5968633
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)
4003366
bootstrap
true
6902
class_weight
null
6902
criterion
"entropy"
6902
max_depth
null
6902
max_features
0.33594864984655637
6902
max_leaf_nodes
null
6902
min_impurity_split
1e-07
6902
min_samples_leaf
17
6902
min_samples_split
15
6902
min_weight_fraction_leaf
0.0
6902
n_estimators
100
6902
n_jobs
1
6902
oob_score
false
6902
random_state
8896
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
"median"
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
12860641
description
https://api.openml.org/data/download/12860641/description.xml
-1
12860642
predictions
https://api.openml.org/data/download/12860642/predictions.arff
area_under_roc_curve
0.9975411729323944 [0.997541,0.997541]
average_cost
0
f_measure
0.9821526657038221 [0.989674,0.940877]
kappa
0.9305671901651307
kb_relative_information_score
5141.278114215237
mean_absolute_error
0.06138317317763977
mean_prior_absolute_error
0.26083092213436454
number_of_instances
6598 [5581,1017]
precision
0.982346324632788 [0.983372,0.97672]
predictive_accuracy
0.9824189148226735
prior_entropy
0.6203559250859288
recall
0.9824189148226735 [0.996058,0.907571]
relative_absolute_error
0.23533702474900126
root_mean_prior_squared_error
0.36108063272361846
root_mean_squared_error
0.13665314501015444
root_relative_squared_error
0.3784560362027301
total_cost
0
area_under_roc_curve
0.9985653305938823 [0.998565,0.998565]
area_under_roc_curve
0.9949750509522806 [0.994975,0.994975]
area_under_roc_curve
0.9991039426523297 [0.999104,0.999104]
area_under_roc_curve
0.9977862112586969 [0.997786,0.997786]
area_under_roc_curve
0.9988755358774334 [0.998876,0.998876]
area_under_roc_curve
0.9971361304378382 [0.997136,0.997136]
area_under_roc_curve
0.9961170848267622 [0.996117,0.996117]
area_under_roc_curve
0.9973293977089043 [0.997329,0.997329]
area_under_roc_curve
0.9981723978849497 [0.998172,0.998172]
area_under_roc_curve
0.9969303381951097 [0.99693,0.99693]
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
0.9830112806555376 [0.99024,0.943005]
f_measure
0.9767359728097345 [0.98669,0.92228]
f_measure
0.9892385622432497 [0.993767,0.964467]
f_measure
0.9845931902363015 [0.991103,0.94898]
f_measure
0.9831611222929993 [0.990187,0.944724]
f_measure
0.9768391608391608 [0.986667,0.923077]
f_measure
0.9740847311092601 [0.984808,0.915423]
f_measure
0.9815913142116351 [0.989305,0.939394]
f_measure
0.9892202967179625 [0.993767,0.964103]
f_measure
0.9830604662710839 [0.990205,0.94359]
kappa
0.933269605500202
kappa
0.9090207322452581
kappa
0.9582429501084598
kappa
0.9401001960357221
kappa
0.934918244406196
kappa
0.9097769028871392
kappa
0.9002347417840375
kappa
0.9287103046014258
kappa
0.9578786855008812
kappa
0.9338093629299562
kb_relative_information_score
518.7738455820174
kb_relative_information_score
491.0837543633988
kb_relative_information_score
525.1584602099102
kb_relative_information_score
530.431053249885
kb_relative_information_score
531.4007286403626
kb_relative_information_score
496.5018740292669
kb_relative_information_score
493.1203228675432
kb_relative_information_score
523.1512448381766
kb_relative_information_score
518.3056677383319
kb_relative_information_score
513.3511626963639
mean_absolute_error
0.06045267888067632
mean_absolute_error
0.06814836788434002
mean_absolute_error
0.05867414461593738
mean_absolute_error
0.05626589808634337
mean_absolute_error
0.05742660075371966
mean_absolute_error
0.06802348865061329
mean_absolute_error
0.06730358963996887
mean_absolute_error
0.05870215012879815
mean_absolute_error
0.058680454382161316
mean_absolute_error
0.06014839284607293
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
0.9834251888140438 [0.982394,0.98913]
precision
0.9772872119093561 [0.977153,0.978022]
precision
0.9895253419147225 [0.987611,1]
precision
0.9849122759054343 [0.984099,0.989362]
precision
