5996223
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)
4030956
bootstrap
false
6902
class_weight
null
6902
criterion
"gini"
6902
max_depth
null
6902
max_features
0.3735405263873568
6902
max_leaf_nodes
null
6902
min_impurity_split
1e-07
6902
min_samples_leaf
20
6902
min_samples_split
3
6902
min_weight_fraction_leaf
0.0
6902
n_estimators
100
6902
n_jobs
1
6902
oob_score
false
6902
random_state
2255
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
12915582
description
https://api.openml.org/data/download/12915582/description.xml
-1
12915583
predictions
https://api.openml.org/data/download/12915583/predictions.arff
area_under_roc_curve
0.9981949925976198 [0.998195,0.998195]
average_cost
0
f_measure
0.9866689552493089 [0.992243,0.956083]
kappa
0.9483318514667417
kb_relative_information_score
5535.679857676467
mean_absolute_error
0.04514505234588602
mean_prior_absolute_error
0.26083092213436454
number_of_instances
6598 [5581,1017]
precision
0.9867723332296949 [0.987575,0.982365]
predictive_accuracy
0.9868141861170052
prior_entropy
0.6203559250859288
recall
0.9868141861170051 [0.996954,0.93117]
relative_absolute_error
0.17308167289547816
root_mean_prior_squared_error
0.36108063272361846
root_mean_squared_error
0.1160482679593291
root_relative_squared_error
0.32139156033925476
total_cost
0
area_under_roc_curve
0.998281939106254 [0.998282,0.998282]
area_under_roc_curve
0.9963982008574038 [0.996398,0.996398]
area_under_roc_curve
0.9987349778621127 [0.998735,0.998735]
area_under_roc_curve
0.9982430248084897 [0.998243,0.998243]
area_under_roc_curve
0.9989809543889241 [0.998981,0.998981]
area_under_roc_curve
0.9965387588727247 [0.996539,0.996539]
area_under_roc_curve
0.9973118279569892 [0.997312,0.997312]
area_under_roc_curve
0.9984011525757257 [0.998401,0.998401]
area_under_roc_curve
0.9997161006423222 [0.999716,0.999716]
area_under_roc_curve
0.9991660456368218 [0.999166,0.999166]
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
0.9845899066843565 [0.991119,0.948454]
f_measure
0.9815118282835618 [0.989324,0.938776]
f_measure
0.9892385622432497 [0.993767,0.964467]
f_measure
0.9892843505500906 [0.993756,0.964824]
f_measure
0.9832312966001094 [0.99017,0.945274]
f_measure
0.9831611222929993 [0.990187,0.944724]
f_measure
0.9815913142116351 [0.989305,0.939394]
f_measure
0.9908722178121211 [0.994633,0.970297]
f_measure
0.9923333823696536 [0.99554,0.974619]
f_measure
0.9908195875950048 [0.994643,0.969697]
kappa
0.9395903124828382
kappa
0.9281202352428665
kappa
0.9582429501084598
kappa
0.9585843373493975
kappa
0.9354460093896712
kappa
0.934918244406196
kappa
0.9287103046014258
kappa
0.964930924548353
kappa
0.9701623638289973
kappa
0.9643423995382728
kb_relative_information_score
546.7950064629143
kb_relative_information_score
539.2414605076654
kb_relative_information_score
556.081192639565
kb_relative_information_score
567.4086071389403
kb_relative_information_score
563.20405968269
kb_relative_information_score
535.701891322128
kb_relative_information_score
531.3766349362367
kb_relative_information_score
564.162590776849
kb_relative_information_score
568.9441489512318
kb_relative_information_score
562.7642652583477
mean_absolute_error
0.04652915989602713
mean_absolute_error
0.05110829434734734
mean_absolute_error
0.04389634092021309
mean_absolute_error
0.041745148035796605
mean_absolute_error
0.04161922731426596
mean_absolute_error
0.05176411436254699
mean_absolute_error
0.051933052103704073
mean_absolute_error
0.040746998467476925
mean_absolute_error
0.04084202727917338
mean_absolute_error
0.041253745077256765
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
0.9849105494266783 [0.984127,0.989247]
precision
0.9817744393791307 [0.982332,0.978723]
precision
0.9895253419147225 [0.987611,1]
precision
0.9893965751155693 [0.989343,0.989691]
precision
0.9832063955058606 [0.987522,0.959596]
