5977808
1
Jan van Rijn
14967
Supervised Classification
6969
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.forest.RandomForestClassifier)(1)
4012541
bootstrap
true
6902
class_weight
null
6902
criterion
"gini"
6902
max_depth
null
6902
max_features
0.185712875388083
6902
max_leaf_nodes
null
6902
min_impurity_split
1e-07
6902
min_samples_leaf
13
6902
min_samples_split
5
6902
min_weight_fraction_leaf
0.0
6902
n_estimators
100
6902
n_jobs
1
6902
oob_score
false
6902
random_state
27257
6902
verbose
0
6902
warm_start
false
6902
axis
0
6947
categorical_features
[0, 1]
6947
copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
6947
strategy
"median"
6947
strategy_nominal
"most_frequent"
6947
verbose
0
6947
categorical_features
[0, 1]
6948
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
6948
handle_unknown
"ignore"
6948
n_values
"auto"
6948
sparse
false
6948
threshold
0.0
6949
openml-pimp
openml-python
Sklearn_0.18.1.
study_71
23380
cjs
https://www.openml.org/data/download/1910442/phpDAC5gS
-1
12878959
description
https://api.openml.org/data/download/12878959/description.xml
-1
12878960
predictions
https://api.openml.org/data/download/12878960/predictions.arff
area_under_roc_curve
0.9894139429839095 [0.996688,0.984061,0.99608,0.987711,0.990358,0.96599]
average_cost
0
f_measure
0.9103670295803151 [0.968778,0.906433,0.986587,0.873518,0.873589,0.727605]
kappa
0.889649117552359
kb_relative_information_score
2109.9333213721616
mean_absolute_error
0.09189627683986258
mean_prior_absolute_error
0.27287997162595995
number_of_instances
2796 [576,341,680,511,414,274]
precision
0.9127592512982042 [0.99633,0.90379,1,0.882236,0.819915,0.728938]
predictive_accuracy
0.9095135908440629
prior_entropy
2.5206634795042744
recall
0.9095135908440629 [0.942708,0.909091,0.973529,0.864971,0.934783,0.726277]
relative_absolute_error
0.33676446201711707
root_mean_prior_squared_error
0.3693707377543301
root_mean_squared_error
0.18064415858008392
root_relative_squared_error
0.48905920289828436
total_cost
0
area_under_roc_curve
0.9910721266223103 [0.997515,0.988044,0.99237,0.991951,0.994387,0.971797]
area_under_roc_curve
0.9932824308029993 [0.99767,0.998087,0.990705,0.996404,0.994285,0.977466]
area_under_roc_curve
0.9918789748087059 [0.998913,0.993066,0.999445,0.987156,0.982855,0.979308]
area_under_roc_curve
0.9873162189733992 [0.999612,0.942731,0.999029,0.995548,0.987346,0.972506]
area_under_roc_curve
0.9938857606867239 [0.999068,0.998087,0.99778,0.990047,0.996734,0.970722]
area_under_roc_curve
0.9843661659247983 [0.992001,0.96758,0.996878,0.979193,0.994999,0.951837]
area_under_roc_curve
0.9902015045024162 [0.993283,0.990156,1,0.993034,0.992767,0.949735]
area_under_roc_curve
0.989012568681761 [0.998419,0.984634,0.996864,0.975318,0.991762,0.976484]
area_under_roc_curve
0.9845852731551268 [0.991623,0.994598,0.993379,0.980392,0.981415,0.947825]
area_under_roc_curve
0.9920770237067575 [0.998657,0.989796,0.995121,0.99484,0.988246,0.974133]
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
0.9248765389042494 [0.982456,0.895522,0.992593,0.9,0.921348,0.727273]
f_measure
0.9187008698047515 [0.925926,0.868421,0.985075,0.92,0.91954,0.8]
f_measure
0.9197878792646946 [0.982456,0.955224,0.985075,0.877551,0.819277,0.8125]
f_measure
0.9229132402050073 [0.982759,0.90625,0.992593,0.888889,0.894118,0.754098]
f_measure
0.9088473069454549 [0.973451,0.90411,0.969697,0.878505,0.909091,0.680851]
f_measure
0.8997887235461249 [0.964286,0.941176,0.985075,0.846154,0.869565,0.64]
f_measure
0.9137230140988363 [0.954955,0.878788,1,0.893204,0.888889,0.730769]
