10560776
869
Pieter Gijsbers
167120
Supervised Classification
18995
sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder),decisiontreeclassifier=sklearn.tree._classes.DecisionTreeClassifier)(1)
8277066
Python_3.8.3. Sklearn_0.24.2. NumPy_1.21.2. SciPy_1.7.1.
add_indicator
false
18819
copy
true
18819
fill_value
null
18819
missing_values
NaN
18819
strategy
"mean"
18819
verbose
0
18819
ccp_alpha
0.0
18820
class_weight
null
18820
criterion
"gini"
18820
max_depth
1
18820
max_features
null
18820
max_leaf_nodes
null
18820
min_impurity_decrease
0.0
18820
min_impurity_split
null
18820
min_samples_leaf
1
18820
min_samples_split
2
18820
min_weight_fraction_leaf
0.0
18820
random_state
31861
18820
splitter
"best"
18820
memory
null
18995
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "decisiontreeclassifier", "step_name": "decisiontreeclassifier"}}]
18995
verbose
false
18995
n_jobs
null
18996
remainder
"drop"
18996
sparse_threshold
0.3
18996
transformer_weights
null
18996
transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cont"}}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cat"}}}]
18996
verbose
false
18996
categories
"auto"
18997
drop
null
18997
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
18997
handle_unknown
"ignore"
18997
sparse
true
18997
openml-python
Sklearn_0.24.2.
23517
numerai28.6
https://www.openml.org/data/download/2160285/phpg2t68G
-1
22047658
description
https://api.openml.org/data/download/22047658/description.xml
-1
22047659
predictions
https://api.openml.org/data/download/22047659/predictions.arff
area_under_roc_curve
0.5118622092744514 [0.511862,0.511862]
average_cost
0
f_measure
0.4902524121168479 [0.37608,0.602088]
kappa
0.02379514762749476
kb_relative_information_score
0.001242719704458253
mean_absolute_error
0.4995077307451483
mean_prior_absolute_error
0.4999465378136831
weighted_recall
0.514078073089701 [0.295959,0.727732]
number_of_instances
96320 [47662,48658]
precision
0.5145507438903937 [0.515683,0.513441]
predictive_accuracy
0.514078073089701
prior_entropy
0.999922867391954
relative_absolute_error
0.9991222920145547
root_mean_prior_squared_error
0.4999732676368448
root_mean_squared_error
0.49980581596824053
root_relative_squared_error
0.9996650787563187
total_cost
0
unweighted_recall
0.5118456904184481 [0.295959,0.727732]
area_under_roc_curve
0.5102992244341721 [0.510299,0.510299]
area_under_roc_curve
0.5135914930736343 [0.513591,0.513591]
area_under_roc_curve
0.5052806312834833 [0.505281,0.505281]
area_under_roc_curve
0.5063100234414926 [0.50631,0.50631]
area_under_roc_curve
0.5064665903968701 [0.506467,0.506467]
area_under_roc_curve
0.5121562102707578 [0.512156,0.512156]
area_under_roc_curve
0.5122295134445782 [0.51223,0.51223]
area_under_roc_curve
0.5173269730325385 [0.517327,0.517327]
area_under_roc_curve
0.517543562351421 [0.517544,0.517544]
area_under_roc_curve
0.5172666057129217 [0.517267,0.517267]
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
0.4821421029193237 [0.352064,0.6096]
f_measure
0.4821476959984085 [0.345138,0.616398]
f_measure
0.504873441545492 [0.481542,0.527725]
f_measure
0.47546826323864244 [0.338647,0.609478]
f_measure
0.45838910772766234 [0.286879,0.626374]
f_measure
0.4798041961558405 [0.340438,0.616307]
f_measure
0.4818183629442343 [0.346708,0.614152]
f_measure
0.4875104063099341 [0.35437,0.617914]
f_measure
0.5171861153557412 [0.494942,0.538973]
f_measure
0.4858819055071861 [0.349282,0.619674]
kappa
0.020698641321820692
kappa
0.02732257347156766
kappa
0.010569215219911733
kappa
0.01268513713987425
kappa
0.013014806187268227
kappa
0.024441365180623568
kappa
0.024585125625823316
kappa
0.03483192544520715
kappa
0.03511278778839039
kappa
0.03471478352718342
kb_relative_information_score
0.0011307136642983323
kb_relative_information_score
0.0014699030236106337
kb_relative_information_score
0.0005016322033190783
kb_relative_information_score
0.000717920754228332