precision
0.9832066799728991 [0.98579,0.969072]
precision
0.9816791586073502 [0.984043,0.96875]
precision
0.9908701298701299 [0.992857,0.98]
precision
0.9924801289428786 [0.991119,1]
precision
0.9908867224206526 [0.991103,0.989691]
predictive_accuracy
0.9848484848484849
predictive_accuracy
0.9818181818181819
predictive_accuracy
0.9893939393939394
predictive_accuracy
0.9893939393939394
predictive_accuracy
0.9833333333333333
predictive_accuracy
0.9833333333333333
predictive_accuracy
0.9818181818181819
predictive_accuracy
0.990909090909091
predictive_accuracy
0.992412746585736
predictive_accuracy
0.9908952959028832
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 [0.998211,0.910891]
recall
0.9818181818181818 [0.996416,0.901961]
recall
0.9893939393939394 [1,0.931373]
recall
0.9893939393939394 [0.998208,0.941176]
recall
0.9833333333333333 [0.992832,0.931373]
recall
0.9833333333333333 [0.994624,0.921569]
recall
0.9818181818181818 [0.994624,0.911765]
recall
0.990909090909091 [0.996416,0.960784]
recall
0.992412746585736 [1,0.950495]
recall
0.9908952959028832 [0.998208,0.950495]
relative_absolute_error
0.17891344307521057
relative_absolute_error
0.19573251654379484
relative_absolute_error
0.1681124636440467
relative_absolute_error
0.15987391054391187
relative_absolute_error
0.15939166436401206
relative_absolute_error
0.19824415000004772
relative_absolute_error
0.19889114105381228
relative_absolute_error
0.1560512369565971
relative_absolute_error
0.15694842974806764
relative_absolute_error
0.15853058583123225
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
0.1251874504124747
root_mean_squared_error
0.12880927999776304
root_mean_squared_error
0.11346700524974725
root_mean_squared_error
0.10961512341259627
root_mean_squared_error
0.1095526518132818
root_mean_squared_error
0.12897724254595752
root_mean_squared_error
0.12949960412158087
root_mean_squared_error
0.10803492522348498
root_mean_squared_error
0.09940903184985458
root_mean_squared_error
0.10270064992174345
root_relative_squared_error
0.3477248094646197
root_relative_squared_error
0.3563475278631482
root_relative_squared_error
0.3139035232204115
root_relative_squared_error
0.3032473921535074
root_relative_squared_error
0.30307456609642697
root_relative_squared_error
0.3568121918906448
root_relative_squared_error
0.35825729162357794
root_relative_squared_error
0.2988758149019816
root_relative_squared_error
0.2759509323389226
root_relative_squared_error
0.2850881813286653
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
22757.53225399967
usercpu_time_millis
22408.649818000413
usercpu_time_millis
22446.58403700032
usercpu_time_millis
21873.372789000314
usercpu_time_millis
22191.177869000057
usercpu_time_millis
22223.923474000912
usercpu_time_millis
22318.661138999232
usercpu_time_millis
21843.50162100054
usercpu_time_millis
22512.980694999897
usercpu_time_millis
22984.79731700081
usercpu_time_millis_testing
32.679928000106884
usercpu_time_millis_testing
36.83731700039061
usercpu_time_millis_testing
33.82633999990503
usercpu_time_millis_testing
32.67481500006397
usercpu_time_millis_testing
34.28385300048831
usercpu_time_millis_testing
33.23669700057508
usercpu_time_millis_testing
32.69675100000313
usercpu_time_millis_testing
34.862918000726495
usercpu_time_millis_testing
32.67660399978922
usercpu_time_millis_testing
32.849265000550076
usercpu_time_millis_training
22724.852325999564
usercpu_time_millis_training
22371.812501000022
usercpu_time_millis_training
22412.757697000416
usercpu_time_millis_training
21840.69797400025
usercpu_time_millis_training
22156.89401599957
usercpu_time_millis_training
22190.686777000337
usercpu_time_millis_training
22285.96438799923
usercpu_time_millis_training
21808.638702999815
usercpu_time_millis_training
22480.304091000107
usercpu_time_millis_training
22951.94805200026