8886438
5202
thanos sig
167133
Supervised Classification
area_under_roc_curve
8105
sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier)(1)
6834970
copy
true
7646
with_mean
true
7646
with_std
true
7646
bootstrap
true
7684
class_weight
null
7684
criterion
"gini"
7684
max_depth
null
7684
max_features
"auto"
7684
max_leaf_nodes
null
7684
min_impurity_decrease
0.0
7684
min_impurity_split
null
7684
min_samples_leaf
1
7684
min_samples_split
2
7684
min_weight_fraction_leaf
0.0
7684
n_estimators
40
7684
n_jobs
1
7684
oob_score
false
7684
random_state
18899
7684
verbose
0
7684
warm_start
false
7684
memory
null
8105
openml-python
Sklearn_0.19.1.
40926
CIFAR_10_small
https://www.openml.org/data/download/16797612/cifar-10-small.arff
-1
18688666
description
https://api.openml.org/data/download/18688666/description.xml
-1
18688667
predictions
https://api.openml.org/data/download/18688667/predictions.arff
area_under_roc_curve
0.8112691689177683 [0.856854,0.845262,0.743611,0.725653,0.783707,0.775069,0.843056,0.809045,0.871769,0.858826]
average_cost
0
f_measure
0.40482797818889477 [0.497994,0.451519,0.294672,0.243658,0.348485,0.335965,0.440773,0.426769,0.53992,0.468116]
kappa
0.341145065375574
kb_relative_information_score
5868.001860766978
mean_absolute_error
0.15451700000000657
mean_prior_absolute_error
0.17999608295848674
number_of_instances
20000 [2005,1974,2032,2016,1999,1937,2030,2001,2025,1981]
precision
0.4049273468048458 [0.47267,0.433909,0.305658,0.260747,0.330787,0.355415,0.417733,0.472948,0.545638,0.453598]
predictive_accuracy
0.40704999999999997
prior_entropy
3.3217862890565693
recall
0.40705 [0.526185,0.470618,0.284449,0.228671,0.368184,0.318534,0.466502,0.388806,0.534321,0.483594]
relative_absolute_error
0.8584464587245684
root_mean_prior_squared_error
0.299996734149702
root_mean_squared_error
0.2729745409374297
root_relative_squared_error
0.9099250420546647
total_cost
0
area_under_roc_curve
0.8103529309644416 [0.891582,0.838671,0.744021,0.705799,0.776436,0.765003,0.858216,0.802915,0.855151,0.866111]
area_under_roc_curve
0.81298443629472 [0.862203,0.85006,0.741498,0.73046,0.792294,0.752095,0.822365,0.828392,0.877814,0.872829]
area_under_roc_curve
0.8059366941422461 [0.853078,0.869039,0.725112,0.73385,0.742738,0.768649,0.844715,0.805056,0.850268,0.867798]
area_under_roc_curve
0.8101864543623112 [0.860376,0.840699,0.716658,0.704949,0.789204,0.780846,0.835038,0.821796,0.8919,0.860817]
area_under_roc_curve
0.811334137867806 [0.846848,0.831029,0.766725,0.717832,0.781992,0.789378,0.841072,0.796956,0.890834,0.850321]
area_under_roc_curve
0.8131013929190668 [0.858925,0.836691,0.718302,0.73658,0.786525,0.799306,0.84609,0.826668,0.873091,0.849504]
area_under_roc_curve
0.8051538527795813 [0.816009,0.849432,0.73422,0.734818,0.80415,0.784751,0.831661,0.797318,0.838919,0.861278]
area_under_roc_curve
0.8160144109470642 [0.854033,0.836855,0.749897,0.759993,0.793629,0.787865,0.820536,0.794699,0.894538,0.868021]
area_under_roc_curve
0.8149517419875623 [0.870619,0.857722,0.77237,0.717665,0.771671,0.761802,0.860549,0.811869,0.85789,0.867214]
area_under_roc_curve
0.8134281674347762 [0.856114,0.84202,0.770755,0.714499,0.799119,0.760518,0.871513,0.805993,0.887141,0.825222]
