.999993,0.998359,0.999986]
area_under_roc_curve
0.9991523396568641 [0.999993,0.996923,0.99995,0.99962,0.999041,0.998859,0.99975,0.993096,0.999633,0.998843,0.99779,0.99998,0.999624,0.999893,0.999882,0.999016,0.99984,0.998823,0.999903,0.998704,0.999911,0.99896,0.999986,0.99998,0.999723,0.999915]
area_under_roc_curve
0.9993559105119506 [0.999934,0.999588,0.999979,0.999665,0.999926,0.999439,0.999102,0.994668,0.999792,0.999938,0.998169,0.999911,0.999776,0.997939,0.999758,0.999678,0.99992,0.99619,0.999986,0.999967,0.999987,0.999925,0.999966,0.999867,0.99996,0.999915]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.9667895571957063 [0.987179,0.967742,0.966443,0.9625,0.966887,0.961039,0.987013,0.966443,0.927152,0.924138,0.959459,1,0.891429,0.987179,0.966887,0.968944,0.954248,0.96732,0.980132,0.974026,0.993939,0.986842,0.972973,0.967742,0.980892,0.965517]
f_measure
0.9650037634661862 [0.987013,0.948718,0.973684,0.952381,0.96732,0.923077,0.96732,0.929577,0.980392,0.979592,0.92517,0.980132,0.939759,0.968553,0.951724,0.941176,1,0.948052,0.993289,0.981132,0.993865,0.960526,0.966443,0.961538,0.975,0.993197]
f_measure
0.9538461641290016 [0.981132,0.954839,0.993289,0.951807,0.953642,0.96732,0.929032,0.884354,0.945946,0.947368,0.938776,0.952381,0.877193,0.961538,0.966443,0.974684,0.916129,0.922078,0.97931,0.987179,0.962963,0.9625,0.979592,0.961538,0.980892,0.965517]
f_measure
0.9629638498595592 [0.993631,0.933333,0.937063,0.969325,0.960526,0.955975,0.987013,0.902778,0.973333,0.979866,0.92517,0.987013,0.928571,0.967742,0.953642,0.955414,0.974684,0.945946,0.986486,0.974359,0.987805,0.974359,0.960526,0.967742,0.987342,0.960526]
f_measure
0.9604628817990205 [1,0.935065,0.97931,0.948718,0.944099,0.947368,0.96732,0.937063,0.96,0.939597,0.913907,0.986667,0.88764,0.967742,0.973684,0.9625,0.987013,0.929936,0.965986,0.974684,0.968553,0.961039,0.986667,0.974026,0.987013,0.986301]
f_measure
0.9576737264958511 [0.987342,0.959459,0.965986,0.936709,0.96,0.954839,0.955414,0.911565,0.966443,0.966887,0.890411,0.993377,0.850829,0.974359,0.946667,0.981132,0.974684,0.960526,0.979592,0.974684,0.9875,0.941935,0.972973,0.95,0.974026,0.97931]
f_measure
0.9544746577171631 [0.974359,0.966887,0.972222,0.962025,0.960526,0.974684,0.961538,0.90411,0.96732,0.937063,0.90411,0.986667,0.819149,0.962025,0.947368,0.954839,0.954839,0.92,0.986667,0.962963,0.993789,0.96,0.972603,0.955975,0.961538,0.993103]
f_measure
0.9609482215514344 [0.981132,0.973684,0.966443,0.956522,0.92517,0.96,0.974359,0.937931,0.972973,0.96732,0.940397,0.980132,0.877778,0.954248,0.96,0.926829,0.942675,0.954248,0.986486,0.987342,0.968944,0.96,0.979592,1,0.961039,0.993103]
f_measure
0.9670092662170031 [0.987179,0.926174,0.986111,0.969325,0.96732,0.95302,0.974684,0.893617,0.947368,0.945205,0.965986,1,0.912281,0.980645,0.986667,0.968944,0.967742,0.935065,0.986842,0.968553,0.993939,0.973333,0.993377,0.980892,0.981366,0.993197]
f_measure
0.963454023822458 [0.993711,0.942675,0.986111,0.950617,0.987013,0.973684,0.966887,0.893333,0.986842,0.986486,0.945946,0.959459,0.875,0.961538,0.960526,0.948718,0.955975,0.905405,0.986667,0.9875,0.981366,0.980132,0.986842,0.974026,0.993631,0.979021]
