6033783
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)
4068467
bootstrap
false
6902
class_weight
null
6902
criterion
"entropy"
6902
max_depth
null
6902
max_features
0.8852866623802064
6902
max_leaf_nodes
null
6902
min_impurity_split
1e-07
6902
min_samples_leaf
11
6902
min_samples_split
18
6902
min_weight_fraction_leaf
0.0
6902
n_estimators
100
6902
n_jobs
1
6902
oob_score
false
6902
random_state
14488
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
true
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
12990621
description
https://api.openml.org/data/download/12990621/description.xml
-1
12990622
predictions
https://api.openml.org/data/download/12990622/predictions.arff
area_under_roc_curve
0.9989210477957856 [0.998921,0.998921]
average_cost
0
f_measure
0.9873614274056902 [0.992579,0.958727]
kappa
0.9513074940013954
kb_relative_information_score
5974.430655879493
mean_absolute_error
0.0229884351481978
mean_prior_absolute_error
0.26083092213436454
number_of_instances
6598 [5581,1017]
precision
0.9873481900890838 [0.990542,0.969819]
predictive_accuracy
0.9874204304334647
prior_entropy
0.6203559250859288
recall
0.9874204304334647 [0.994625,0.947886]
relative_absolute_error
0.08813539039039062
root_mean_prior_squared_error
0.36108063272361846
root_mean_squared_error
0.09670339578730466
root_relative_squared_error
0.2678166232785026
total_cost
0
area_under_roc_curve
0.9986716024017428 [0.998672,0.998672]
area_under_roc_curve
0.9988931056293485 [0.998893,0.998893]
area_under_roc_curve
0.9990160938927544 [0.999016,0.999016]
area_under_roc_curve
0.9995783259540376 [0.999578,0.999578]
area_under_roc_curve
0.9990863729004147 [0.999086,0.999086]
area_under_roc_curve
0.9985944198467919 [0.998594,0.998594]
area_under_roc_curve
0.9975578044838006 [0.997558,0.997558]
area_under_roc_curve
0.9992093611638204 [0.999209,0.999209]
area_under_roc_curve
0.9995564072536286 [0.999556,0.999556]
area_under_roc_curve
0.9987934277298698 [0.998793,0.998793]
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
0.9849683849352673 [0.991023,0.951456]
f_measure
0.9877275428077567 [0.99287,0.959596]
f_measure
0.9908344155844157 [0.994643,0.97]
f_measure
0.9907956571058175 [0.994652,0.969697]
f_measure
0.9819603058811692 [0.989209,0.942308]
f_measure
0.9830153846153846 [0.990222,0.94359]
f_measure
0.9847870296868685 [0.991055,0.950495]
f_measure
0.992408974040808 [0.995524,0.975369]
f_measure
0.9939052774165877 [0.996422,0.98]
f_measure
0.9832739919866963 [0.990152,0.945274]
kappa
0.942483660130719
kappa
0.9524735364009507
kappa
0.9646453824726807
kappa
0.9643551523007131
kappa
0.9315210624610915
kappa
0.9338363954505685
kappa
0.9415515409139215
kappa
0.9708933107535986
kappa
0.9764226042467935
kappa
0.9354261128283702
kb_relative_information_score
589.2455779012139
kb_relative_information_score
590.1969875130353
kb_relative_information_score
601.5278784563792
kb_relative_information_score
616.7462916356012
kb_relative_information_score
598.132350640414
kb_relative_information_score
594.533538620856
kb_relative_information_score
575.1586516267885
kb_relative_information_score
610.9883454904956
kb_relative_information_score
608.1615708737808
kb_relative_information_score
589.7394631212159
mean_absolute_error
0.02449211476348369
mean_absolute_error
0.026720444451276894
mean_absolute_error
0.02260902624226876
mean_absolute_error
0.01750480771964389
mean_absolute_error
0.02254711040104548
mean_absolute_error
0.02567767388914484
mean_absolute_error
0.02896962202750133
mean_absolute_error
0.018307563449115716
mean_absolute_error
0.019049972927941868
mean_absolute_error
0.02400158331653754
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
0.9852197652197653 [0.994595,0.933333]
precision
0.9878969213410702 [0.987589,0.989583]
precision
0.9909011679728508 [0.991103,0.989796]
precision
0.9910058027079305 [0.989362,1]
