10444783
8323
Heinrich Peters
125920
Supervised Classification
17651
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,columntransformer=sklearn.compose._column_transformer.ColumnTransformer(num=sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler),cat=sklearn.pipeline.Pipeline(onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier)(1)
8263530
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"most_frequent"
12737
verbose
0
12737
copy
true
13294
with_mean
true
13294
with_std
true
13294
categorical_features
null
16348
categories
null
16348
drop
null
16348
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
16348
handle_unknown
"ignore"
16348
n_values
null
16348
sparse
true
16348
n_jobs
null
16375
remainder
"drop"
16375
sparse_threshold
0.3
16375
transformer_weights
null
16375
transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "num", "step_name": "num", "argument_1": [false, false, true, false, false, false, false, false, false, false, false, false]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "cat", "step_name": "cat", "argument_1": [true, true, false, true, true, true, true, true, true, true, true, true]}}]
16375
verbose
false
16375
memory
null
16376
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}]
16376
verbose
false
16376
memory
null
16377
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}]
16377
verbose
false
16377
bootstrap
true
17650
class_weight
null
17650
criterion
"entropy"
17650
max_depth
null
17650
max_features
0.5778510197529033
17650
max_leaf_nodes
null
17650
min_impurity_decrease
0
17650
min_impurity_split
null
17650
min_samples_leaf
1
17650
min_samples_split
6
17650
min_weight_fraction_leaf
0.0
17650
n_estimators
300
17650
n_jobs
1
17650
oob_score
false
17650
random_state
1
17650
verbose
0
17650
warm_start
false
17650
memory
null
17651
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "randomforestclassifier", "step_name": "randomforestclassifier"}}]
17651
verbose
false
17651
openml-python
Sklearn_0.21.2.
23381
dresses-sales
https://www.openml.org/data/download/1910507/phpcFPMhq
-1
21813995
description
https://api.openml.org/data/download/21813995/description.xml
-1
21813996
predictions
https://api.openml.org/data/download/21813996/predictions.arff
area_under_roc_curve
0.6109852216748769 [0.610985,0.610985]
average_cost
0
f_measure
0.6069288353060163 [0.687196,0.496084]
kappa
0.1879838438236284
kb_relative_information_score
0.08379356520255074
mean_absolute_error
0.4498783570133572
mean_prior_absolute_error
0.4872509960159361
weighted_recall
0.614 [0.731034,0.452381]
number_of_instances
500 [290,210]
precision
0.6066603029820933 [0.648318,0.549133]
predictive_accuracy
0.614
prior_entropy
0.9814541958069474
relative_absolute_error
0.9232989992669886
root_mean_prior_squared_error
0.4935586100816085
root_mean_squared_error
0.4923539414366272
root_relative_squared_error
0.9975592186614227
total_cost
0
unweighted_recall
0.5917077175697866 [0.731034,0.452381]
area_under_roc_curve
0.555008210180624 [0.555008,0.555008]
area_under_roc_curve
0.6765188834154351 [0.676519,0.676519]
area_under_roc_curve
0.5862068965517241 [0.586207,0.586207]
area_under_roc_curve
0.4433497536945813 [0.44335,0.44335]
area_under_roc_curve
0.5796387520525451 [0.579639,0.579639]
area_under_roc_curve
0.6420361247947455 [0.642036,0.642036]
area_under_roc_curve
0.6617405582922824 [0.661741,0.661741]
area_under_roc_curve
0.735632183908046 [0.735632,0.735632]
area_under_roc_curve
0.541871921182266 [0.541872,0.541872]
area_under_roc_curve
0.7060755336617406 [0.706076,0.706076]
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
0.6185861926415874 [0.677966,0.536585]
f_measure
0.6147288776796974 [0.688525,0.512821]
f_measure
0.6024615384615384 [0.707692,0.457143]
f_measure
0.5187692307692308 [0.646154,0.342857]
f_measure
0.5854166666666667 [0.6875,0.444444]
f_measure
0.5937042062415196 [0.716418,0.424242]
f_measure
0.6552837326607819 [0.721311,0.564103]
f_measure
0.68 [0.724138,0.619048]
f_measure
0.541313749490004 [0.596491,0.465116]
f_measure
0.637 [0.7,0.55]
kappa
0.21487603305785122
kappa
0.20435510887772199
kappa
0.18244406196213422
kappa
0.010327022375215203
kappa
0.1452991452991452
kappa
0.1710296684118674