kappa
0.9651585972851268
kappa
0.9635982978564077
kappa
0.9516377637301949
kappa
0.9615183406708497
kappa
0.9583983359334373
kappa
0.9552778855384282
kappa
0.951637260734448
kappa
0.9589180362821343
kappa
0.9656781363228023
kappa
0.9615182906424703
kb_relative_information_score
0.9513149915692344
kb_relative_information_score
0.9473951012725247
kb_relative_information_score
0.9444701355783783
kb_relative_information_score
0.949503649114371
kb_relative_information_score
0.9490496360935363
kb_relative_information_score
0.943623448605679
kb_relative_information_score
0.9404588571767347
kb_relative_information_score
0.9482056934210652
kb_relative_information_score
0.9462807983081319
kb_relative_information_score
0.9427497506477487
mean_absolute_error
0.00601015921164577
mean_absolute_error
0.006636157301625547
mean_absolute_error
0.006545545895112517
mean_absolute_error
0.006443246949207677
mean_absolute_error
0.00630910994413986
mean_absolute_error
0.006728364144529369
mean_absolute_error
0.007132155133825199
mean_absolute_error
0.006351262784293876
mean_absolute_error
0.00656839780510432
mean_absolute_error
0.007014161684045677
mean_prior_absolute_error
0.07396194754511427
mean_prior_absolute_error
0.07396200900367966
mean_prior_absolute_error
0.07396191681583157
mean_prior_absolute_error
0.07396192641873242
mean_prior_absolute_error
0.07396195714801512
mean_prior_absolute_error
0.07396196483033579
mean_prior_absolute_error
0.07396196867149613
mean_prior_absolute_error
0.07396191489525139
mean_prior_absolute_error
0.07396179389870075
mean_prior_absolute_error
0.0739617842957999
number_of_instances
2000 [79,77,74,81,77,77,77,73,76,74,74,76,79,78,75,80,78,76,75,79,82,77,75,78,79,74]
number_of_instances
2000 [78,77,74,81,77,77,77,73,76,74,74,76,79,79,75,80,78,76,75,79,81,77,75,79,79,74]
number_of_instances
2000 [79,77,74,81,76,78,77,73,76,74,74,76,79,79,75,80,78,76,74,79,81,77,75,79,79,74]
number_of_instances
2000 [79,77,74,80,76,78,77,73,76,75,73,76,80,79,75,80,78,76,74,79,81,77,75,79,79,74]
number_of_instances
2000 [79,77,74,80,77,78,77,73,76,75,74,76,80,78,75,80,78,76,75,80,81,76,75,79,78,73]
number_of_instances
2000 [79,76,74,80,77,78,78,73,75,75,74,76,79,78,76,80,79,76,75,80,81,76,75,79,78,73]
number_of_instances
2000 [79,76,73,80,77,78,78,74,75,75,74,76,79,78,76,80,79,76,75,80,81,76,75,79,78,73]
number_of_instances
2000 [79,76,73,80,77,77,78,74,75,75,74,76,79,78,76,81,79,76,75,80,81,76,75,79,78,73]
number_of_instances
2000 [79,76,73,81,77,77,77,74,75,75,74,77,79,78,75,81,78,75,75,80,82,76,76,78,79,73]
number_of_instances
2000 [79,77,73,81,77,77,77,74,75,75,74,76,79,78,75,81,78,75,75,80,82,76,76,78,79,73]
precision
0.9680311962472277 [1,0.961538,0.96,0.974684,0.986486,0.961039,0.987013,0.947368,0.933333,0.943662,0.959459,1,0.8125,0.987179,0.960526,0.962963,0.973333,0.961039,0.973684,1,0.987952,1,0.986301,0.974026,0.987179,0.985915]
precision
