6029184
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)
4063868
bootstrap
false
6902
class_weight
null
6902
criterion
"gini"
6902
max_depth
null
6902
max_features
0.7420239137941416
6902
max_leaf_nodes
null
6902
min_impurity_split
1e-07
6902
min_samples_leaf
18
6902
min_samples_split
19
6902
min_weight_fraction_leaf
0.0
6902
n_estimators
100
6902
n_jobs
1
6902
oob_score
false
6902
random_state
19661
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
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
12981461
description
https://api.openml.org/data/download/12981461/description.xml
-1
12981462
predictions
https://api.openml.org/data/download/12981462/predictions.arff
area_under_roc_curve
0.9969088477428246 [0.996909,0.996909]
average_cost
0
f_measure
0.9829769362319232 [0.990106,0.943854]
kappa
0.9339700670939809
kb_relative_information_score
5617.298398118607
mean_absolute_error
0.03734732272314202
mean_prior_absolute_error
0.26083092213436454
number_of_instances
6598 [5581,1017]
precision
0.9830624601876626 [0.985101,0.971875]
predictive_accuracy
0.9831767202182479
prior_entropy
0.6203559250859288
recall
0.983176720218248 [0.995162,0.917404]
relative_absolute_error
0.14318594750013156
root_mean_prior_squared_error
0.36108063272361846
root_mean_squared_error
0.11945441842794394
root_relative_squared_error
0.33082477320066567
total_cost
0
area_under_roc_curve
0.9972723569315787 [0.997272,0.997272]
area_under_roc_curve
0.9939208658373744 [0.993921,0.993921]
area_under_roc_curve
0.997768641506782 [0.997769,0.997769]
area_under_roc_curve
0.9969252934148569 [0.996925,0.996925]
area_under_roc_curve
0.9982781643123199 [0.998278,0.998278]
area_under_roc_curve
0.9932532152646004 [0.993253,0.993253]
area_under_roc_curve
0.9958008292922903 [0.995801,0.995801]
area_under_roc_curve
0.9977159322510367 [0.997716,0.997716]
area_under_roc_curve
0.9988289151495795 [0.998829,0.998829]
area_under_roc_curve
0.9984030661130631 [0.998403,0.998403]
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
0.9755559156628677 [0.98574,0.919192]
f_measure
0.978335367000654 [0.987567,0.927835]
f_measure
0.9892385622432497 [0.993767,0.964467]
f_measure
0.9830891692393924 [0.990205,0.944162]
f_measure
0.9877792207792205 [0.992857,0.96]
f_measure
0.9768391608391608 [0.986667,0.923077]
f_measure
0.9755584415584415 [0.985714,0.92]
f_measure
0.9878296237494948 [0.992844,0.960396]
f_measure
0.9892202967179625 [0.993767,0.964103]
f_measure
0.9862583082658325 [0.991957,0.954774]
kappa
0.9049385161046395
kappa
0.9154403689874807
kappa
0.9582429501084598
kappa
0.9343817787418653
kappa
0.9528605099635742
kappa
0.9097769028871392
kappa
0.9057210199271479
kappa
0.9532412327311373
kappa
0.9578786855008812
kappa
0.9467331267681531
kb_relative_information_score
557.9087182967818
kb_relative_information_score
545.8383732818803
kb_relative_information_score
566.3190441989015
kb_relative_information_score
575.2102748278301
kb_relative_information_score
568.4799354437691
kb_relative_information_score
535.2318140233942
kb_relative_information_score
539.9472010168962
kb_relative_information_score
582.9052101748853
kb_relative_information_score
572.0161212252873
kb_relative_information_score
573.4417056291776
mean_absolute_error
0.03836070608984162
mean_absolute_error
0.04389644641218213
mean_absolute_error
0.03598005244318874
mean_absolute_error
0.03277458900935491
mean_absolute_error
0.03571211487590582
mean_absolute_error
0.048255164716226304
mean_absolute_error
0.04349723368411268
mean_absolute_error
0.02967998811891368
mean_absolute_error
0.03379708837616775
mean_absolute_error
0.03150561328767314
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
0.9754903413287256 [0.982238,0.938144]
precision
0.9787786004564938 [0.978873,0.978261]
precision
0.9895253419147225 [0.987611,1]
precision
0.9832789939450396 [0.984071,0.978947]
precision