kappa
0.2881072026800671
kappa
0.3431855500821019
kappa
0.061990212071778114
kappa
0.25124792013311154
kb_relative_information_score
0.02946881799217627
kb_relative_information_score
0.13178504437675134
kb_relative_information_score
0.061875942521434614
kb_relative_information_score
-0.016286859718360188
kb_relative_information_score
0.06628684889099684
kb_relative_information_score
0.11112513134423274
kb_relative_information_score
0.12412344630349645
kb_relative_information_score
0.196446449374954
kb_relative_information_score
-0.0016058454505512825
kb_relative_information_score
0.1347166763903747
mean_absolute_error
0.4754876355126354
mean_absolute_error
0.4277988948088949
mean_absolute_error
0.4600900732600733
mean_absolute_error
0.492060636955637
mean_absolute_error
0.456597658082658
mean_absolute_error
0.43740111721611724
mean_absolute_error
0.4323655344655344
mean_absolute_error
0.4011230007030009
mean_absolute_error
0.4859906515706517
mean_absolute_error
0.42986836755836755
mean_prior_absolute_error
0.48725099601593624
mean_prior_absolute_error
0.48725099601593624
mean_prior_absolute_error
0.48725099601593624
mean_prior_absolute_error
0.48725099601593624
mean_prior_absolute_error
0.48725099601593624
mean_prior_absolute_error
0.48725099601593624
mean_prior_absolute_error
0.48725099601593624
mean_prior_absolute_error
0.48725099601593624
mean_prior_absolute_error
0.48725099601593624
mean_prior_absolute_error
0.48725099601593624
number_of_instances
50 [29,21]
number_of_instances
50 [29,21]
number_of_instances
50 [29,21]
number_of_instances
50 [29,21]
number_of_instances
50 [29,21]
number_of_instances
50 [29,21]
number_of_instances
50 [29,21]
number_of_instances
50 [29,21]
number_of_instances
50 [29,21]
number_of_instances
50 [29,21]
precision
0.6176666666666667 [0.666667,0.55]
precision
0.6139583333333334 [0.65625,0.555556]
precision
0.6105555555555555 [0.638889,0.571429]
precision
0.5183333333333333 [0.583333,0.428571]
precision
0.5885714285714285 [0.628571,0.533333]
precision
0.6113157894736841 [0.631579,0.583333]
precision
0.6554166666666668 [0.6875,0.611111]
precision
0.68 [0.724138,0.619048]
precision
0.543051948051948 [0.607143,0.454545]
precision
0.6360611205432938 [0.677419,0.578947]
predictive_accuracy
0.62
predictive_accuracy
0.62
predictive_accuracy
0.62
predictive_accuracy
0.54
predictive_accuracy
0.6
predictive_accuracy
0.62
predictive_accuracy
0.66
predictive_accuracy
0.68
predictive_accuracy
0.54
predictive_accuracy
0.64
prior_entropy
0.9814541958069504
prior_entropy
0.9814541958069504
prior_entropy
0.9814541958069504
prior_entropy
0.9814541958069504
prior_entropy
0.9814541958069504
prior_entropy
0.9814541958069504
prior_entropy
0.9814541958069504
prior_entropy
0.9814541958069504
prior_entropy
0.9814541958069504
prior_entropy
0.9814541958069504
relative_absolute_error
0.9758576983946974
relative_absolute_error
0.8779846491989585
relative_absolute_error
0.9442568142949992
relative_absolute_error
1.009870972002166
relative_absolute_error
0.937089224683133
relative_absolute_error
0.8976915815310338
relative_absolute_error
0.8873569022963952
relative_absolute_error
0.82323690250575
relative_absolute_error
0.9974133568620897
relative_absolute_error
0.8822318909006561
root_mean_prior_squared_error
0.49355861008160823
root_mean_prior_squared_error
0.49355861008160823
root_mean_prior_squared_error
0.49355861008160823
root_mean_prior_squared_error
0.49355861008160823
root_mean_prior_squared_error
0.49355861008160823
root_mean_prior_squared_error
0.49355861008160823
root_mean_prior_squared_error
0.49355861008160823
root_mean_prior_squared_error
0.49355861008160823
root_mean_prior_squared_error
0.49355861008160823
root_mean_prior_squared_error
0.49355861008160823
root_mean_squared_error
0.5180846378929236
root_mean_squared_error
0.4684524250126506
root_mean_squared_error
0.497693094682811
root_mean_squared_error
0.5358935912350409
root_mean_squared_error
0.5020559160169841
root_mean_squared_error
0.49226587321698617
root_mean_squared_error
0.46954243399865336
root_mean_squared_error
0.45172551388782606
root_mean_squared_error
0.51217615982418
root_mean_squared_error
0.4691993432248388
root_relative_squared_error
