10444828
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)
8263559
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
false
17650
class_weight
null
17650
criterion
"entropy"
17650
max_depth
null
17650
max_features
0.3017811121569316
17650
max_leaf_nodes
null
17650
min_impurity_decrease
0
17650
min_impurity_split
null
17650
min_samples_leaf
2
17650
min_samples_split
11
17650
min_weight_fraction_leaf
0.0
17650
n_estimators
500
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
21814085
description
https://api.openml.org/data/download/21814085/description.xml
-1
21814086
predictions
https://api.openml.org/data/download/21814086/predictions.arff
area_under_roc_curve
0.5958784893267652 [0.595878,0.595878]
average_cost
0
f_measure
0.5760985445365052 [0.66343,0.455497]
kappa
0.12428427079824853
kb_relative_information_score
0.07847029915274856
mean_absolute_error
0.4502785925901242
mean_prior_absolute_error
0.4872509960159361
weighted_recall
0.584 [0.706897,0.414286]
number_of_instances
500 [290,210]
precision
0.5749418604651163 [0.625,0.505814]
predictive_accuracy
0.584
prior_entropy
0.9814541958069474
relative_absolute_error
0.9241204148824304
root_mean_prior_squared_error
0.4935586100816085
root_mean_squared_error
0.5013295345015805
root_relative_squared_error
1.0157446841393105
total_cost
0
unweighted_recall
0.5605911330049261 [0.706897,0.414286]
area_under_roc_curve
0.5090311986863711 [0.509031,0.509031]
area_under_roc_curve
0.6945812807881774 [0.694581,0.694581]
area_under_roc_curve
0.5911330049261084 [0.591133,0.591133]
area_under_roc_curve
0.43842364532019706 [0.438424,0.438424]
area_under_roc_curve
0.5336617405582923 [0.533662,0.533662]
area_under_roc_curve
0.5977011494252874 [0.597701,0.597701]
area_under_roc_curve
0.6338259441707718 [0.633826,0.633826]
area_under_roc_curve
0.7257799671592775 [0.72578,0.72578]
area_under_roc_curve
0.5517241379310345 [0.551724,0.551724]
area_under_roc_curve
0.6518883415435139 [0.651888,0.651888]
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
0.52 [0.586207,0.428571]
f_measure
0.6024615384615384 [0.707692,0.457143]
f_measure
0.6094036894036894 [0.698413,0.486486]
f_measure
0.47692307692307695 [0.615385,0.285714]
f_measure
0.5439583333333333 [0.65625,0.388889]
f_measure
0.5669117647058823 [0.705882,0.375]
f_measure
0.5966666666666667 [0.666667,0.5]
f_measure
0.6609710322317421 [0.701754,0.604651]
f_measure
0.52 [0.586207,0.428571]
f_measure
0.637 [0.7,0.55]
kappa
0.014778325123152677
kappa
0.18244406196213422
kappa
0.1935483870967741
kappa
-0.07573149741824443
kappa
0.05982905982905989
kappa
0.12126537785588756
kappa
0.16805324459234605
kappa
0.3066884176182708
kappa
0.014778325123152677
kappa
0.25124792013311154
kb_relative_information_score
-0.003111095118382903
kb_relative_information_score
0.1387981606520851
kb_relative_information_score
0.08279438917184397
kb_relative_information_score
-0.03535878489784855
kb_relative_information_score
0.04455101506184808
kb_relative_information_score
0.11302518042445552
kb_relative_information_score
0.1130605668408457
kb_relative_information_score
0.18863247352475235
kb_relative_information_score
0.024485853388151867
kb_relative_information_score
0.11782523247973203
mean_absolute_error
0.4865700177600177
mean_absolute_error
0.4232363747429042
mean_absolute_error
0.44994432900432896
mean_absolute_error
0.49879987585616986
mean_absolute_error
0.4647463185703186
mean_absolute_error
0.4356839968887322
mean_absolute_error
0.43434773509359575
mean_absolute_error
0.40163415517815515
mean_absolute_error
0.4721287577276524
mean_absolute_error
0.43569436507936515
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
0.52 [0.586207,0.428571]
precision
0.6105555555555555 [0.638889,0.571429]
precision
0.6115441176470588 [0.647059,0.5625]
precision
0.4722222222222222 [0.555556,0.357143]
precision
0.544 [0.6,0.466667]
precision
0.586013986013986 [0.615385,0.545455]
precision
0.5952461799660442 [0.645161,0.526316]
precision
0.6624675324675325 [0.714286,0.590909]
precision
0.52 [0.586207,0.428571]
precision
0.6360611205432938 [0.677419,0.578947]
predictive_accuracy
0.52
predictive_accuracy
0.62
predictive_accuracy
0.62
predictive_accuracy
0.5
predictive_accuracy
0.56
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.66
predictive_accuracy
0.52
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
0.9986024076677387
relative_absolute_error
0.8686208508623792
relative_absolute_error
0.9234343955853359
relative_absolute_error
1.023702116434167
relative_absolute_error
0.9538129677935402
relative_absolute_error
0.8941674833938822
relative_absolute_error
0.8914250327758997
relative_absolute_error
0.8242859603411035
relative_absolute_error
0.9689641716242089