f_measure
0.8997684330650372 [0.972973,0.828571,0.992593,0.821053,0.87234,0.792453]
f_measure
0.8856553580761815 [0.982143,0.939394,0.977444,0.808081,0.804598,0.655738]
f_measure
0.9062958594207127 [0.963636,0.955224,0.985075,0.897196,0.835165,0.653061]
kappa
0.9084839146472429
kappa
0.9000667256335055
kappa
0.9000232865015912
kappa
0.9041752224503764
kappa
0.8909742231913402
kappa
0.877900638529824
kappa
0.8948954605387078
kappa
0.8776564922556497
kappa
0.8560101341841042
kappa
0.8861260243006499
kb_relative_information_score
210.95641062281976
kb_relative_information_score
212.8433258244301
kb_relative_information_score
216.10999362611165
kb_relative_information_score
217.68569722936832
kb_relative_information_score
214.20013869187537
kb_relative_information_score
208.32559294128055
kb_relative_information_score
207.21222781701465
kb_relative_information_score
209.19647365878703
kb_relative_information_score
209.9693981479036
kb_relative_information_score
203.43406281257114
mean_absolute_error
0.09329563701697478
mean_absolute_error
0.0929008432359491
mean_absolute_error
0.08578017178966417
mean_absolute_error
0.08431925249884262
mean_absolute_error
0.08801164323861099
mean_absolute_error
0.09523471935906926
mean_absolute_error
0.09512008095249007
mean_absolute_error
0.09104195982536753
mean_absolute_error
0.09091959707227298
mean_absolute_error
0.10238128417604933
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272804289453111
mean_prior_absolute_error
0.27287651677373237
mean_prior_absolute_error
0.2728747259382053
mean_prior_absolute_error
0.2728747259382053
mean_prior_absolute_error
0.2728747259382053
mean_prior_absolute_error
0.2728747259382053
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,52,41,27]
number_of_instances
280 [58,35,68,51,41,27]
number_of_instances
279 [57,34,68,51,42,27]
number_of_instances
279 [57,34,68,51,42,27]
number_of_instances
279 [57,34,68,51,42,27]
number_of_instances
279 [57,34,68,51,42,27]
precision
0.9268121417037234 [1,0.909091,1,0.918367,0.854167,0.740741]
precision
0.9252100909376864 [1,0.785714,1,0.938776,0.869565,0.814815]
precision
0.9251498923231446 [1,0.969697,1,0.914894,0.809524,0.722222]
precision
0.9269318181818182 [0.982759,0.966667,1,0.916667,0.863636,0.69697]
precision
0.9132114693816822 [1,0.846154,1,0.854545,0.851064,0.8]
precision
0.9043517429344771 [1,0.969697,1,0.830189,0.784314,0.695652]
precision
0.9153846919707136 [0.981481,0.90625,1,0.884615,0.833333,0.76]
precision
0.9050771013136604 [1,0.805556,1,0.886364,0.788462,0.807692]
precision
0.8924248014618033 [1,0.96875,1,0.833333,0.777778,0.588235]
precision
0.9100063616192648 [1,0.969697,1,0.857143,0.77551,0.727273]
predictive_accuracy
0.925
predictive_accuracy
0.9178571428571429
predictive_accuracy
0.9178571428571429
predictive_accuracy
0.9214285714285714
predictive_accuracy
0.9107142857142857
predictive_accuracy
0.9
predictive_accuracy
0.9139784946236559
predictive_accuracy
0.8996415770609318
predictive_accuracy
0.8817204301075269
predictive_accuracy
0.9068100358422939
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
recall
0.925 [0.965517,0.882353,0.985294,0.882353,1,0.714286]
recall
0.9178571428571428 [0.862069,0.970588,0.970588,0.901961,0.97561,0.785714]
recall
0.9178571428571428 [0.965517,0.941176,0.970588,0.843137,0.829268,0.928571]
recall
0.9214285714285714 [0.982759,0.852941,0.985294,0.862745,0.926829,0.821429]
recall
0.9107142857142857 [0.948276,0.970588,0.941176,0.903846,0.97561,0.592593]
recall
