5968540
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)
4003273
bootstrap
false
6902
class_weight
null
6902
criterion
"gini"
6902
max_depth
null
6902
max_features
0.4979116169446586
6902
max_leaf_nodes
null
6902
min_impurity_split
1e-07
6902
min_samples_leaf
18
6902
min_samples_split
20
6902
min_weight_fraction_leaf
0.0
6902
n_estimators
100
6902
n_jobs
1
6902
oob_score
false
6902
random_state
64371
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
"mean"
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
12860456
description
https://api.openml.org/data/download/12860456/description.xml
-1
12860455
predictions
https://api.openml.org/data/download/12860455/predictions.arff
area_under_roc_curve
0.9978294103272498 [0.997829,0.997829]
average_cost
0
f_measure
0.9869809429478078 [0.99242,0.957136]
kappa
0.9495610662479236
kb_relative_information_score
5628.253871640257
mean_absolute_error
0.03990303090850054
mean_prior_absolute_error
0.26083092213436454
number_of_instances
6598 [5581,1017]
precision
0.9870746061711888 [0.987926,0.982402]
predictive_accuracy
0.9871173082752349
prior_entropy
0.6203559250859288
recall
0.9871173082752349 [0.996954,0.933137]
relative_absolute_error
0.15298428032219613
root_mean_prior_squared_error
0.36108063272361846
root_mean_squared_error
0.11324821767165416
root_relative_squared_error
0.3136369204225296
total_cost
0
area_under_roc_curve
0.9981579553304167 [0.998158,0.998158]
area_under_roc_curve
0.9957832595403754 [0.995783,0.995783]
area_under_roc_curve
0.9987174081101974 [0.998717,0.998717]
area_under_roc_curve
0.9983484433199802 [0.998348,0.998348]
area_under_roc_curve
0.9983835828238105 [0.998384,0.998384]
area_under_roc_curve
0.9951156089676014 [0.995116,0.995116]
area_under_roc_curve
0.9966441773842153 [0.996644,0.996644]
area_under_roc_curve
0.9982430248084897 [0.998243,0.998243]
area_under_roc_curve
0.9994499449944996 [0.99945,0.99945]
area_under_roc_curve
0.9989176336988537 [0.998918,0.998918]
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
0.987725611111478 [0.992883,0.959184]
f_measure
0.9814303145719893 [0.989343,0.938144]
f_measure
0.9877275428077567 [0.99287,0.959596]
f_measure
0.9892843505500906 [0.993756,0.964824]
f_measure
0.9862801517637259 [0.991957,0.955224]
f_measure
0.9831611222929993 [0.990187,0.944724]
f_measure
0.9786136363636363 [0.9875,0.93]
f_measure
0.9908722178121211 [0.994633,0.970297]
f_measure
0.9923333823696536 [0.99554,0.974619]
f_measure
0.9923333823696536 [0.99554,0.974619]
kappa
0.9520740673504585
kappa
0.9275203162749835
kappa
0.9524735364009507
kappa
0.9585843373493975
kappa
0.9471830985915491
kappa
0.934918244406196
kappa
0.9175058924362545
kappa
0.964930924548353
kappa
0.9701623638289973
kappa
0.9701623638289973
kb_relative_information_score
555.2073015048708
kb_relative_information_score
546.3198444576684
kb_relative_information_score
567.3225159342397
kb_relative_information_score
578.5513597989433
kb_relative_information_score
570.4446951979885
kb_relative_information_score
543.9163513581557
kb_relative_information_score
542.1333840913109
kb_relative_information_score
579.6827999740472
kb_relative_information_score
576.7948295814774
kb_relative_information_score
567.8807897416943
mean_absolute_error
0.041880132250013254
mean_absolute_error
0.04594222559358508
mean_absolute_error
0.038781239990255685
mean_absolute_error
0.035374729753329504
mean_absolute_error
0.03728270492677875
mean_absolute_error
0.04777559509569387
mean_absolute_error
0.0466076274745996
mean_absolute_error
0.033223332191584645
mean_absolute_error
0.03567864871776591
mean_absolute_error
0.036472474699884155
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
0.9878957248309834 [0.987611,0.989474]
precision
0.981946918666147 [0.980634,0.98913]
precision
0.9878969213410702 [0.987589,0.989583]
precision
0.9893965751155693 [0.989343,0.989691]
