6023320
1
Jan van Rijn
3950
Supervised Classification
predictive_accuracy
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)
4058005
bootstrap
true
6902
class_weight
null
6902
criterion
"gini"
6902
max_depth
null
6902
max_features
0.4687052575337566
6902
max_leaf_nodes
null
6902
min_impurity_split
1e-07
6902
min_samples_leaf
17
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
350
6902
verbose
0
6902
warm_start
false
6902
axis
0
6947
categorical_features
[0]
6947
copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
6947
strategy
"most_frequent"
6947
strategy_nominal
"most_frequent"
6947
verbose
0
6947
categorical_features
[0]
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.
1116
musk
https://www.openml.org/data/download/53999/musk.arff
-1
12969759
description
https://api.openml.org/data/download/12969759/description.xml
-1
12969760
predictions
https://api.openml.org/data/download/12969760/predictions.arff
area_under_roc_curve
0.997237255141364 [0.997237,0.997237]
average_cost
0
f_measure
0.9810385547813432 [0.98906,0.93702]
kappa
0.9261019097492549
kb_relative_information_score
5281.976083365127
mean_absolute_error
0.05643137983955737
mean_prior_absolute_error
0.26083092213436454
number_of_instances
6598 [5581,1017]
precision
0.9813037123375578 [0.981985,0.977564]
predictive_accuracy
0.9813579872688694
prior_entropy
0.6203559250859288
recall
0.9813579872688694 [0.996237,0.899705]
relative_absolute_error
0.2163523380501921
root_mean_prior_squared_error
0.36108063272361846
root_mean_squared_error
0.1326358495777128
root_relative_squared_error
0.36733027904943355
total_cost
0
area_under_roc_curve
0.9972723569315787 [0.997272,0.997272]
area_under_roc_curve
0.9955372830135638 [0.995537,0.995537]
area_under_roc_curve
0.9979970482816782 [0.997997,0.997997]
area_under_roc_curve
0.9980146180335934 [0.998015,0.998015]
area_under_roc_curve
0.9980673272893386 [0.998067,0.998067]
area_under_roc_curve
0.994518237402488 [0.994518,0.994518]
area_under_roc_curve
0.9966441773842153 [0.996644,0.996644]
area_under_roc_curve
0.9975929439876309 [0.997593,0.997593]
area_under_roc_curve
0.9991660456368218 [0.999166,0.999166]
area_under_roc_curve
0.9979772170765463 [0.997977,0.997977]
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
0.9814252901353966 [0.989362,0.9375]
f_measure
0.9748973077895715 [0.985866,0.914894]
f_measure
0.9832312966001094 [0.99017,0.945274]
f_measure
0.9797461160887999 [0.988485,0.931937]
f_measure
0.9832312966001094 [0.99017,0.945274]
f_measure
0.9785231999135743 [0.987522,0.929293]
f_measure
0.9785231999135743 [0.987522,0.929293]
f_measure
0.9893290069273423 [0.993744,0.965174]
f_measure
0.9813124164170152 [0.989362,0.936842]
f_measure
0.9798920958903031 [0.988444,0.932642]
kappa
0.9268954568110912
kappa
0.9008785762559133
kappa
0.9354460093896712
kappa
0.92048487544484
kappa
0.9354460093896712
kappa
0.9168286887016633
kappa
0.9168286887016633
kappa
0.9589201877934271
kappa
0.926253357206804
kappa
0.9211163595849102
kb_relative_information_score
519.5490570735259
kb_relative_information_score
513.9550197399197
kb_relative_information_score
533.6101696378257
kb_relative_information_score
539.6241186057563
kb_relative_information_score
539.9895124715645
kb_relative_information_score
518.6568089964214
kb_relative_information_score
506.5471950831745
kb_relative_information_score
536.7367344555219
kb_relative_information_score
544.5077838543398
kb_relative_information_score
528.7996834470921
mean_absolute_error
0.0585733796934367
mean_absolute_error
0.06246350907309935
mean_absolute_error
0.054787124115659475
mean_absolute_error
0.05217075794201182
mean_absolute_error
0.05267900326120076
mean_absolute_error
0.059698573455763265
mean_absolute_error
0.0628185213430982
mean_absolute_error
0.05359118213453664
mean_absolute_error
0.0515367339319219
mean_absolute_error
0.055986923896586376
mean_prior_absolute_error
0.2600651974288342
mean_prior_absolute_error
0.26111294765840265
mean_prior_absolute_error
0.26111294765840265
mean_prior_absolute_error
0.26111294765840265
mean_prior_absolute_error
0.26111294765840265
mean_prior_absolute_error
0.26111294765840265
mean_prior_absolute_error
0.26111294765840265
mean_prior_absolute_error
0.26111294765840265
mean_prior_absolute_error
0.2602257782682673
mean_prior_absolute_error
0.2602257782682673
number_of_instances
660 [559,101]
number_of_instances
660 [558,102]
number_of_instances
660 [558,102]
number_of_instances
660 [558,102]
number_of_instances
660 [558,102]
number_of_instances
660 [558,102]
number_of_instances
660 [558,102]
number_of_instances
660 [558,102]
number_of_instances
659 [558,101]
number_of_instances
659 [558,101]
precision
0.9819445931923964 [0.980668,0.989011]
precision