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
0.39962539793869034 [0.541667,0.487437,0.300752,0.253444,0.314554,0.306407,0.47907,0.390244,0.464646,0.457944]
f_measure
0.40847585240603734 [0.513447,0.419512,0.268097,0.261307,0.344037,0.335196,0.430493,0.464088,0.566234,0.48227]
f_measure
0.395095441332498 [0.477958,0.490909,0.262887,0.234667,0.303614,0.331633,0.443325,0.39011,0.53598,0.481013]
f_measure
0.40252480965043114 [0.469974,0.475524,0.25323,0.209974,0.360406,0.330789,0.444444,0.481081,0.549763,0.449878]
f_measure
0.4032629560709672 [0.486998,0.410758,0.301887,0.237467,0.348235,0.394366,0.392344,0.445682,0.563591,0.452088]
f_measure
0.4141829728778495 [0.512195,0.406091,0.299213,0.235602,0.379808,0.373626,0.443925,0.479381,0.531469,0.480392]
f_measure
0.38189898311612774 [0.431461,0.44,0.260417,0.214477,0.342723,0.309392,0.440449,0.377143,0.515464,0.487119]
f_measure
0.4121974099220831 [0.506912,0.436019,0.343284,0.276042,0.353741,0.308571,0.425837,0.415512,0.595533,0.457143]
f_measure
0.4239766717601778 [0.525346,0.467662,0.33584,0.26776,0.354916,0.365079,0.461883,0.444444,0.529412,0.487685]
f_measure
0.40453568276629664 [0.513761,0.476886,0.316062,0.245431,0.383178,0.303867,0.443936,0.371014,0.545455,0.444444]
kappa
0.33719699888579097
kappa
0.34387084533713563
kappa
0.3311553291754601
kappa
0.33889568357214106
kappa
0.33716698613773377
kappa
0.35218245342283516
kappa
0.31718675386749257
kappa
0.34885868316669133
kappa
0.3622181475048313
kappa
0.34274838402495217
kb_relative_information_score
585.1660772747337
kb_relative_information_score
593.602352733531
kb_relative_information_score
571.4351685776654
kb_relative_information_score
585.526013856833
kb_relative_information_score
580.9947252821844
kb_relative_information_score
597.3813726228625
kb_relative_information_score
568.7222198783585
kb_relative_information_score
603.3478453741801
kb_relative_information_score
592.364742560636
kb_relative_information_score
589.4613426059635
mean_absolute_error
0.15464750000000035
mean_absolute_error
0.1541175000000003
mean_absolute_error
0.15555500000000053
mean_absolute_error
0.1545550000000002
mean_absolute_error
0.15516500000000036
mean_absolute_error
0.1536900000000001
mean_absolute_error
0.1556050000000004
mean_absolute_error
0.15317750000000072
mean_absolute_error
0.15453000000000025
mean_absolute_error
0.15412750000000056
mean_prior_absolute_error
0.17999559220389702
mean_prior_absolute_error
0.17999559220389702
mean_prior_absolute_error
0.17999584707646074
mean_prior_absolute_error
0.1799963768115932
mean_prior_absolute_error
0.1799963768115932
mean_prior_absolute_error
0.1799963768115932
mean_prior_absolute_error
0.1799963768115932
mean_prior_absolute_error
0.17999615692153823
mean_prior_absolute_error
0.17999606696651574
mean_prior_absolute_error
0.17999606696651574
number_of_instances
2000 [200,197,204,202,200,193,203,200,203,198]
number_of_instances
2000 [200,197,204,202,200,193,203,200,203,198]
number_of_instances
2000 [201,197,203,202,200,193,203,201,202,198]
number_of_instances
2000 [201,198,203,201,200,194,203,200,202,198]
number_of_instances
2000 [201,198,203,201,200,194,203,200,202,198]