precision
0.9862745098039215 [0.989305,0.969697]
precision
0.9832066799728991 [0.98579,0.969072]
precision
0.9785757201618921 [0.983986,0.94898]
precision
0.9908701298701299 [0.992857,0.98]
precision
0.9924801289428786 [0.991119,1]
precision
0.9924801289428786 [0.991119,1]
predictive_accuracy
0.9878787878787878
predictive_accuracy
0.9818181818181819
predictive_accuracy
0.9878787878787878
predictive_accuracy
0.9893939393939394
predictive_accuracy
0.9863636363636364
predictive_accuracy
0.9833333333333333
predictive_accuracy
0.9787878787878788
predictive_accuracy
0.990909090909091
predictive_accuracy
0.992412746585736
predictive_accuracy
0.992412746585736
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
0.9878787878787879 [0.998211,0.930693]
recall
0.9818181818181818 [0.998208,0.892157]
recall
0.9878787878787879 [0.998208,0.931373]
recall
0.9893939393939394 [0.998208,0.941176]
recall
0.9863636363636363 [0.994624,0.941176]
recall
0.9833333333333333 [0.994624,0.921569]
recall
0.9787878787878788 [0.991039,0.911765]
recall
0.990909090909091 [0.996416,0.960784]
recall
0.992412746585736 [1,0.950495]
recall
0.992412746585736 [1,0.950495]
relative_absolute_error
0.16103705018613104
relative_absolute_error
0.17594771153856514
relative_absolute_error
0.1485228531868542
relative_absolute_error
0.13547673552982137
relative_absolute_error
0.14278382309694318
relative_absolute_error
0.18296907726764902
relative_absolute_error
0.17849604124408788
relative_absolute_error
0.12723739856458058
relative_absolute_error
0.13710651171916072
relative_absolute_error
0.14015703956233191
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
0.12010948495784692
root_mean_squared_error
0.12873475210087304
root_mean_squared_error
0.10912163854135312
root_mean_squared_error
0.10491667511850881
root_mean_squared_error
0.10779603527463051
root_mean_squared_error
0.13017083788522454
root_mean_squared_error
0.12720710159835139
root_mean_squared_error
0.09949076176394196
root_mean_squared_error
0.09742774550137269
root_mean_squared_error
0.10095507222440765
root_relative_squared_error
0.3336200843954492
root_relative_squared_error
0.35614134837193406
root_relative_squared_error
0.30188217907329745
root_relative_squared_error
0.2902492569693035
root_relative_squared_error
0.29821493206258426
root_relative_squared_error
0.3601142423983735
root_relative_squared_error
0.3519151429306651
root_relative_squared_error
0.275238608587967
root_relative_squared_error
0.2704510516447847
root_relative_squared_error
0.28024260760074304
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
26156.329778000003
usercpu_time_millis
26372.377316
usercpu_time_millis
26486.017077999997
usercpu_time_millis
26425.34253000001
usercpu_time_millis
27430.425598999987
usercpu_time_millis
27222.173684999972
usercpu_time_millis
27735.078946000016
usercpu_time_millis
27162.606133999987
usercpu_time_millis
26802.43493500001
usercpu_time_millis
27556.746320000002
usercpu_time_millis_testing
33.836271000005524
usercpu_time_millis_testing
36.02096000000188
usercpu_time_millis_testing
30.03643899999986
usercpu_time_millis_testing
35.74947699999598
usercpu_time_millis_testing
32.23604199999386
usercpu_time_millis_testing
32.1788019999758
usercpu_time_millis_testing
29.631158000000823
usercpu_time_millis_testing
31.291149999987056
usercpu_time_millis_testing
35.325800999999046
usercpu_time_millis_testing
34.08829299996796
usercpu_time_millis_training
26122.493507
usercpu_time_millis_training
26336.356355999997
usercpu_time_millis_training
26455.980638999998
usercpu_time_millis_training
26389.59305300001
usercpu_time_millis_training
27398.189556999994
usercpu_time_millis_training
27189.994882999996
usercpu_time_millis_training
27705.447788000016
usercpu_time_millis_training
27131.314984
usercpu_time_millis_training
26767.10913400001
usercpu_time_millis_training
27522.658027000034