0.9878198060201111 [0.989324,0.979592]
precision
0.9771214448633804 [0.978836,0.967742]
precision
0.9754943582091524 [0.982206,0.938776]
precision
0.9878149350649351 [0.991071,0.97]
precision
0.9895094471376583 [0.987611,1]
precision
0.9862522743957564 [0.989305,0.969388]
predictive_accuracy
0.9757575757575758
predictive_accuracy
0.9787878787878788
predictive_accuracy
0.9893939393939394
predictive_accuracy
0.9833333333333333
predictive_accuracy
0.9878787878787878
predictive_accuracy
0.9772727272727273
predictive_accuracy
0.9757575757575758
predictive_accuracy
0.9878787878787878
predictive_accuracy
0.9893778452200302
predictive_accuracy
0.9863429438543246
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
0.9757575757575757 [0.989267,0.90099]
recall
0.9787878787878788 [0.996416,0.882353]
recall
0.9893939393939394 [1,0.931373]
recall
0.9833333333333333 [0.996416,0.911765]
recall
0.9878787878787879 [0.996416,0.941176]
recall
0.9772727272727273 [0.994624,0.882353]
recall
0.9757575757575757 [0.989247,0.901961]
recall
0.9878787878787879 [0.994624,0.95098]
recall
0.9893778452200304 [1,0.930693]
recall
0.9863429438543247 [0.994624,0.940594]
relative_absolute_error
0.14750418921524042
relative_absolute_error
0.16811286765300137
relative_absolute_error
0.13779497633437596
relative_absolute_error
0.12551881974168438
relative_absolute_error
0.13676883967709522
relative_absolute_error
0.1848057139600578
relative_absolute_error
0.16658397859694543
relative_absolute_error
0.11366724011611293
relative_absolute_error
0.12987601997418666
relative_absolute_error
0.12107030094149217
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
0.12521002456141928
root_mean_squared_error
0.13538702875077488
root_mean_squared_error
0.11524815337862039
root_mean_squared_error
0.11505510473029207
root_mean_squared_error
0.11319441550629161
root_mean_squared_error
0.13666679972771717
root_mean_squared_error
0.13252951465813198
root_mean_squared_error
0.10487071034957744
root_mean_squared_error
0.1054010864294752
root_mean_squared_error
0.10485562735131357
root_relative_squared_error
0.3477875121685626
root_relative_squared_error
0.3745446989604587
root_relative_squared_error
0.3188310232615035
root_relative_squared_error
0.31829695918948697
root_relative_squared_error
0.31314941077445296
root_relative_squared_error
0.37808515213178545
root_relative_squared_error
0.36663946043443724
root_relative_squared_error
0.2901220966297861
root_relative_squared_error
0.29258436108380215
root_relative_squared_error
0.2910702135423718
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
59066.36028499997
usercpu_time_millis
59003.10768899726
usercpu_time_millis
57855.46004199932
usercpu_time_millis
55729.69780300264
usercpu_time_millis
58037.12925900254
usercpu_time_millis
58040.595417001896
usercpu_time_millis
58148.61345200188
usercpu_time_millis
57300.36005299917
usercpu_time_millis
59111.295866001456
usercpu_time_millis
58755.566843999986
usercpu_time_millis_testing
87.73080799801392
usercpu_time_millis_testing
88.13799799827393
usercpu_time_millis_testing
87.37553399987519
usercpu_time_millis_testing
87.3272460012231
usercpu_time_millis_testing
90.58214900142048
usercpu_time_millis_testing
88.0084070013254
usercpu_time_millis_testing
93.35133700005827
usercpu_time_millis_testing
87.2604180003691
usercpu_time_millis_testing
87.73711300091236
usercpu_time_millis_testing
87.80291299990495
usercpu_time_millis_training
58978.62947700196
usercpu_time_millis_training
58914.96969099899
usercpu_time_millis_training
57768.08450799945
usercpu_time_millis_training
55642.37055700141
usercpu_time_millis_training
57946.54711000112
usercpu_time_millis_training
57952.58701000057
usercpu_time_millis_training
58055.262115001824
usercpu_time_millis_training
57213.0996349988
usercpu_time_millis_training
59023.55875300054
usercpu_time_millis_training
58667.76393100008