relative_absolute_error
0.8941887623460397
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
0.5372291849726053
root_mean_squared_error
0.4636023037211906
root_mean_squared_error
0.4994424958013623
root_mean_squared_error
0.5463572898571857
root_mean_squared_error
0.5182019263280344
root_mean_squared_error
0.5065184434630005
root_mean_squared_error
0.4797331842086065
root_mean_squared_error
0.45974546729544863
root_mean_squared_error
0.509788820458073
root_mean_squared_error
0.4851113268410313
root_relative_squared_error
1.0884810314296336
root_relative_squared_error
0.9393054730511855
root_relative_squared_error
1.011921351587365
root_relative_squared_error
1.1069755013834068
root_relative_squared_error
1.04992986798944
root_relative_squared_error
1.026257942049171
root_relative_squared_error
0.971988279424979
root_relative_squared_error
0.9314911297351925
root_relative_squared_error
1.0328840588431456
root_relative_squared_error
0.9828849440207715
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
0.5073891625615763 [0.586207,0.428571]
unweighted_recall
0.5870279146141215 [0.793103,0.380952]
unweighted_recall
0.5935960591133005 [0.758621,0.428571]
unweighted_recall
0.46387520525451564 [0.689655,0.238095]
unweighted_recall
0.5287356321839081 [0.724138,0.333333]
unweighted_recall
0.5566502463054187 [0.827586,0.285714]
unweighted_recall
0.5829228243021347 [0.689655,0.47619]
unweighted_recall
0.6543513957307061 [0.689655,0.619048]
unweighted_recall
0.5073891625615763 [0.586207,0.428571]
unweighted_recall
0.6239737274220033 [0.724138,0.52381]
usercpu_time_millis
1244.2647979987669
usercpu_time_millis
1233.5823770008574
usercpu_time_millis
1203.5205460015277
usercpu_time_millis
1205.6887370017648
usercpu_time_millis
1236.0368330009806
usercpu_time_millis
1233.2710760019836
usercpu_time_millis
1209.2884220000997
usercpu_time_millis
1300.7121369992092
usercpu_time_millis
1200.3121960005956
usercpu_time_millis
1220.5714559968328
usercpu_time_millis_testing
47.6032619990292
usercpu_time_millis_testing
47.402975000295555
usercpu_time_millis_testing
51.09652600003756
usercpu_time_millis_testing
47.633959002268966
usercpu_time_millis_testing
47.65485800089664
usercpu_time_millis_testing
49.07364999962738
usercpu_time_millis_testing
48.863010000786744
usercpu_time_millis_testing
48.65914100082591
usercpu_time_millis_testing
49.12655400039512
usercpu_time_millis_testing
48.247144997731084
usercpu_time_millis_training
1196.6615359997377
usercpu_time_millis_training
1186.1794020005618
usercpu_time_millis_training
1152.4240200014901
usercpu_time_millis_training
1158.0547779994959
usercpu_time_millis_training
1188.381975000084
usercpu_time_millis_training
1184.1974260023562
usercpu_time_millis_training
1160.425411999313
usercpu_time_millis_training
1252.0529959983833
usercpu_time_millis_training
1151.1856420002005
usercpu_time_millis_training
1172.3243109991017
wall_clock_time_millis
1244.274377822876
wall_clock_time_millis
1234.1597080230713
wall_clock_time_millis
1209.8009586334229
wall_clock_time_millis
1206.0344219207764
wall_clock_time_millis
1236.0386848449707
wall_clock_time_millis
1233.5963249206543
wall_clock_time_millis
1209.2983722686768
wall_clock_time_millis
1300.715446472168
wall_clock_time_millis
1200.329065322876
wall_clock_time_millis
1220.5815315246582
wall_clock_time_millis_testing
47.6069450378418
wall_clock_time_millis_testing
47.406911849975586
wall_clock_time_millis_testing
51.24044418334961
wall_clock_time_millis_testing
47.93286323547363
wall_clock_time_millis_testing
47.65939712524414
wall_clock_time_millis_testing
49.07822608947754
wall_clock_time_millis_testing
48.867225646972656
wall_clock_time_millis_testing
48.664093017578125
wall_clock_time_millis_testing
49.13187026977539
wall_clock_time_millis_testing
48.25115203857422
wall_clock_time_millis_training
1196.6674327850342
wall_clock_time_millis_training
1186.7527961730957
wall_clock_time_millis_training
1158.5605144500732
wall_clock_time_millis_training
1158.1015586853027
wall_clock_time_millis_training
1188.3792877197266
wall_clock_time_millis_training
1184.5180988311768
wall_clock_time_millis_training
1160.431146621704
wall_clock_time_millis_training
1252.0513534545898
wall_clock_time_millis_training
1151.1971950531006
wall_clock_time_millis_training
1172.330379486084
weighted_recall
0.52 [0.586207,0.428571]
weighted_recall
0.62 [0.793103,0.380952]
weighted_recall
0.62 [0.758621,0.428571]
weighted_recall
0.5 [0.689655,0.238095]
weighted_recall
0.56 [0.724138,0.333333]
weighted_recall
0.6 [0.827586,0.285714]
weighted_recall
0.6 [0.689655,0.47619]
weighted_recall
0.66 [0.689655,0.619048]
weighted_recall
0.52 [0.586207,0.428571]
weighted_recall
0.64 [0.724138,0.52381]