0.9657502608599982 [1,0.936709,0.948718,0.91954,0.973684,0.911392,0.973684,0.956522,0.974026,0.986301,0.931507,0.986667,0.896552,0.9625,0.985714,0.986301,1,0.935897,1,0.975,0.987805,0.973333,0.972973,0.974026,0.962963,1]
precision
0.9551438564645073 [0.975,0.948718,0.986667,0.929412,0.96,0.986667,0.923077,0.878378,0.972222,0.923077,0.945205,0.985915,0.815217,0.974026,0.972973,0.987179,0.922078,0.910256,1,1,0.962963,0.927711,1,0.974026,0.987179,0.985915]
precision
0.9635852386554836 [1,0.958904,0.971014,0.951807,0.960526,0.938272,0.987013,0.915493,0.986486,0.986486,0.918919,0.974359,0.886364,0.986842,0.947368,0.974026,0.9625,0.972222,0.986486,0.987013,0.975904,0.962025,0.948052,0.986842,0.987342,0.935897]
precision
0.9622671771944015 [1,0.935065,1,0.973684,0.904762,0.972973,0.973684,0.957143,0.972973,0.945946,0.896104,1,0.806122,0.974026,0.961039,0.9625,1,0.901235,0.986111,0.987179,0.987179,0.948718,0.986667,1,1,0.986301]
precision
0.9597427673804834 [0.987342,0.986111,0.972603,0.948718,0.986301,0.961039,0.949367,0.905405,0.972973,0.960526,0.902778,1,0.754902,0.974359,0.959459,0.987342,0.974684,0.960526,1,0.987179,1,0.924051,0.986301,0.938272,0.986842,0.986111]
precision
0.9576636218767878 [0.987013,0.973333,0.985915,0.974359,0.973333,0.9625,0.961538,0.916667,0.948718,0.985294,0.916667,1,0.706422,0.95,0.947368,0.986667,0.973684,0.932432,0.986667,0.95122,1,0.972973,1,0.95,0.961538,1]
precision
0.9629466421916476 [0.975,0.973684,0.947368,0.950617,0.971429,0.986301,0.974359,0.957746,0.986301,0.948718,0.922078,0.986667,0.782178,0.973333,0.972973,0.915663,0.948718,0.948052,1,1,0.975,0.972973,1,1,0.973684,1]
precision
0.9679874139195518 [1,0.945205,1,0.963415,0.973684,0.986111,0.950617,0.940299,0.935065,0.971831,0.972603,1,0.847826,0.987013,0.986667,0.975,0.974026,0.911392,0.974026,0.974684,0.987952,0.986486,1,0.974684,0.963415,0.986486]
precision
0.9650599581026322 [0.9875,0.925,1,0.950617,0.987013,0.986667,0.986486,0.881579,0.974026,1,0.945946,0.986111,0.793814,0.961538,0.948052,0.986667,0.938272,0.917808,0.986667,0.9875,1,0.986667,0.986842,0.986842,1,1]
predictive_accuracy
0.9665
predictive_accuracy
0.965
predictive_accuracy
0.9534999999999999
predictive_accuracy
0.963
predictive_accuracy
0.96
predictive_accuracy
0.9570000000000001
predictive_accuracy
0.9534999999999999
predictive_accuracy
0.9605
predictive_accuracy
0.9670000000000001
predictive_accuracy
0.963
prior_entropy
4.699825815607033
prior_entropy
4.699854731688913
prior_entropy
4.699809751694497
prior_entropy
4.699813724681224
prior_entropy
4.6998289081692235
prior_entropy
4.699832499136173
prior_entropy
4.69983445932086
prior_entropy
4.699808889896364
prior_entropy
4.69975160696033
prior_entropy
4.699746889170326
relative_absolute_error
0.08126015351312615
relative_absolute_error
0.08972386487359196
relative_absolute_error
0.08849886775394443
relative_absolute_error
0.08711572644456958
relative_absolute_error
0.08530209566404334
relative_absolute_error
0.09097059765737463
relative_absolute_error
0.09643003373129287
relative_absolute_error
0.08587207069055548