number_of_instances
2000 [201,198,203,201,200,194,203,200,202,198]
number_of_instances
2000 [201,198,203,201,200,194,203,200,202,198]
number_of_instances
2000 [200,197,203,202,199,194,203,200,203,199]
number_of_instances
2000 [200,197,203,202,200,194,203,200,203,198]
number_of_instances
2000 [200,197,203,202,200,194,203,200,203,198]
precision
0.3990511726204682 [0.50431,0.482587,0.307692,0.285714,0.29646,0.331325,0.453744,0.426036,0.476684,0.426087]
precision
0.4114722695919207 [0.502392,0.403756,0.295858,0.265306,0.317797,0.363636,0.395062,0.518519,0.598901,0.453333]
precision
0.3951027521542944 [0.447826,0.444444,0.275676,0.254335,0.293023,0.326633,0.453608,0.435583,0.537313,0.482234]
precision
0.4023802495284047 [0.494505,0.441558,0.266304,0.222222,0.365979,0.326633,0.419214,0.523529,0.527273,0.436019]
precision
0.4058612705929573 [0.463964,0.398104,0.289593,0.252809,0.328889,0.434783,0.381395,0.503145,0.567839,0.440191]
precision
0.41300777241774866 [0.502392,0.408163,0.320225,0.248619,0.365741,0.4,0.422222,0.494681,0.502203,0.466667]
precision
0.3830797615672325 [0.393443,0.435644,0.276243,0.232558,0.323009,0.333333,0.404959,0.44,0.537634,0.454148]
precision
0.41411222764233 [0.470085,0.408889,0.346734,0.291209,0.322314,0.346154,0.413953,0.465839,0.6,0.473118]
precision
0.425330437887926 [0.487179,0.458537,0.341837,0.29878,0.341014,0.375,0.423868,0.47191,0.578947,0.475962]
precision
0.4048299578827713 [0.474576,0.457944,0.333333,0.259669,0.359649,0.327381,0.41453,0.441379,0.544118,0.434783]
predictive_accuracy
0.4035
predictive_accuracy
0.40950000000000003
predictive_accuracy
0.39799999999999996
predictive_accuracy
0.405
predictive_accuracy
0.4035
predictive_accuracy
0.41700000000000004
predictive_accuracy
0.38549999999999995
predictive_accuracy
0.414
predictive_accuracy
0.426
predictive_accuracy
0.40850000000000003
prior_entropy
3.3217862890565693
prior_entropy
3.3217862890565693
prior_entropy
3.3217862890565693
prior_entropy
3.3217862890565693
prior_entropy
3.3217862890565693
prior_entropy
3.3217862890565693
prior_entropy
3.3217862890565693
prior_entropy
3.3217862890565693
prior_entropy
3.3217862890565693
prior_entropy
3.3217862890565693
recall
0.4035 [0.585,0.492386,0.294118,0.227723,0.335,0.284974,0.507389,0.36,0.453202,0.494949]
recall
0.4095 [0.525,0.436548,0.245098,0.257426,0.375,0.310881,0.472906,0.42,0.536946,0.515152]
recall
0.398 [0.512438,0.548223,0.251232,0.217822,0.315,0.336788,0.433498,0.353234,0.534653,0.479798]
recall
0.405 [0.447761,0.515152,0.241379,0.199005,0.355,0.335052,0.472906,0.445,0.574257,0.464646]
recall
0.4035 [0.512438,0.424242,0.315271,0.223881,0.37,0.360825,0.403941,0.4,0.559406,0.464646]
recall
0.417 [0.522388,0.40404,0.280788,0.223881,0.395,0.350515,0.46798,0.465,0.564356,0.494949]
recall
0.3855 [0.477612,0.444444,0.246305,0.199005,0.365,0.28866,0.482759,0.33,0.49505,0.525253]
recall
0.414 [0.55,0.467005,0.339901,0.262376,0.39196,0.278351,0.438424,0.375,0.591133,0.442211]
recall
0.426 [0.57,0.477157,0.330049,0.242574,0.37,0.35567,0.507389,0.42,0.487685,0.5]
recall
0.4085 [0.56,0.497462,0.300493,0.232673,0.41,0.283505,0.477833,0.32,0.546798,0.454545]
relative_absolute_error