kb_relative_information_score
0.0007731314725452722
kb_relative_information_score
0.0013319156182939418
kb_relative_information_score
0.001333073977521127
kb_relative_information_score
0.001815711199150884
kb_relative_information_score
0.0015390422805764154
kb_relative_information_score
0.001814152494219395
mean_absolute_error
0.499547951787835
mean_absolute_error
0.49942847435528986
mean_absolute_error
0.4997681778793611
mean_absolute_error
0.49969254983132916
mean_absolute_error
0.49967275890867824
mean_absolute_error
0.49947600407371145
mean_absolute_error
0.49947557804426734
mean_absolute_error
0.4993057217014667
mean_absolute_error
0.49940379941768015
mean_absolute_error
0.49930629145171507
mean_prior_absolute_error
0.49994739664383886
mean_prior_absolute_error
0.49994739664383886
mean_prior_absolute_error
0.4999463231059595
mean_prior_absolute_error
0.4999463231059595
mean_prior_absolute_error
0.4999463231059595
mean_prior_absolute_error
0.4999463231059595
mean_prior_absolute_error
0.4999463231059595
mean_prior_absolute_error
0.4999463231059595
mean_prior_absolute_error
0.4999463231059595
mean_prior_absolute_error
0.4999463231059595
number_of_instances
9632 [4767,4865]
number_of_instances
9632 [4767,4865]
number_of_instances
9632 [4766,4866]
number_of_instances
9632 [4766,4866]
number_of_instances
9632 [4766,4866]
number_of_instances
9632 [4766,4866]
number_of_instances
9632 [4766,4866]
number_of_instances
9632 [4766,4866]
number_of_instances
9632 [4766,4866]
number_of_instances
9632 [4766,4866]
precision
0.5134657891509528 [0.514943,0.512018]
precision
0.518380492166253 [0.522776,0.514074]
precision
0.5053658751498052 [0.500566,0.510067]
precision
0.5084738013429745 [0.507544,0.509384]
precision
0.5103746142469403 [0.511578,0.509196]
precision
0.5165881226337179 [0.520052,0.513196]
precision
0.5163680432187582 [0.519481,0.51332]
precision
0.5231103132932022 [0.529633,0.516722]
precision
0.5176959548617718 [0.513892,0.521422]
precision
0.5233963356349788 [0.530342,0.516594]
predictive_accuracy
0.5127699335548173
predictive_accuracy
0.5161960132890365
predictive_accuracy
0.5057101328903655
predictive_accuracy
0.5089285714285715
predictive_accuracy
0.509655315614618
predictive_accuracy
0.5148463455149502
predictive_accuracy
0.5148463455149502
predictive_accuracy
0.5199335548172758
predictive_accuracy
0.5179609634551494
predictive_accuracy
0.5199335548172758
prior_entropy
0.9999253455413475
prior_entropy
0.9999253455413475
prior_entropy
0.9999222478553909
prior_entropy
0.9999222478553909
prior_entropy
0.9999222478553909
prior_entropy
0.9999222478553909
prior_entropy
0.9999222478553909
prior_entropy
0.9999222478553909
prior_entropy
0.9999222478553909
prior_entropy
0.9999222478553909
relative_absolute_error
0.9992010262305888
relative_absolute_error
0.9989620462231977
relative_absolute_error
0.9996436712935669
relative_absolute_error
0.9994923989578446
relative_absolute_error
0.9994528128628255
relative_absolute_error
0.9990592609436026
relative_absolute_error
0.9990584087932329
relative_absolute_error
0.9987186596342723
relative_absolute_error
0.998914836126989
relative_absolute_error
0.9987197992571119
root_mean_prior_squared_error
0.4999741265126469
root_mean_prior_squared_error
0.4999741265126469
root_mean_prior_squared_error
0.49997305291805966
root_mean_prior_squared_error
0.49997305291805966
root_mean_prior_squared_error
0.49997305291805966
root_mean_prior_squared_error
0.49997305291805966
root_mean_prior_squared_error
0.49997305291805966
root_mean_prior_squared_error
0.49997305291805966
root_mean_prior_squared_error
0.49997305291805966
root_mean_prior_squared_error
0.49997305291805966
root_mean_squared_error
0.49986418377623676
root_mean_squared_error
0.499723976758037
root_mean_squared_error
0.500075816570947
root_mean_squared_error
0.5000216033823551
root_mean_squared_error
0.49997626740731943
root_mean_squared_error
0.4997760113497568