relative_absolute_error
0.08880798394506902
relative_absolute_error
0.09483494416513143
root_mean_prior_squared_error
0.1923044115328483
root_mean_prior_squared_error
0.19230457132777806
root_mean_prior_squared_error
0.19230433163533361
root_mean_prior_squared_error
0.19230435660331052
root_mean_prior_squared_error
0.19230443650081483
root_mean_prior_squared_error
0.19230445647518574
root_mean_prior_squared_error
0.1923044664623704
root_mean_prior_squared_error
0.19230432664173788
root_mean_prior_squared_error
0.192304012044943
root_mean_prior_squared_error
0.19230398707692134
root_mean_squared_error
0.05081511913827463
root_mean_squared_error
0.05340396544516778
root_mean_squared_error
0.05497947203752792
root_mean_squared_error
0.051938356863096384
root_mean_squared_error
0.052204820100391416
root_mean_squared_error
0.05409508661283611
root_mean_squared_error
0.05615828660930691
root_mean_squared_error
0.052581925935616766
root_mean_squared_error
0.053389057667457405
root_mean_squared_error
0.05421123528797821
root_relative_squared_error
0.2642431275144964
root_relative_squared_error
0.27770512721791796
root_relative_squared_error
0.2858982508089595
root_relative_squared_error
0.2700841404765255
root_relative_squared_error
0.27146966055653227
root_relative_squared_error
0.2812991836193684
root_relative_squared_error
0.2920279889614307
root_relative_squared_error
0.2734308003042316
root_relative_squared_error
0.27762841294741136
root_relative_squared_error
0.2819038549954442
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
unweighted_recall
0.9663571714554228 [0.974684,0.974026,0.972973,0.950617,0.948052,0.961039,0.987013,0.986301,0.921053,0.905405,0.959459,1,0.987342,0.987179,0.973333,0.975,0.935897,0.973684,0.986667,0.949367,1,0.974026,0.96,0.961538,0.974684,0.945946]
unweighted_recall
0.9647896260235606 [0.974359,0.961039,1,0.987654,0.961039,0.935065,0.961039,0.90411,0.986842,0.972973,0.918919,0.973684,0.987342,0.974684,0.92,0.9,1,0.960526,0.986667,0.987342,1,0.948052,0.96,0.949367,0.987342,0.986486]
unweighted_recall
0.953290998724617 [0.987342,0.961039,1,0.975309,0.947368,0.948718,0.935065,0.890411,0.921053,0.972973,0.932432,0.921053,0.949367,0.949367,0.96,0.9625,0.910256,0.934211,0.959459,0.974684,0.962963,1,0.96,0.949367,0.974684,0.945946]
unweighted_recall
0.9626602499635445 [0.987342,0.909091,0.905405,0.9875,0.960526,0.974359,0.987013,0.890411,0.960526,0.973333,0.931507,1,0.975,0.949367,0.96,0.9375,0.987179,0.921053,0.986486,0.962025,1,0.987013,0.973333,0.949367,0.987342,0.986486]
unweighted_recall
0.95994356004498 [1,0.935065,0.959459,0.925,0.987013,0.923077,0.961039,0.917808,0.947368,0.933333,0.932432,0.973684,0.9875,0.961538,0.986667,0.9625,0.974359,0.960526,0.946667,0.9625,0.950617,0.973684,0.986667,0.949367,0.974359,0.986301]
unweighted_recall
0.9567561353830094 [0.987342,0.934211,0.959459,0.925,0.935065,0.948718,0.961538,0.917808,0.96,0.973333,0.878378,0.986842,0.974684,0.974359,0.934211,0.975,0.974684,0.960526,0.96,0.9625,0.975309,0.960526,0.96,0.962025,0.961538,0.972603]