0.8591738170166822
relative_absolute_error
0.8562293004676341
relative_absolute_error
0.8642143834236466
relative_absolute_error
0.8586561726282794
relative_absolute_error
0.8620451297328919
relative_absolute_error
0.8538505203405918
relative_absolute_error
0.8644896233821203
relative_absolute_error
0.8510042804234539
relative_absolute_error
0.858518758794586
relative_absolute_error
0.8562825988229651
root_mean_prior_squared_error
0.29999591621531446
root_mean_prior_squared_error
0.29999591621531446
root_mean_prior_squared_error
0.2999963410084025
root_mean_prior_squared_error
0.2999972239097591
root_mean_prior_squared_error
0.2999972239097591
root_mean_prior_squared_error
0.2999972239097591
root_mean_prior_squared_error
0.2999972239097591
root_mean_prior_squared_error
0.299996857422719
root_mean_prior_squared_error
0.29999670749607354
root_mean_prior_squared_error
0.29999670749607354
root_mean_squared_error
0.27325960641851155
root_mean_squared_error
0.27241592739779374
root_mean_squared_error
0.2741453765796535
root_mean_squared_error
0.27285561658137103
root_mean_squared_error
0.27373184871329814
root_mean_squared_error
0.2720615739129658
root_mean_squared_error
0.27503727020169483
root_mean_squared_error
0.2712993042748176
root_mean_squared_error
0.2723779543208296
root_mean_squared_error
0.2725411666152473
root_relative_squared_error
0.9108777541571145
root_relative_squared_error
0.90806545247194
root_relative_squared_error
0.913829067575111
root_relative_squared_error
0.909527138369279
root_relative_squared_error
0.9124479391703915
root_relative_squared_error
0.9068803049817672
root_relative_squared_error
0.9167993843983957
root_relative_squared_error
0.904340487448959
root_relative_squared_error
0.9079364790175058
root_relative_squared_error
0.9084805259698205
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
usercpu_time_millis
32798.503091000384
usercpu_time_millis
32501.85076499929
usercpu_time_millis
32510.20482899912
usercpu_time_millis
32526.480905000426
usercpu_time_millis
32372.676836998835
usercpu_time_millis
32578.885226999773
usercpu_time_millis
32494.66467000002
usercpu_time_millis
32645.821763999265
usercpu_time_millis
32434.079021999423
usercpu_time_millis
32522.64970000033
usercpu_time_millis_testing
160.27452500020445
usercpu_time_millis_testing
173.61721999986912
usercpu_time_millis_testing
159.1973409995262
usercpu_time_millis_testing
154.98753500014573
usercpu_time_millis_testing
154.4734149993019
usercpu_time_millis_testing
163.46553299990774
usercpu_time_millis_testing
155.96981199996662
usercpu_time_millis_testing
160.2994499999113
usercpu_time_millis_testing
158.5696049996841
usercpu_time_millis_testing
160.4417630005628
usercpu_time_millis_training
32638.22856600018
usercpu_time_millis_training
32328.23354499942
usercpu_time_millis_training
32351.007487999595
usercpu_time_millis_training
32371.49337000028
usercpu_time_millis_training
32218.203421999533
usercpu_time_millis_training
32415.419693999866
usercpu_time_millis_training
32338.694858000054
usercpu_time_millis_training
32485.522313999354
usercpu_time_millis_training
32275.50941699974
usercpu_time_millis_training
32362.207936999766