0.9832066799728991 [0.98579,0.969072]
precision
0.9771214448633804 [0.978836,0.967742]
precision
0.9740020526116782 [0.982175,0.929293]
precision
0.9816791586073502 [0.984043,0.96875]
precision
0.9895094471376583 [0.987611,1]
precision
0.9832512416609499 [0.984071,0.978723]
predictive_accuracy
0.9833333333333333
predictive_accuracy
0.9772727272727273
predictive_accuracy
0.9893939393939394
predictive_accuracy
0.9848484848484849
predictive_accuracy
0.9833333333333333
predictive_accuracy
0.9772727272727273
predictive_accuracy
0.9742424242424242
predictive_accuracy
0.9818181818181819
predictive_accuracy
0.9893778452200302
predictive_accuracy
0.9833080424886191
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
0.9833333333333333 [0.998211,0.90099]
recall
0.9772727272727273 [0.996416,0.872549]
recall
0.9893939393939394 [1,0.931373]
recall
0.9848484848484849 [0.998208,0.911765]
recall
0.9833333333333333 [0.994624,0.921569]
recall
0.9772727272727273 [0.994624,0.882353]
recall
0.9742424242424242 [0.987455,0.901961]
recall
0.9818181818181818 [0.994624,0.911765]
recall
0.9893778452200304 [1,0.930693]
recall
0.9833080424886191 [0.996416,0.910891]
relative_absolute_error
0.23245201387324788
relative_absolute_error
0.26099191363537505
relative_absolute_error
0.2247079095162183
relative_absolute_error
0.21548490257155858
relative_absolute_error
0.21993011556381034
relative_absolute_error
0.26051365610411653
relative_absolute_error
0.25775661545523143
relative_absolute_error
0.22481516391747225
relative_absolute_error
0.2254982376175949
relative_absolute_error
0.23113925625026213
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
0.13407833777083922
root_mean_squared_error
0.15350432246677656
root_mean_squared_error
0.1296091851651953
root_mean_squared_error
0.13117881085083233
root_mean_squared_error
0.127230654938413
root_mean_squared_error
0.14332371511552464
root_mean_squared_error
0.14675795149313914
root_mean_squared_error
0.13416982247800088
root_mean_squared_error
0.128721134436574
root_mean_squared_error
0.13547047495260167
root_relative_squared_error
0.3724204327277533
root_relative_squared_error
0.42466572150929893
root_relative_squared_error
0.3585604447348549
root_relative_squared_error
0.3629027734300931
root_relative_squared_error
0.3519803026342519
root_relative_squared_error
0.3965013356682553
root_relative_squared_error
0.4060020614178432
root_relative_squared_error
0.37117732941837245
root_relative_squared_error
0.357318810962229
root_relative_squared_error
0.37605440040931026
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
10190.776302000075
usercpu_time_millis
9787.559929999928
usercpu_time_millis
10336.232848999998
usercpu_time_millis
10065.595916999997
usercpu_time_millis
10119.159695000006
usercpu_time_millis
9990.69160600004
usercpu_time_millis
10023.923147999994
usercpu_time_millis
10171.512079999957
usercpu_time_millis
9713.733941999977
usercpu_time_millis
10283.357506000015
usercpu_time_millis_testing
28.04157800005669
usercpu_time_millis_testing
28.441573000009157
usercpu_time_millis_testing
28.267486000004283
usercpu_time_millis_testing
29.482189999953334
usercpu_time_millis_testing
28.000769999948716
usercpu_time_millis_testing
30.824843000004876
usercpu_time_millis_testing
32.91776499997923
usercpu_time_millis_testing
28.302769999982047
usercpu_time_millis_testing
28.155652999998892
usercpu_time_millis_testing
28.42350200000965
usercpu_time_millis_training
10162.734724000018
usercpu_time_millis_training
9759.11835699992
usercpu_time_millis_training
10307.965362999994
usercpu_time_millis_training
10036.113727000044
usercpu_time_millis_training
10091.158925000058
usercpu_time_millis_training
9959.866763000036
usercpu_time_millis_training
9991.005383000014
usercpu_time_millis_training
10143.209309999975
usercpu_time_millis_training
9685.578288999977
usercpu_time_millis_training
10254.934004000006