unweighted_recall
0.953266515133154 [0.962025,0.960526,0.958904,0.95,0.948052,0.987179,0.961538,0.891892,0.986667,0.893333,0.891892,0.973684,0.974684,0.974359,0.947368,0.925,0.936709,0.907895,0.986667,0.975,0.987654,0.947368,0.946667,0.962025,0.961538,0.986301]
unweighted_recall
0.9605213105777145 [0.987342,0.973684,0.986301,0.9625,0.883117,0.935065,0.974359,0.918919,0.96,0.986667,0.959459,0.973684,1,0.935897,0.947368,0.938272,0.936709,0.960526,0.973333,0.975,0.962963,0.947368,0.96,1,0.948718,0.986301]
unweighted_recall
0.9667051577956158 [0.974684,0.907895,0.972603,0.975309,0.961039,0.922078,1,0.851351,0.96,0.92,0.959459,1,0.987342,0.974359,0.986667,0.962963,0.961538,0.96,1,0.9625,1,0.960526,0.986842,0.987179,1,1]
unweighted_recall
0.9629222286724363 [1,0.961039,0.972603,0.950617,0.987013,0.961039,0.948052,0.905405,1,0.973333,0.945946,0.934211,0.974684,0.961538,0.973333,0.91358,0.974359,0.893333,0.986667,0.9875,0.963415,0.973684,0.986842,0.961538,0.987342,0.958904]
usercpu_time_millis
261074.9999999989
usercpu_time_millis
248725.2179999996
usercpu_time_millis
294123.27199999895
usercpu_time_millis
244884.46399999884
usercpu_time_millis
255910.9720000015
usercpu_time_millis
279170.8619999954
usercpu_time_millis
308542.9600000025
usercpu_time_millis
293861.18399999756
usercpu_time_millis
293540.11600000015
usercpu_time_millis
248078.56800000445
usercpu_time_millis_testing
2586.594000000332
usercpu_time_millis_testing
3257.8599999997095
usercpu_time_millis_testing
3063.028000000486
usercpu_time_millis_testing
3397.057999998651
usercpu_time_millis_testing
3987.3440000010305
usercpu_time_millis_testing
4209.157999997842
usercpu_time_millis_testing
3874.362000002293
usercpu_time_millis_testing
3847.065999998449
usercpu_time_millis_testing
3381.5360000007786
usercpu_time_millis_testing
3045.06400000173
usercpu_time_millis_training
258488.40599999856
usercpu_time_millis_training
245467.3579999999
usercpu_time_millis_training
291060.24399999843
usercpu_time_millis_training
241487.4060000002
usercpu_time_millis_training
251923.62800000046
usercpu_time_millis_training
274961.7039999976
usercpu_time_millis_training
304668.59800000023
usercpu_time_millis_training
290014.11799999914
usercpu_time_millis_training
290158.5799999994
usercpu_time_millis_training
245033.50400000272
wall_clock_time_millis
134210.48593521118
wall_clock_time_millis
127028.45120429993
wall_clock_time_millis
176718.86777877808
wall_clock_time_millis
127726.61113739014
wall_clock_time_millis
132858.18195343018
wall_clock_time_millis
158549.2238998413
wall_clock_time_millis
196717.10801124573
wall_clock_time_millis
187121.82688713074
wall_clock_time_millis
184897.14217185974
wall_clock_time_millis
144174.85880851746
wall_clock_time_millis_testing
1310.472011566162
wall_clock_time_millis_testing
1651.4501571655273
wall_clock_time_millis_testing
1624.3069171905518
wall_clock_time_millis_testing
1719.6340560913086
wall_clock_time_millis_testing
2211.2410068511963
wall_clock_time_millis_testing
2489.4089698791504