0.9764333227747861 [0.972125,1]
precision
0.9832063955058606 [0.987522,0.959596]
precision
0.9807514726954307 [0.977233,1]
precision
0.9832063955058606 [0.987522,0.959596]
precision
0.9785702772404901 [0.98227,0.958333]
precision
0.9785702772404901 [0.98227,0.958333]
precision
0.9893426241019825 [0.991087,0.979798]
precision
0.9821739477677502 [0.978947,1]
precision
0.9802412003045374 [0.9806,0.978261]
predictive_accuracy
0.9818181818181819
predictive_accuracy
0.9757575757575758
predictive_accuracy
0.9833333333333333
predictive_accuracy
0.9803030303030303
predictive_accuracy
0.9833333333333333
predictive_accuracy
0.9787878787878788
predictive_accuracy
0.9787878787878788
predictive_accuracy
0.9893939393939394
predictive_accuracy
0.9817905918057663
predictive_accuracy
0.9802731411229135
prior_entropy
0.6203559250859288
prior_entropy
0.6203559250859288
prior_entropy
0.6203559250859288
prior_entropy
0.6203559250859288
prior_entropy
0.6203559250859288
prior_entropy
0.6203559250859288
prior_entropy
0.6203559250859288
prior_entropy
0.6203559250859288
prior_entropy
0.6203559250859288
prior_entropy
0.6203559250859288
recall
0.9818181818181818 [0.998211,0.891089]
recall
0.9757575757575757 [1,0.843137]
recall
0.9833333333333333 [0.992832,0.931373]
recall
0.9803030303030303 [1,0.872549]
recall
0.9833333333333333 [0.992832,0.931373]
recall
0.9787878787878788 [0.992832,0.901961]
recall
0.9787878787878788 [0.992832,0.901961]
recall
0.9893939393939394 [0.996416,0.95098]
recall
0.9817905918057663 [1,0.881188]
recall
0.9802731411229135 [0.996416,0.891089]
relative_absolute_error
0.22522575212881016
relative_absolute_error
0.239220267065486
relative_absolute_error
0.2098215527302536
relative_absolute_error
0.1998014974357514
relative_absolute_error
0.2017479551803663
relative_absolute_error
0.22863122641418415
relative_absolute_error
0.24057987896210975
relative_absolute_error
0.20524138161331837
relative_absolute_error
0.19804622845163547
relative_absolute_error
0.2151474933389164
root_mean_prior_squared_error
0.360018747598774
root_mean_prior_squared_error
0.36147095160214215
root_mean_prior_squared_error
0.36147095160214215
root_mean_prior_squared_error
0.36147095160214215
root_mean_prior_squared_error
0.36147095160214215
root_mean_prior_squared_error
0.36147095160214215
root_mean_prior_squared_error
0.36147095160214215
root_mean_prior_squared_error
0.36147095160214215
root_mean_prior_squared_error
0.3602416958959955
root_mean_prior_squared_error
0.3602416958959955
root_mean_squared_error
0.1402601384543671
root_mean_squared_error
0.14511671866804027
root_mean_squared_error
0.12791755518714026
root_mean_squared_error
0.12865689319921625
root_mean_squared_error
0.12631914139990869
root_mean_squared_error
0.14049492384400436
root_mean_squared_error
0.14018330406607324
root_mean_squared_error
0.12570297814641912
root_mean_squared_error
0.11907164929378314
root_mean_squared_error
0.13016627727725044
root_relative_squared_error
0.38959120709647377
root_relative_squared_error
0.4014616334309622
root_relative_squared_error
0.35388059433316355
root_relative_squared_error
0.3559259537425408
root_relative_squared_error
0.34945862410250755
root_relative_squared_error
0.38867555808092147
root_relative_squared_error
0.38781347005821887
root_relative_squared_error
0.3477540244638407
root_relative_squared_error
0.3305326691781954
root_relative_squared_error
0.3613304033379591
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
19809.117166000022
usercpu_time_millis
19112.81085500002
usercpu_time_millis
20159.48091499996
usercpu_time_millis
20781.941144000026
usercpu_time_millis
19826.620655
usercpu_time_millis
19591.190415000026
usercpu_time_millis
19047.20804899995
usercpu_time_millis
19875.832134999993
usercpu_time_millis
19130.971067000017
usercpu_time_millis
19106.69254700002
usercpu_time_millis_testing
32.112759000028746
usercpu_time_millis_testing
31.918474000008246
usercpu_time_millis_testing
32.76519100000996
usercpu_time_millis_testing
32.14885900001718
usercpu_time_millis_testing
32.46696100001145
usercpu_time_millis_testing
33.10041400004593
usercpu_time_millis_testing
37.05764699998326
usercpu_time_millis_testing
31.364677999988544
usercpu_time_millis_testing
32.7375520000146
usercpu_time_millis_testing
32.81575599999087
usercpu_time_millis_training
19777.004406999993
usercpu_time_millis_training
19080.892381000012
usercpu_time_millis_training
20126.71572399995
usercpu_time_millis_training
20749.79228500001
usercpu_time_millis_training
19794.153693999986
usercpu_time_millis_training
19558.090000999982
usercpu_time_millis_training
19010.150401999967
usercpu_time_millis_training
19844.467457000006
usercpu_time_millis_training
19098.233515000004
usercpu_time_millis_training
19073.87679100003