precision
0.9822318271606467 [0.99278,0.924528]
precision
0.983427206007851 [0.982363,0.989247]
precision
0.9847597402597402 [0.989286,0.96]
precision
0.9924023708274227 [0.994633,0.980198]
precision
0.9939158000994116 [0.994643,0.989899]
precision
0.9832484574394447 [0.989267,0.95]
predictive_accuracy
0.9848484848484849
predictive_accuracy
0.9878787878787878
predictive_accuracy
0.990909090909091
predictive_accuracy
0.990909090909091
predictive_accuracy
0.9818181818181819
predictive_accuracy
0.9833333333333333
predictive_accuracy
0.9848484848484849
predictive_accuracy
0.9924242424242425
predictive_accuracy
0.9939301972685888
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
0.9848484848484849 [0.987478,0.970297]
recall
0.9878787878787879 [0.998208,0.931373]
recall
0.990909090909091 [0.998208,0.95098]
recall
0.990909090909091 [1,0.941176]
recall
0.9818181818181818 [0.985663,0.960784]
recall
0.9833333333333333 [0.998208,0.901961]
recall
0.9848484848484849 [0.992832,0.941176]
recall
0.9924242424242424 [0.996416,0.970588]
recall
0.9939301972685888 [0.998208,0.970297]
recall
0.9833080424886191 [0.991039,0.940594]
relative_absolute_error
0.0941768256792063
relative_absolute_error
0.10233289728027406
relative_absolute_error
0.0865871510586549
relative_absolute_error
0.06703921761300137
relative_absolute_error
0.08635002822817665
relative_absolute_error
0.09833933598243966
relative_absolute_error
0.11094670826281824
relative_absolute_error
0.07011357963399935
relative_absolute_error
0.07320555655444408
relative_absolute_error
0.09223368828507933
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
0.10089770673040716
root_mean_squared_error
0.10262518773550408
root_mean_squared_error
0.09449459949338403
root_mean_squared_error
0.08643309939698872
root_mean_squared_error
0.09729967909507864
root_mean_squared_error
0.10316954280248511
root_mean_squared_error
0.11416636742480266
root_mean_squared_error
0.08227729812868201
root_mean_squared_error
0.08109501471051413
root_mean_squared_error
0.09954307616538192
root_relative_squared_error
0.2802568127448004
root_relative_squared_error
0.2839099166354586
root_relative_squared_error
0.26141685541965975
root_relative_squared_error
0.23911492476474977
root_relative_squared_error
0.2691770352882265
root_relative_squared_error
0.2854158607910493
root_relative_squared_error
0.3158382905148666
root_relative_squared_error
0.22761800848451474
root_relative_squared_error
0.22511279408901871
root_relative_squared_error
0.2763230278432866
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
71042.29720100557
usercpu_time_millis
70157.6180589982
usercpu_time_millis
71047.25157399662
usercpu_time_millis
68304.67439199856
usercpu_time_millis
71611.66032600886
usercpu_time_millis
70392.99520899658
usercpu_time_millis
68249.58351499663
usercpu_time_millis
72292.55018200638
usercpu_time_millis
73024.98397300224
usercpu_time_millis
71162.68911700172
usercpu_time_millis_testing
87.1125280027627
usercpu_time_millis_testing
87.02408200042555
usercpu_time_millis_testing
86.72750199912116
usercpu_time_millis_testing
86.86245999706443
usercpu_time_millis_testing
86.56079900538316
usercpu_time_millis_testing
86.65427799860481
usercpu_time_millis_testing
86.91275599994697
usercpu_time_millis_testing
86.68484200461535
usercpu_time_millis_testing
88.40081399830524
usercpu_time_millis_testing
86.4958279998973
usercpu_time_millis_training
70955.1846730028
usercpu_time_millis_training
70070.59397699777
usercpu_time_millis_training
70960.5240719975
usercpu_time_millis_training
68217.8119320015
usercpu_time_millis_training
71525.09952700348
usercpu_time_millis_training
70306.34093099798
usercpu_time_millis_training
68162.67075899668
usercpu_time_millis_training
72205.86534000176
usercpu_time_millis_training
72936.58315900393
usercpu_time_millis_training
71076.19328900182