wall_clock_time_millis_testing
2456.0961723327637
wall_clock_time_millis_testing
2450.1118659973145
wall_clock_time_millis_testing
2044.0740585327148
wall_clock_time_millis_testing
1758.3448886871338
wall_clock_time_millis_training
132900.01392364502
wall_clock_time_millis_training
125377.0010471344
wall_clock_time_millis_training
175094.56086158752
wall_clock_time_millis_training
126006.97708129883
wall_clock_time_millis_training
130646.94094657898
wall_clock_time_millis_training
156059.81492996216
wall_clock_time_millis_training
194261.01183891296
wall_clock_time_millis_training
184671.71502113342
wall_clock_time_millis_training
182853.06811332703
wall_clock_time_millis_training
142416.51391983032
weighted_recall
0.9665 [0.974684,0.974026,0.972973,0.950617,0.948052,0.961039,0.987013,0.986301,0.921053,0.905405,0.959459,1,0.987342,0.987179,0.973333,0.975,0.935897,0.973684,0.986667,0.949367,1,0.974026,0.96,0.961538,0.974684,0.945946]
weighted_recall
0.965 [0.974359,0.961039,1,0.987654,0.961039,0.935065,0.961039,0.90411,0.986842,0.972973,0.918919,0.973684,0.987342,0.974684,0.92,0.9,1,0.960526,0.986667,0.987342,1,0.948052,0.96,0.949367,0.987342,0.986486]
weighted_recall
0.9535 [0.987342,0.961039,1,0.975309,0.947368,0.948718,0.935065,0.890411,0.921053,0.972973,0.932432,0.921053,0.949367,0.949367,0.96,0.9625,0.910256,0.934211,0.959459,0.974684,0.962963,1,0.96,0.949367,0.974684,0.945946]
weighted_recall
0.963 [0.987342,0.909091,0.905405,0.9875,0.960526,0.974359,0.987013,0.890411,0.960526,0.973333,0.931507,1,0.975,0.949367,0.96,0.9375,0.987179,0.921053,0.986486,0.962025,1,0.987013,0.973333,0.949367,0.987342,0.986486]
weighted_recall
0.96 [1,0.935065,0.959459,0.925,0.987013,0.923077,0.961039,0.917808,0.947368,0.933333,0.932432,0.973684,0.9875,0.961538,0.986667,0.9625,0.974359,0.960526,0.946667,0.9625,0.950617,0.973684,0.986667,0.949367,0.974359,0.986301]
weighted_recall
0.957 [0.987342,0.934211,0.959459,0.925,0.935065,0.948718,0.961538,0.917808,0.96,0.973333,0.878378,0.986842,0.974684,0.974359,0.934211,0.975,0.974684,0.960526,0.96,0.9625,0.975309,0.960526,0.96,0.962025,0.961538,0.972603]
weighted_recall
0.9535 [0.962025,0.960526,0.958904,0.95,0.948052,0.987179,0.961538,0.891892,0.986667,0.893333,0.891892,0.973684,0.974684,0.974359,0.947368,0.925,0.936709,0.907895,0.986667,0.975,0.987654,0.947368,0.946667,0.962025,0.961538,0.986301]
weighted_recall
0.9605 [0.987342,0.973684,0.986301,0.9625,0.883117,0.935065,0.974359,0.918919,0.96,0.986667,0.959459,0.973684,1,0.935897,0.947368,0.938272,0.936709,0.960526,0.973333,0.975,0.962963,0.947368,0.96,1,0.948718,0.986301]
weighted_recall
0.967 [0.974684,0.907895,0.972603,0.975309,0.961039,0.922078,1,0.851351,0.96,0.92,0.959459,1,0.987342,0.974359,0.986667,0.962963,0.961538,0.96,1,0.9625,1,0.960526,0.986842,0.987179,1,1]
weighted_recall
0.963 [1,0.961039,0.972603,0.950617,0.987013,0.961039,0.948052,0.905405,1,0.973333,0.945946,0.934211,0.974684,0.961538,0.973333,0.91358,0.974359,0.893333,0.986667,0.9875,0.963415,0.973684,0.986842,0.961538,0.987342,0.958904]