0.9 [0.931034,0.914286,0.970588,0.862745,0.97561,0.592593]
recall
0.9139784946236559 [0.929825,0.852941,1,0.901961,0.952381,0.703704]
recall
0.899641577060932 [0.947368,0.852941,0.985294,0.764706,0.97619,0.777778]
recall
0.8817204301075269 [0.964912,0.911765,0.955882,0.784314,0.833333,0.740741]
recall
0.9068100358422939 [0.929825,0.941176,0.970588,0.941176,0.904762,0.592593]
relative_absolute_error
0.34186124433370607
relative_absolute_error
0.3404146097690899
relative_absolute_error
0.31432248285992315
relative_absolute_error
0.30896926696901816
relative_absolute_error
0.3226182528692909
relative_absolute_error
0.34900298671738517
relative_absolute_error
0.34858516348645197
relative_absolute_error
0.3336401328937468
relative_absolute_error
0.33319171190981783
relative_absolute_error
0.3751951882829721
root_mean_prior_squared_error
0.36940459271455434
root_mean_prior_squared_error
0.36940459271455434
root_mean_prior_squared_error
0.36940459271455434
root_mean_prior_squared_error
0.36940459271455434
root_mean_prior_squared_error
0.36926827610333357
root_mean_prior_squared_error
0.36936606105183667
root_mean_prior_squared_error
0.3693636368423697
root_mean_prior_squared_error
0.3693636368423697
root_mean_prior_squared_error
0.3693636368423697
root_mean_prior_squared_error
0.3693636368423697
root_mean_squared_error
0.18188523493366046
root_mean_squared_error
0.17874844840826795
root_mean_squared_error
0.17580990940709768
root_mean_squared_error
0.1706477321052366
root_mean_squared_error
0.1739194566240677
root_mean_squared_error
0.18535327012901034
root_mean_squared_error
0.18491662925455585
root_mean_squared_error
0.18268156889060397
root_mean_squared_error
0.18319852001531967
root_mean_squared_error
0.18854664286137238
root_relative_squared_error
0.4923740487282097
root_relative_squared_error
0.48388258276580265
root_relative_squared_error
0.4759277845333916
root_relative_squared_error
0.4619534663909801
root_relative_squared_error
0.47098401860927586
root_relative_squared_error
0.5018145673730374
root_relative_squared_error
0.500635717244335
root_relative_squared_error
0.49458460624960077
root_relative_squared_error
0.4959841785765765
root_relative_squared_error
0.5104634675823188
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
513.1503660001044
usercpu_time_millis
473.60419799997544
usercpu_time_millis
464.03638800006775
usercpu_time_millis
465.829610000128
usercpu_time_millis
462.4201469999889
usercpu_time_millis
463.19846200003667
usercpu_time_millis
463.4113539999589
usercpu_time_millis
467.54774200007887
usercpu_time_millis
469.6343410000736
usercpu_time_millis
461.7717989999619
usercpu_time_millis_testing
31.72203000008267
usercpu_time_millis_testing
29.22391399999924
usercpu_time_millis_testing
29.36429400006091
usercpu_time_millis_testing
29.200182000067798
usercpu_time_millis_testing
29.63505599996097
usercpu_time_millis_testing
29.57007199995587
usercpu_time_millis_testing
29.799506000017573
usercpu_time_millis_testing
29.42101400003594
usercpu_time_millis_testing
29.56111400010286
usercpu_time_millis_testing
29.253733000018656
usercpu_time_millis_training
481.4283360000218
usercpu_time_millis_training
444.3802839999762
usercpu_time_millis_training
434.67209400000684
usercpu_time_millis_training
436.6294280000602
usercpu_time_millis_training
432.78509100002793
usercpu_time_millis_training
433.6283900000808
usercpu_time_millis_training
433.61184799994135
usercpu_time_millis_training
438.12672800004293
usercpu_time_millis_training
440.07322699997076
usercpu_time_millis_training
432.51806599994325