root_mean_squared_error
0.4997786267691173
root_mean_squared_error
0.4995875846780184
root_mean_squared_error
0.4996678744037402
root_mean_squared_error
0.49958593923234323
root_relative_squared_error
0.9997801031481829
root_relative_squared_error
0.9994996746004544
root_relative_squared_error
1.0002055383830941
root_relative_squared_error
1.0000971061620463
root_relative_squared_error
1.0000064293250228
root_relative_squared_error
0.9996058956234684
root_relative_squared_error
0.9996111267441162
root_relative_squared_error
0.999229021968701
root_relative_squared_error
0.9993896100749065
root_relative_squared_error
0.9992257308999813
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
0.510299224434172 [0.267464,0.753135]
unweighted_recall
0.5135914930736343 [0.257604,0.769579]
unweighted_recall
0.5052806312834833 [0.463911,0.54665]
unweighted_recall
0.5063100234414926 [0.254091,0.758529]
unweighted_recall
0.5064665903968703 [0.199329,0.813605]
unweighted_recall
0.5121562102707578 [0.253042,0.77127]
unweighted_recall
0.5122295134445782 [0.260176,0.764283]
unweighted_recall
0.5173269730325385 [0.266261,0.768393]
unweighted_recall
0.517543562351421 [0.477339,0.557748]
unweighted_recall
0.5172666057129216 [0.260386,0.774147]
usercpu_time_millis
234.375
usercpu_time_millis
250
usercpu_time_millis
234.375
usercpu_time_millis
250
usercpu_time_millis
250
usercpu_time_millis
250
usercpu_time_millis
234.375
usercpu_time_millis
234.375
usercpu_time_millis
250
usercpu_time_millis
234.375
usercpu_time_millis_testing
0
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0
usercpu_time_millis_training
234.375
usercpu_time_millis_training
234.375
usercpu_time_millis_training
234.375
usercpu_time_millis_training
234.375
usercpu_time_millis_training
250
usercpu_time_millis_training
234.375
usercpu_time_millis_training
234.375
usercpu_time_millis_training
234.375
usercpu_time_millis_training
234.375
usercpu_time_millis_training
234.375
wall_clock_time_millis
241.99151992797852
wall_clock_time_millis
241.30702018737793
wall_clock_time_millis
239.69388008117676
wall_clock_time_millis
246.49429321289062
wall_clock_time_millis
248.20184707641602
wall_clock_time_millis
242.54703521728516
wall_clock_time_millis
240.3888702392578
wall_clock_time_millis
240.6942844390869
wall_clock_time_millis
241.2877082824707
wall_clock_time_millis
239.02559280395508
wall_clock_time_millis_testing
6.003856658935547
wall_clock_time_millis_testing
4.997968673706055
wall_clock_time_millis_testing
5.012989044189453
wall_clock_time_millis_testing
5.125522613525391
wall_clock_time_millis_testing
5.012750625610352
wall_clock_time_millis_testing
6.00433349609375
wall_clock_time_millis_testing
4.835844039916992
wall_clock_time_millis_testing
4.997968673706055
wall_clock_time_millis_testing
6.400346755981445
wall_clock_time_millis_testing
5.012989044189453
wall_clock_time_millis_training
235.98766326904297
wall_clock_time_millis_training
236.30905151367188
wall_clock_time_millis_training
234.6808910369873
wall_clock_time_millis_training
241.36877059936523
wall_clock_time_millis_training
243.18909645080566
wall_clock_time_millis_training
236.5427017211914
wall_clock_time_millis_training
235.55302619934082
wall_clock_time_millis_training
235.69631576538086
wall_clock_time_millis_training
234.88736152648926
wall_clock_time_millis_training
234.01260375976562
weighted_recall
0.5127699335548173 [0.267464,0.753135]
weighted_recall
0.5161960132890365 [0.257604,0.769579]
weighted_recall
0.5057101328903655 [0.463911,0.54665]
weighted_recall
0.5089285714285714 [0.254091,0.758529]
weighted_recall
0.509655315614618 [0.199329,0.813605]
weighted_recall
0.5148463455149501 [0.253042,0.77127]
weighted_recall
0.5148463455149501 [0.260176,0.764283]
weighted_recall
0.5199335548172758 [0.266261,0.768393]
weighted_recall
0.5179609634551495 [0.477339,0.557748]
weighted_recall
0.5199335548172758 [0.260386,0.774147]