1.0496922296771605
root_relative_squared_error
0.9491323126450851
root_relative_squared_error
1.008376886790647
root_relative_squared_error
1.0857749825222027
root_relative_squared_error
1.0172164070523881
root_relative_squared_error
0.9973807834809967
root_relative_squared_error
0.9513407818394984
root_relative_squared_error
0.9152418875098437
root_relative_squared_error
1.037721051486658
root_relative_squared_error
0.9506456449969707
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
unweighted_recall
0.6067323481116584 [0.689655,0.52381]
unweighted_recall
0.6001642036124795 [0.724138,0.47619]
unweighted_recall
0.5870279146141215 [0.793103,0.380952]
unweighted_recall
0.5049261083743842 [0.724138,0.285714]
unweighted_recall
0.5697865353037767 [0.758621,0.380952]
unweighted_recall
0.5804597701149425 [0.827586,0.333333]
unweighted_recall
0.6412151067323482 [0.758621,0.52381]
unweighted_recall
0.6715927750410509 [0.724138,0.619048]
unweighted_recall
0.5311986863711001 [0.586207,0.47619]
unweighted_recall
0.6239737274220033 [0.724138,0.52381]
usercpu_time_millis
1048.129560000234
usercpu_time_millis
1592.2796500017284
usercpu_time_millis
1507.4223299998266
usercpu_time_millis
1019.68750299784
usercpu_time_millis
1608.963221002341
usercpu_time_millis
1623.1541839988495
usercpu_time_millis
1228.144468001119
usercpu_time_millis
1500.3639140049927
usercpu_time_millis
1471.2782540009357
usercpu_time_millis
1323.837800999172
usercpu_time_millis_testing
31.432056999619817
usercpu_time_millis_testing
50.4755900001328
usercpu_time_millis_testing
50.73902300136979
usercpu_time_millis_testing
46.71396900084801
usercpu_time_millis_testing
52.02829799964093
usercpu_time_millis_testing
53.31185799877858
usercpu_time_millis_testing
43.41149900210439
usercpu_time_millis_testing
52.85402000299655
usercpu_time_millis_testing
29.78497400181368
usercpu_time_millis_testing
50.46469700027956
usercpu_time_millis_training
1016.6975030006142
usercpu_time_millis_training
1541.8040600015956
usercpu_time_millis_training
1456.6833069984568
usercpu_time_millis_training
972.973533996992
usercpu_time_millis_training
1556.9349230027
usercpu_time_millis_training
1569.842326000071
usercpu_time_millis_training
1184.7329689990147
usercpu_time_millis_training
1447.5098940019961
usercpu_time_millis_training
1441.493279999122
usercpu_time_millis_training
1273.3731039988925
wall_clock_time_millis
1049.7956275939941
wall_clock_time_millis
1592.6032066345215
wall_clock_time_millis
1507.4338912963867
wall_clock_time_millis
1019.7179317474365
wall_clock_time_millis
1609.0009212493896
wall_clock_time_millis
1623.1932640075684
wall_clock_time_millis
1228.1692028045654
wall_clock_time_millis
1501.3427734375
wall_clock_time_millis
1471.6086387634277
wall_clock_time_millis
1323.9221572875977
wall_clock_time_millis_testing
31.437397003173828
wall_clock_time_millis_testing
50.484418869018555
wall_clock_time_millis_testing
50.743818283081055
wall_clock_time_millis_testing
46.720027923583984
wall_clock_time_millis_testing
52.034616470336914
wall_clock_time_millis_testing
53.31730842590332
wall_clock_time_millis_testing
43.41864585876465
wall_clock_time_millis_testing
52.861928939819336
wall_clock_time_millis_testing
29.789209365844727
wall_clock_time_millis_testing
50.469398498535156
wall_clock_time_millis_training
1018.3582305908203
wall_clock_time_millis_training
1542.118787765503
wall_clock_time_millis_training
1456.6900730133057
wall_clock_time_millis_training
972.9979038238525
wall_clock_time_millis_training
1556.9663047790527
wall_clock_time_millis_training
1569.875955581665
wall_clock_time_millis_training
1184.7505569458008
wall_clock_time_millis_training
1448.4808444976807
wall_clock_time_millis_training
1441.819429397583
wall_clock_time_millis_training
1273.4527587890625
weighted_recall
0.62 [0.689655,0.52381]
weighted_recall
0.62 [0.724138,0.47619]
weighted_recall
0.62 [0.793103,0.380952]
weighted_recall
0.54 [0.724138,0.285714]
weighted_recall
0.6 [0.758621,0.380952]
weighted_recall
0.62 [0.827586,0.333333]
weighted_recall
0.66 [0.758621,0.52381]
weighted_recall
0.68 [0.724138,0.619048]
weighted_recall
0.54 [0.586207,0.47619]
weighted_recall
0.64 [0.724138,0.52381]